From edfcb79d57bc6f36c1b3925131e3b38e555ef713 Mon Sep 17 00:00:00 2001 From: Claude Date: Thu, 16 Jul 2026 21:34:53 +0000 Subject: [PATCH 1/2] content: rebuild Module 0 and Module 1 to the v2 production standard MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Full Release 2 rewrite per docs/CURRICULUM-REDESIGN.md's production order (steps 1-2): rebuild Module 0 and rewrite Module 1 using the Big Six lesson as the model. - Module 0: replace all AdCraft/AI Mentor/"three simulations" legacy copy with the real platform (Home/Courses/Tools/Profile nav, five named tools, real badges). 0.3 now delivers the module's required artifact — a client-brief intake checklist — instead of a generic simulation preview. - Module 1: migrate docs/1-1-read-ppc-data-before-you-change-it.md into 1.1 as the new decision-loop opener, fix a text-encoding corruption in 1.2, correct the "Quality Score" claim per the content audit's required replacement language, and remove legacy tool references from 1.5. - Fix quiz-questions.json's Module 0 auction question, which taught the false "$0.01 above next bid" mechanic flagged in the content audit. - Apply the voice guide throughout: no emoji, no banned phrases, acronyms defined on first use per lesson, client-language blocks added. Co-Authored-By: Claude Sonnet 5 Claude-Session: https://claude.ai/code/session_01QSfREMzPnGxjrUPSbz3PGp --- .../modules/0-onboarding/0.1-welcome.mdx | 106 ++++++----- .../0-onboarding/0.2-platform-tour.mdx | 106 ++++++----- .../0-onboarding/0.3-first-simulation.mdx | 92 ++++----- ...1.1-read-ppc-data-before-you-change-it.mdx | 163 ++++++++++++++++ .../modules/1-foundations/1.1-what-is-ppc.mdx | 174 ------------------ .../modules/1-foundations/1.2-cpc-ctr.mdx | 148 ++++++++------- .../1.3-acos-tacos-profitability.mdx | 145 +++++++-------- .../1.4-roas-measuring-return.mdx | 137 ++++++-------- .../1-foundations/1.5-metrics-in-practice.mdx | 170 +++++++---------- content/curriculum/quiz-questions.json | 12 +- scripts/import-amph-content.ts | 2 +- 11 files changed, 590 insertions(+), 665 deletions(-) create mode 100644 content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx delete mode 100755 content/curriculum/modules/1-foundations/1.1-what-is-ppc.mdx diff --git a/content/curriculum/modules/0-onboarding/0.1-welcome.mdx b/content/curriculum/modules/0-onboarding/0.1-welcome.mdx index bae9ad8..8ec67d9 100755 --- a/content/curriculum/modules/0-onboarding/0.1-welcome.mdx +++ b/content/curriculum/modules/0-onboarding/0.1-welcome.mdx @@ -1,5 +1,5 @@ --- -title: "What Is Amazon PPC (And Why Should You Care?)" +title: "Welcome. Your Path to Amazon PPC Work" slug: "0.1-welcome" moduleNumber: 0 lessonNumber: 1 @@ -8,80 +8,86 @@ estimatedMinutes: 8 xpReward: 50 --- -# What Is Amazon PPC (And Why Should You Care?) +# Welcome. Your Path to Amazon PPC Work -Picture this. You're scrolling through Amazon looking for a new phone case. The first four results at the top of the page — the ones you see before anything else — are **ads**. Someone paid Amazon to be there. Every time you click one of those ads, that seller pays a small fee. Even if you don't buy anything. +## What you can do after this lesson -That's PPC — **Pay-Per-Click**. You pay only when someone clicks. Not when they see it. Not when they scroll past. Only when they actually click. +Explain what an Amazon PPC virtual assistant does, name the three courses ahead of you, and describe the work loop you'll use in every lesson and tool. -> 🎯 **Analogy**: PPC is like renting a prime spot at a busy farmer's market. You pay the market owner a flat fee for the best table. Then every time someone walks up and picks up your product (clicks), you pay a small fee. If nobody stops by, you pay nothing. If 50 people stop by, you pay 50 small fees — but if 10 of them buy, you've made your money back and then some. +## The job in one sentence -## Why PPC Matters +An Amazon PPC VA reads account data, makes a defensible advertising decision, makes the approved change, and explains it in plain English. -Amazon is where people go to **buy things**. They're not browsing social media or watching videos. They have their credit card out. They're typing "stainless steel water bottle" because they want one — right now. +Amazon PPC (Pay-Per-Click) is Amazon's Sponsored Products, Sponsored Brands, and Sponsored Display advertising system. A seller pays each time a shopper clicks their ad, not each time it's shown. Your job is running that system on a client's behalf, safely. -PPC lets sellers put their products in front of those ready-to-buy shoppers at the exact moment they're searching. It's the most direct path from "I want this" to "I bought this." +## This is not a memorization course -Here's the part that makes PPC a **career skill**: There are over 2 million active Amazon sellers worldwide, and most of them need help running their ads. They don't have time to learn all the math, strategy, and optimization. That's where someone like you comes in. +Amazon PPC has formulas, reports, settings, and acronyms. You'll learn them. The real skill is knowing what to do when the numbers change. -## What You'll Be Able to Do +For example, a campaign can have a high ACoS (Advertising Cost of Sales — ad spend divided by ad sales) for different reasons: -By the end of this course, you'll be able to: +- The campaign bought clicks from the wrong searches. +- The product page didn't convince shoppers to buy. +- The keyword converts, but the cost per click is too high. +- The campaign is in a planned launch phase and the client accepts a higher cost for now. -- **Explain every PPC metric** to a client using plain language they understand -- **Build real campaign structures** — organized, optimized, and profitable -- **Make smart bidding decisions** based on data, not guesswork -- **Find and eliminate wasted ad spend** by reading search term reports -- **Manage a client's ad budget** like it was your own money +The number alone doesn't tell you which one it is. You need a work loop. -These aren't theoretical skills. After this course, you can take on freelance PPC clients or land a job as an Amazon advertising specialist. +## Your work loop -## How This Course Works +- **Read.** Check the objective and the data. +- **Decide.** Identify the likely problem and the safest next step. +- **Change.** Make the approved update in the account, or in one of this platform's tools while you're still practicing. +- **Explain.** Record what changed, why it changed, and when you'll review it. -> 💡 **This isn't a watch-and-forget course.** You'll learn a concept, then immediately practice it in one of five hands-on tools. Think of it like flight training — pilots don't just read textbooks. They get in a cockpit and fly. +This loop is what separates a VA who guesses from one a client keeps on retainer. It also makes handovers easier when another VA, a manager, or the client needs to understand your decision later. -Here's the cycle: +## The three courses -1. **Learn** — Read a short lesson (like this one!) -2. **Practice** — Open a tool and make real decisions on a scenario -3. **Get feedback** — See your score, read explanations, understand mistakes -4. **Level up** — Earn XP and badges as you improve +| Course | Promise | You'll build | +|---|---|---| +| PPC Foundations | You can support a safe Sponsored Products launch and explain the numbers behind it. | A listing-readiness checklist, a profitability and max-CPC worksheet, a keyword map, and a campaign-build rationale. | +| Accelerated Mastery | You can run a structured weekly optimization cycle and report the outcome. | A search-term action log, a bid-change plan, a budget decision log, and a one-page client report. | +| Ultimate Transformation | You can present a small account plan and operate like a dependable junior PPC specialist. | A reviewed portfolio, a recorded walkthrough, and an interview-ready story. | -### The Five Practice Tools +You're starting Module 0 of PPC Foundations. Each course unlocks in order, and each module inside a course unlocks after you finish the one before it. -| Tool | What You'll Practice | The Skill You'll Build | -|-----------|---------------------|----------------------| -| **Campaign Builder** | Build Sponsored Products, Brands, Display, and Sponsored TV campaigns | Campaign architecture | -| **Bid Elevator** | Adjust keyword bids against real performance data | Bid strategy & math | -| **Search Term Triage** | Triage search terms: keep, pause, negate, or optimize bid | Search term analysis & optimization | -| **Listing Audit** | Score a listing on title, bullets, images, A+ content | Conversion diagnosis | -| **Keyword Research** | Categorize keywords as primary, secondary, or negative | Keyword targeting | +You won't leave this course with only a certificate. You'll leave with the work samples in the table above, plus the practice reps behind them. Keep your worksheets organized as you go. They show how you think, not just what you remember. -### Track Your Progress +## How a lesson works -- **XP & Levels** — Track your progress and unlock new content -- **Badges** — Earn achievements as you hit milestones +Every lesson in this course follows the same shape: -## What PPC Actually Looks Like +1. Learn the decision, with a worked example using real numbers. +2. Work through a realistic case yourself, before you see the answer. +3. Practice the skill in one of the five tools, when the module reaches that point. +4. Explain the decision the way you would to a client. +5. Check your understanding. -Let's make this real. Here's what happens when an Amazon seller runs a PPC ad: +You can repeat a lesson or a tool scenario as many times as you want. Repeating a task after feedback is practice, not failure. -1. The seller picks a product — let's say a $25 silicone baking mat -2. They tell Amazon: "Show my ad when people search for 'silicone baking mat'" -3. They set a **bid** — "I'll pay up to $1.00 each time someone clicks" -4. Amazon shows the ad in search results -5. A shopper sees it, clicks, and visits the product page -6. The seller pays $0.82 (less than the $1.00 bid — more on this later!) -7. The shopper buys — the seller made a $25 sale from a $0.82 ad click +## Your first professional habit -That's PPC in 30 seconds. The rest of this course teaches you how to do that **profitably, consistently, and at scale**. +Don't guess when information is missing. -## Your First Mission +Before you touch a PPC task, ask for the facts that control the decision: -After you complete this lesson, you'll get a quick tour of the platform so you know exactly where everything is. Then you'll dive into Module 1, where you'll learn the metrics that every PPC manager lives and breathes by. +- Product or ASIN. +- Objective. +- Budget. +- Target ACoS, or the profitability rule the client uses. +- Current stock position. +- Price, offer, and promotion plans. +- Any approved limits on bids, budgets, or campaign changes. -> ⚠️ **Don't worry about memorizing anything yet.** This was the big picture. The details come in Module 1 — and they'll make way more sense now that you know what we're building toward. +A good question protects a client's account. A fast, unsupported change can cost real money. Lesson 0.3 walks through this in detail with a sample client brief. ---- +## Client language + +Use this when you need information before starting work: + +> "Before I build the campaign, please confirm the product goal, daily budget, target ACoS, and whether the listing is in stock and ready to advertise. This helps me set safe bids and measure the result correctly." + +## Key takeaway -*Welcome aboard! Next up: a quick tour of the platform so you can navigate like a pro.* +Your job isn't pressing buttons quickly. It's making a safe, evidence-based decision, and making that decision easy for someone else to understand. diff --git a/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx b/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx index 0f518b7..aa8738b 100755 --- a/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx +++ b/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx @@ -1,5 +1,5 @@ --- -title: "Platform Tour & Navigation" +title: "Platform Tour and Navigation" slug: "0.2-platform-tour" moduleNumber: 0 lessonNumber: 2 @@ -8,68 +8,84 @@ estimatedMinutes: 8 xpReward: 50 --- -# Platform Tour & Navigation +# Platform Tour and Navigation -Everything you need is one tap away. Let's take a quick tour so you know exactly where to find things. +## What you can do after this lesson -## The Bottom Nav — Your Four Stops +Find your way around Project Amazon PH Academy, name the five practice tools and when each one unlocks, and describe what a real Amazon Ads Console session will eventually look like. -On mobile, four tabs sit at the bottom of every screen: +## The decision in one sentence -| Tab | What It Does | When You'll Use It | -|---------|-------------|-------------------| -| **Home** | Your home base — shows progress, XP, and quick links | Every time you open the app | -| **Courses** | Structured lessons organized by module | When you're learning new concepts | -| **Tools** | Five hands-on practice tools | When you're ready to apply what you learned | -| **Profile** | Your account and payments | When you need to manage your account | +Before you touch a real client account, know where every skill lives in this platform, so you spend your study time on PPC decisions instead of hunting for buttons. -> 💡 **Tip**: Open each tab now to see what's inside. Don't worry about understanding everything yet — you're just getting familiar with the layout. +## Your four main sections -## Home — The Big Picture +The app has four sections, reachable from the navigation bar on every screen: -Home answers one question: **"What should I do next?"** +| Section | What it does | When you'll use it | +|---|---|---| +| Home | Your starting point. Shows what to do next and your XP progress. | Every time you open the app. | +| Courses | Your enrolled courses, broken into modules and lessons, in order. | Whenever you're learning or reviewing a lesson. | +| Tools | The five practice tools, each with its own scenario library. | Once a module unlocks the tool tied to it. | +| Profile | Your account, enrollment, and payment history. | Managing your account or checking what you're enrolled in. | -- **Progress card** — Shows your current level and XP -- **Course cards** — Each course shows a progress bar and whether it's locked, in progress, or complete +## Courses — your learning path -## Courses — Your Learning Path +The Courses section shows your enrolled courses. Inside each course, modules unlock in order: you finish Module 0 before Module 1 unlocks, Module 1 before Module 2, and so on. Each module lists its lessons and, where one exists, a knowledge-check quiz at the end. -The Courses view shows every module in order. Right now that's: +You're in PPC Foundations right now, Module 0. Here's the full module lineup: -| Module | Title | What You'll Learn | -|--------|-------|------------------| -| 0 | Onboarding | Platform orientation, the work loop | -| 1 | PPC Foundations | The Big Six metrics — CPC, ACoS, ROAS, and more | -| 2 | Keyword Research | Match types, negatives, keyword grouping | -| 3 | Listing Optimization | Listing anatomy, A+ content, conversion signals | -| 4 | Campaign Architecture | Sponsored Products, Brands, Display, campaign structure | -| 5 | Portfolio Strategy | Portfolios, budget pacing, seasonal strategy | -| 6 | Bidding Lab | When and how much to bid | -| 7 | Search Term Triage | Finding and fixing wasted ad spend | -| 8 | Competitive Intelligence | Brand Analytics, share of voice, benchmarking | +| Module | Title | What you'll learn | +|---|---|---| +| 0 | Onboarding | Platform orientation, the work loop, account safety, client briefs. | +| 1 | PPC Foundations | The Big Six metrics — CPC, CTR, ACoS, TACoS, ROAS, CVR. | +| 2 | Keyword Research | Match types, negatives, keyword grouping, the research workflow. | +| 3 | Listing Optimization | Listing anatomy, A+ content, conversion signals. | +| 4 | Campaign Architecture | Sponsored Products, Brands, and Display campaign structure. | +| 5 | Portfolio Strategy | Portfolios, budget pacing, seasonal strategy. | +| 6 | Bidding Lab | When and how much to bid. | +| 7 | Search Term Triage | Finding and fixing wasted ad spend. | +| 8 | Competitive Intelligence | Brand Analytics, share of voice, benchmarking. | -Each module unlocks after you complete the one before it. This is on purpose — each module builds on the previous one. +## Tools — where you practice -## Tools — Where Theory Meets Practice +A tool is a realistic practice scenario. It gives you a product, an objective, and a set of decisions to make, the same kind of decisions you'd face on a real client account. No client money is on the line while you practice. -The five tools are where you **do the thing**, not just read about it. +| Tool | What you practice | Unlocks around | +|---|---|---| +| Keyword Research | Sorting keywords into primary, secondary, and negative, to build the target list a campaign runs on. | Module 2, Keyword Research. | +| Listing Audit | Scoring a product listing's title, images, and content for how well it can convert paid traffic. | Module 3, Listing Optimization. | +| Campaign Builder | Building a Sponsored Products, Sponsored Brands, or Sponsored Display campaign structure. | Module 4, Campaign Architecture. | +| Bid Elevator | Adjusting keyword bids against real performance data. | Module 6, Bidding Lab. | +| Search Term Triage | Deciding keep, harvest, lower bid, negate exact, negate phrase, or watch for each search term in a report. | Module 7, Search Term Triage. | -| Tool | What You'll Do | -|-----------|----------------| -| **Campaign Builder** | Build Sponsored Products, Brands, Display, and Sponsored TV campaigns | -| **Bid Elevator** | Adjust keyword bids against real performance data | -| **Search Term Triage** | Triage search terms: keep, pause, negate, or optimize bid | -| **Listing Audit** | Score a listing on title, bullets, images, A+ content | -| **Keyword Research** | Categorize keywords as primary, secondary, or negative | +Each tool stays available after it unlocks, so you can replay a scenario any time you want more reps. Your best attempt counts toward badges and XP; reviewing a lower-scoring attempt is still useful practice. -Pick a tool, then pick a scenario. Each scenario gives you a briefing, lets you make decisions, then scores your work with a breakdown you can review. +## XP and badges -> 💡 **Tip**: You can replay scenarios as many times as you want. Your best score counts for XP, but the real value is in reviewing your mistakes and learning from them. +You earn XP for finishing lessons and tool scenarios. Badges recognize specific milestones, not just XP totals. A few examples you'll run into early: -## XP and Badges +- **First Steps** — completing your first lesson. +- **Quiz Ace** — scoring 100% on a knowledge-check quiz. +- **Week Warrior** — logging in seven days in a row. -You earn XP by completing lessons and tool scenarios. XP adds up to your level, shown on Home and in your Profile. Badges unlock as you hit milestones — your first one appears after finishing Module 1. +XP and badges track your progress. They don't replace the work samples listed in Lesson 0.1 — those are what you'll actually show a client or a hiring manager. ---- +## A preview of the real Amazon Ads Console + +Everything above is this platform. When you eventually work in a client's real Amazon Ads account, the layout is different, and Amazon changes it over time. Two things stay true regardless of the exact screen layout: + +- Campaign setup, keyword targeting, and bids live inside the advertising console, separate from Seller Central's inventory and order screens. +- Performance reports (impressions, clicks, spend, sales, search terms) are what you'll read before making any change. + +Module 4 gives you a hands-on walkthrough tied to the Campaign Builder tool, once you know the metrics and targeting concepts that make the console screens make sense. + +## Client language + +Use this when a client asks how you're learning the platform: + +> "I'm working through structured modules with hands-on practice tools before touching your account, so the first changes I make are already backed by reps, not guesswork." + +## Key takeaway -*You now know your way around the platform. Next up: your first look at the Campaign Builder tool so you can see what PPC practice looks like.* +Four sections, five tools, one course path that unlocks in order. You don't need to memorize the console layout today. You need to know where your own practice reps happen. diff --git a/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx b/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx index 35878c5..f927c24 100755 --- a/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx +++ b/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx @@ -1,87 +1,71 @@ --- -title: "Your First Look: Campaign Builder Preview" +title: "Account Safety and the Client Brief" slug: "0.3-first-simulation" moduleNumber: 0 lessonNumber: 3 type: "reading" -estimatedMinutes: 8 +estimatedMinutes: 10 xpReward: 50 --- -# Your First Look: Campaign Builder Preview +# Account Safety and the Client Brief -You've learned what PPC is and toured the platform. Now let's peek at what a Campaign Builder scenario actually looks like — so when you start the real thing after Module 4, nothing catches you off guard. +## What you can do after this lesson -## What Is a Tool Scenario? +Explain why you confirm facts before changing a live account, and fill out a client-brief intake checklist from a real conversation. -A scenario is a **realistic practice case**. It gives you a product, a budget, and a set of decisions to make — just like you'd face managing ads for a real client. The difference? No real money is on the line. You're building muscle memory in a safe environment. +## The decision in one sentence -The Campaign Builder tool asks you to: +Before you touch bids, budgets, or targeting on a client's account, you need the brief that tells you what "safe" and "successful" mean for this specific product. -1. **Pick a product** — You'll see details like price, reviews, and competition -2. **Choose your campaign type** — Sponsored Products, Sponsored Brands, or Sponsored Display -3. **Set up keyword targeting** — Decide which search terms your ads should appear for -4. **Write your campaign name** — Following real naming conventions -5. **Set bids and budgets** — How much you're willing to pay per click and per day +## Why this matters before Module 1 -## How the Campaign Builder Works +A client's Amazon Ads account spends real money the moment a campaign goes live. A wrong bid, an unapproved budget increase, or a campaign turned on before stock arrives can cost a client hundreds of dollars in a single day. None of that is reversible after the fact. You can pause a campaign, but you can't get the ad spend back. -When you open a scenario, you'll see a **briefing** that gives you everything you need to make decisions: +This is why the work loop from Lesson 0.1 starts with **Read**, not **Change**. Before any decision, you read the objective and the data. Before you can even do that, you need the client to have told you what the objective and the limits are. -- **Product details** — Price, category, profit margin, main competitor -- **Goal** — What you're trying to achieve (launch a new product? defend your brand? beat a competitor?) -- **Key formulas** — The math you'll need (don't worry, you'll learn these in Module 1!) -- **Reference material** — Tips and rules to keep in mind +## The client-brief intake checklist -Then you'll enter the **builder** — a workspace where you configure your campaign structure. You'll make decisions about: +This is the required artifact for Module 0. Use it at the start of any new client engagement, and any time a client hands you a new product to advertise. -| Decision | What You're Deciding | Why It Matters | -|----------|---------------------|----------------| -| Campaign type | SP vs SB vs SD | Each type serves a different purpose | -| Match type | Exact vs Phrase vs Broad | Controls how precisely your keywords trigger ads | -| Keywords | Which search terms to target | Determines who sees your ads | -| Bids | How much you'll pay per click | Controls how often you win ad placements | -| Budget | Daily spending limit | Prevents runaway costs | -| Negative keywords | What to exclude | Stops wasting money on irrelevant searches | +| Ask for | Why it controls the decision | +|---|---| +| Product or ASIN | You can't build or read a campaign without knowing what it's selling. | +| Business objective | Launch, defend market share, clear inventory, and grow profitably each call for a different bid and budget approach. | +| Daily and campaign budget | Sets the ceiling on what you're allowed to spend, no matter what the data suggests. | +| Target ACoS or profitability rule | Without this, "the campaign is doing fine" is a guess, not a fact. | +| Current stock position | A campaign driving clicks to an out-of-stock listing wastes the ad spend and can hurt the listing's standing. | +| Price, offer, and promotion plans | A price change mid-campaign changes the break-even math you'll calculate in Module 1. | +| Approved limits on bids, budgets, or campaign changes | Tells you what you can change yourself versus what needs sign-off first. | -## What Happens After You Build +## Your turn -Once you submit your campaign, here's what happens: +Read this sample exchange with a client: -1. **Scoring** — Your campaign is evaluated against PPC best practices -2. **Criteria breakdown** — You see exactly how you did on each decision area -3. **Feedback** — Detailed explanations of what you got right and what you could improve -4. **XP earned** — Your score determines how much experience you gain +> "Hi, I need help with my bamboo cutting board listing. It's been live for two months but sales are slow. I have about $500 a month I can put toward ads. Let me know what you need from me." -> ⚠️ **Don't stress about getting it perfect the first time.** Nobody builds a perfect campaign on their first try. The point is to learn by doing. You can always redo a scenario after you've learned more in later modules. +Using the checklist above, list which facts the client already gave you, and which facts you still need to ask for before you could safely start work. Write your answer before reading further. -## The Other Four Tools +**What the client gave you:** the product (bamboo cutting board), that it's an existing listing (not a brand-new launch), and a monthly budget ceiling ($500). -After Campaign Builder, there are four more tools waiting for you: +**What's still missing:** the business objective (is "slow sales" about visibility, conversion, or both?), a target ACoS or profitability rule, current stock position, any price or promotion plans, and whether you have approval to change bids and budgets yourself or need sign-off first. -### Bid Elevator (Module 6) -You'll adjust keyword bids against real performance data — deciding how much to bid based on what's actually converting. It builds your bidding instincts. +That gap is normal. Most clients don't know which facts you need until you ask. Asking well is part of the job. -### Search Term Triage (Module 7) -You'll analyze real search terms — the actual queries shoppers type into Amazon. For each one, you'll decide: keep it, pause it, negate it, or adjust the bid. This is where your analytical skills really shine. +## Client language -### Listing Audit (Module 3) -You'll score a product listing on title, bullets, images, and A+ content to find what's hurting conversion. +Use this the first time you take on a new product from a client: -### Keyword Research (Module 2) -You'll categorize keywords as primary, secondary, or negative to build the target list that drives a campaign. +> "Before I start, I need a few things from you: your target ACoS or profit margin, your daily budget, current stock levels, and whether you'd like me to make bid and budget changes directly or send them to you for approval first. This keeps your account safe while I work." -## What to Do Right Now +## Check -You've completed Module 0 — Onboarding! Here's what to do next: +1. Why does the work loop start with "Read" instead of "Change"? +2. Name two facts from the checklist that change the bid math you'll learn in Module 1. +3. In the sample exchange above, what's the single most important missing fact before you'd feel safe starting? -1. **Go to the Dashboard** — Click "Dashboard" in the sidebar -2. **Find Module 1: Foundations** — It should be unlocked and ready -3. **Start with Lesson 1.1** — "Understanding PPC Metrics: The Big Six" -4. **Take your time** — There's no rush. Learn the concepts, then practice them +**Answers:** (1) Because an unapproved or uninformed change can spend a client's money before you understand the objective or the limits, and ad spend isn't refundable after the fact. (2) Target ACoS or profitability rule, and price — both feed directly into the maximum-CPC formula in Module 1. (3) Answers will vary, but target ACoS or profitability rule and current stock position are the strongest candidates, since without them you can't judge whether the account is even ready to spend more on ads. -> 📌 **Key Takeaway**: Tool practice is where learning sticks. Reading about PPC is useful. Actually making PPC decisions — even in a safe environment — is where the real growth happens. +## Key takeaway ---- - -*Module 0 complete! You've earned 150 XP. Head to Module 1 to start learning the PPC metrics that every professional needs to master.* +You've finished Module 0. You know the work loop, where things live in this platform, and the habit of confirming facts before you touch an account. Module 1 gives you the math behind the "Read" step: the metrics that tell you what's actually happening in a campaign. diff --git a/content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx b/content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx new file mode 100644 index 0000000..7795322 --- /dev/null +++ b/content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx @@ -0,0 +1,163 @@ +--- +title: "Read PPC Data Before You Change PPC Data" +slug: "1.1-read-ppc-data-before-you-change-it" +moduleNumber: 1 +lessonNumber: 1 +type: "reading" +estimatedMinutes: 15 +xpReward: 75 +--- + +# Read PPC Data Before You Change PPC Data + +## What you can do after this lesson + +Read the six core Amazon PPC metrics together, identify the likely performance problem, and choose the first question to investigate before changing anything. + +## The decision in one sentence + +Don't change a bid because one metric looks bad. First find out whether the issue is traffic, conversion, cost, budget, or the campaign's own objective. + +## Meet the Big Six + +These six metrics describe what happened between the search result and the sale. Amazon reports every one of them per campaign, per ad group, and per keyword. + +- **Impressions** — how often Amazon showed the ad. +- **Clicks** — how often a shopper selected the ad. +- **CPC, cost per click** — average advertising cost for one click. `CPC = ad spend ÷ clicks`. +- **CTR, click-through rate** — the share of impressions that became clicks. `CTR = clicks ÷ impressions`. +- **CVR, conversion rate** — the share of clicks that became orders. `CVR = orders ÷ clicks`. +- **ACoS, advertising cost of sales** — advertising spend divided by ad-attributed sales. `ACoS = ad spend ÷ ad sales`. +- **TACoS, total advertising cost of sales** — advertising spend divided by total sales, including organic sales. `TACoS = ad spend ÷ total sales`. +- **ROAS, return on ad spend** — ad-attributed sales divided by advertising spend. `ROAS = ad sales ÷ ad spend`. + +People call this group the Big Six even though it includes impressions and clicks as supporting signals. The name matters less than the job each number does. + +## Start with one case + +Imagine you support a client selling a stainless-steel coffee grinder for $40. + +This week, one campaign produced: + +- 20,000 impressions. +- 160 clicks. +- $192 ad spend. +- 8 orders. +- $320 ad-attributed sales. +- $800 total sales. + +Now calculate the metrics. + +- CPC is $192 divided by 160 clicks. CPC is **$1.20**. +- CTR is 160 clicks divided by 20,000 impressions. CTR is **0.8%**. +- CVR is 8 orders divided by 160 clicks. CVR is **5%**. +- ACoS is $192 divided by $320. ACoS is **60%**. +- TACoS is $192 divided by $800. TACoS is **24%**. +- ROAS is $320 divided by $192. ROAS is **1.67x**. + +The ACoS is high. That's a signal. It isn't the decision yet. + +## Ask the questions in order + +### 1. What is the campaign trying to do? + +Check the objective before you judge the result. + +A launch campaign may accept a higher ACoS while it gathers search-term data. A mature exact-match campaign may need to stay close to a profitability target. A branded-defense campaign is measured differently again. + +Write the objective beside the data. Without it, you can't tell whether high cost is planned, temporary, or a real problem. + +### 2. Is there enough data? + +Eight orders give more information than zero orders, but they don't prove a trend will continue. Check the date range, spend, clicks, seasonality, price changes, stock, and recent campaign changes. Don't make a large change because of one noisy day. + +### 3. Is traffic the problem? + +The campaign received many impressions, but only 0.8% of shoppers clicked. Start with traffic relevance and search-result appeal. + +Check these items: + +- The actual search terms that triggered the ad. +- Whether the target is too broad for the product. +- The main image and the visible product promise. +- Price, coupon, shipping, and featured-offer position. +- Whether the product is in stock. + +If the search terms are unrelated, negative targeting or target refinement may be the right first action. If the terms are relevant but shoppers ignore the ad, inspect the listing and offer before making a large bid change. + +### 4. Is conversion the problem? + +The campaign produced 160 clicks and 8 orders. A 5% conversion rate may be acceptable or weak depending on category, price, traffic intent, and account history. Compare it with the product's normal conversion rate and similar campaign traffic. + +When CVR is weak, inspect the product detail page: + +- Is the product matched to the shopper's intent? +- Is the title clear? +- Do the images show the product and its use clearly? +- Is the price competitive against the shopper's alternatives? +- Are there review, variation, stock, or delivery issues? + +Don't call a relevant keyword "bad" before you check whether the listing can convert the shopper you paid to bring in. + +### 5. Is the click cost affordable? + +If the target ACoS is 30% and this campaign is at 60%, the cost per order is likely too high, conversion is too low, or both. + +Use maximum CPC to make the bid decision defensible. + +`maximum CPC = selling price × target ACoS × conversion rate` + +For this case, with a $40 price, 30% target ACoS, and 5% conversion rate: + +`$40 × 0.30 × 0.05 = $0.60` + +The maximum CPC is about **$0.60**. The actual CPC is $1.20. The campaign pays about twice the CPC this combination can support. + +Your next action could be to lower bids, reduce placement pressure, focus on more relevant targets, or improve conversion. The correct choice depends on what you found in the earlier questions, not on this number alone. + +## Read the pattern, not one number + +Use these quick patterns when you investigate: + +- **Low impressions:** check eligibility, stock, budget, targeting coverage, and bid. +- **High impressions with low CTR:** check query relevance, main image, price, offer, and title. +- **Clicks with low CVR:** check listing readiness and product-search fit. +- **Good CVR with high CPC:** check maximum CPC, bids, and placement adjustments. +- **High ACoS with a launch objective:** check the data plan, learning goal, and guardrails before cutting spend. +- **TACoS rising while total sales are flat or falling:** look beyond direct ad efficiency and inspect the wider sales picture. + +## Your turn + +Work this second case before checking the answer. + +A keyword has 4,000 impressions, 120 clicks, 18 orders, $180 spend, and $900 in ad-attributed sales. The product sells for $50. The client's target is 25% ACoS. + +Answer these before reading further: + +- What is the CTR? +- What is the CVR? +- What is the ACoS? +- Is traffic likely the first problem? +- What extra information do you need before changing the bid? + +**Work it through:** CTR = 120 ÷ 4,000 = 3.0%. CVR = 18 ÷ 120 = 15%. ACoS = $180 ÷ $900 = 20%. Traffic isn't the first problem here — CTR is healthy and CVR is strong, and ACoS is already below the 25% target. Before touching the bid at all, you'd still want the campaign's objective and enough days of data to know this isn't one lucky week. + +Your written answer should name the campaign objective, the data window, the maximum-CPC or break-even logic, and the next review date — not just the four calculations. + +## Client language + +Use this structure when you explain a performance issue: + +> "This campaign spent more than the current target because clicks cost more than the product's current conversion rate can support. I'm checking the search terms and listing conversion before making a bid reduction. I'll document the action and review the result after the next data window." + +## Check + +1. Why shouldn't a single high ACoS reading trigger an immediate bid cut? +2. A campaign has high impressions and a CTR of 0.3%. What's the first thing to check? +3. A campaign has strong CTR and CVR, but ACoS is still high. What's the likely lever? +4. What does maximum CPC tell you that ACoS alone doesn't? +5. Why does a launch campaign's objective change how you read a high ACoS? + +## Key takeaway + +Metrics are a diagnostic system, not a scoreboard. Read the path from impression to order, confirm the objective, and choose the smallest safe action that fits the evidence. diff --git a/content/curriculum/modules/1-foundations/1.1-what-is-ppc.mdx b/content/curriculum/modules/1-foundations/1.1-what-is-ppc.mdx deleted file mode 100755 index 72ed953..0000000 --- a/content/curriculum/modules/1-foundations/1.1-what-is-ppc.mdx +++ /dev/null @@ -1,174 +0,0 @@ ---- -title: "How Amazon Search Ads Work (The Big Six Metrics)" -slug: "1.1-understanding-ppc-metrics" -moduleNumber: 1 -lessonNumber: 1 -type: "reading" -estimatedMinutes: 15 -xpReward: 75 ---- - -# How Amazon Search Ads Work (The Big Six Metrics) - -When someone types "stainless steel water bottle" into Amazon's search bar, they see a mix of **organic results** (products that rank naturally) and **sponsored results** (products that paid to be there). Those sponsored products are running PPC ads — and every PPC ad is governed by six key metrics. - -By the end of this lesson, you'll know all six. More importantly, you'll understand what story they tell when you look at them together. - -> 🎯 **Analogy**: Imagine you run a small coffee shop. PPC metrics are like the dashboard on your espresso machine — temperature, pressure, extraction time, flow rate. Each number tells you something different about whether your coffee (your ad) is any good. Ignore them and you're guessing. Read them and you're in control. - -Let's walk through a single scenario — a **bamboo cutting board selling for $24.99 on Amazon** — and calculate all six metrics from one week of data. - -**This week's data:** -- Ad spend: $100 -- Impressions: 10,000 (times your ad was seen) -- Clicks: 150 (times someone clicked) -- Orders: 12 (times someone bought) -- Sales: $299.88 (total revenue from those 12 orders) - -Now let's measure everything. - -## Metric 1: CPC — Cost Per Click - -**What it is**: How much you pay each time someone clicks your ad. - -**Formula**: `CPC = Ad Spend ÷ Clicks` - -**Our example**: `$100 ÷ 150 = $0.67 per click` - -> 🎯 **Analogy**: CPC is like the cover charge at a club. Each person who walks through the door costs you $0.67. It doesn't matter if they buy a drink (convert) or just stand in the corner — you still paid the cover. - -**What it tells you**: Whether your traffic is expensive or cheap. Lower CPC means more clicks per dollar. - -**Good vs bad**: There's no universal "good" CPC. Kitchen gadgets might average $0.50–$2.00. Supplements or electronics can be $3.00+. What matters is whether your CPC is low *enough* to be profitable given your product price and margin. - -> 💡 **Tip**: Don't chase the lowest CPC. A $0.10 CPC on a keyword that never converts is worse than a $1.50 CPC on one that converts 20% of the time. Cheap clicks that don't sell are just wasted money. - -## Metric 2: CTR — Click-Through Rate - -**What it is**: The percentage of people who see your ad and actually click it. - -**Formula**: `CTR = Clicks ÷ Impressions × 100` - -**Our example**: `150 ÷ 10,000 × 100 = 1.5%` - -> 🎯 **Analogy**: Imagine your product listing is a shop window. CTR measures how many people who walk past actually stop, look, and walk inside. A 1.5% CTR means for every 100 people who walk past your window, about 1.5 come inside. - -**What it tells you**: How compelling your ad is to shoppers. Low CTR means your ad isn't standing out — either the keyword is too broad, your main image isn't eye-catching, or your price looks uncompetitive in the search results. - -**Good vs bad**: -- Below 0.5% — Something is wrong. Your ad isn't connecting with searchers. -- 0.5–2% — Acceptable for most categories. -- Above 2% — Good. Your ad is resonating. -- Above 5% — Excellent. You're in a strong niche with a compelling listing. - -> ⚠️ **Watch out**: Low CTR with high impressions usually means your keyword targeting is too broad. You're showing up for searches that don't match your product well. - -## Metric 3: CVR — Conversion Rate - -**What it is**: The percentage of people who click your ad and then actually buy. - -**Formula**: `CVR = Orders ÷ Clicks × 100` - -**Our example**: `12 ÷ 150 × 100 = 8%` - -> 🎯 **Analogy**: CVR is like the percentage of restaurant customers who look at the menu, order, and actually pay the bill. A high CVR means your "restaurant" (product page) is doing its job — people like what they see and they're willing to buy. - -**What it tells you**: How well your product page converts interested shoppers into buyers. This depends on your **product listing** — your photos, price, reviews, title, and description — not just your ad targeting. - -**Good vs bad**: -- Below 5% — Your listing needs work. Photos, price, or reviews might be the issue. -- 8–15% — Typical and healthy for Amazon. -- Above 15% — You've got a strong listing. Protect it. - -> 📌 **Key Takeaway**: CTR is about your **ad**. CVR is about your **product page**. These are two different problems. If CTR is low, fix your targeting. If CVR is low, fix your listing. - -## Metric 4: ACoS — Advertising Cost of Sales - -**What it is**: The percentage of your ad revenue that went to paying for ads. This is the **single most important metric** in Amazon PPC. - -**Formula**: `ACoS = Ad Spend ÷ Ad Sales × 100` - -**Our example**: `$100 ÷ $299.88 × 100 = 33%` - -> 🎯 **Analogy**: ACoS is like a restaurant's food cost percentage. If a dish sells for $20 and the ingredients cost $7, your food cost is 35%. ACoS is the same idea — what percentage of your revenue is going to ad costs? If it's lower than your profit margin, you're making money. If it's higher, you're losing money. - -**The golden rule**: Your ACoS must be **lower than your profit margin** to be profitable. - -For our bamboo cutting board: -- Selling price: $24.99 -- Cost of goods + shipping + Amazon fees: ~$17.50 -- Profit margin: ~30% ($7.49 per unit) -- Break-even ACoS: **~30%** - -With an ACoS of 33%, we're slightly above break-even. We're spending $0.33 to earn $1.00 in ad revenue — but our product only has $0.30 of margin per dollar. We're losing $0.03 per dollar of ad sales. Not catastrophic, but not profitable. - -> 💡 **Tip**: The first thing you should calculate for any product is its **break-even ACoS**. This is your North Star number. Everything else is measured against it. - -## Metric 5: TACoS — Total ACoS - -**What it is**: Your ad spend as a percentage of **total** sales (ad sales + organic sales). This gives you the big-picture view. - -**Formula**: `TACoS = Ad Spend ÷ Total Sales × 100` - -**Our example**: If total sales this week were $500 (including $200 from organic — not from ads), then: `$100 ÷ $500 × 100 = 20%` - -> 🎯 **Analogy**: ACoS is like looking at one department's expenses. TACoS is like looking at the whole company's P&L. ACoS might look fine, but TACoS tells you whether your business is growing independently or becoming addicted to ad spend. - -**What it tells you**: How dependent your business is on paid advertising. A declining TACoS means your organic sales are growing — your product is ranking better, getting more reviews, building momentum. - -**Good vs bad**: -- Below 10% — Excellent. Strong organic presence. -- 10–20% — Healthy. Balanced between paid and organic. -- Above 25% — You're too dependent on ads. Invest in organic ranking. -- Above 40% — Danger zone. Your business model may not be sustainable. - -> ⚠️ **Watch out**: Some sellers celebrate a low ACoS while their TACoS climbs. That means their organic sales are shrinking even as their ads look efficient. Always check TACoS. - -## Metric 6: ROAS — Return on Ad Spend - -**What it is**: How many dollars of revenue you get back for every dollar you spend on ads. It's ACoS flipped upside down. - -**Formula**: `ROAS = Ad Sales ÷ Ad Spend` - -**Our example**: `$299.88 ÷ $100 = 3.0x` - -> 🎯 **Analogy**: ROAS is like a vending machine's return. If you put $1 in and get $3 worth of snacks out, your ROAS is 3x. You want this number as high as possible. - -**The relationship**: ROAS = 1 ÷ ACoS (and vice versa) - -| ACoS | ROAS | What It Means | -|------|------|--------------| -| 25% | 4.0x | Spend $1, earn $4 — very efficient | -| 33% | 3.0x | Spend $1, earn $3 — marginal | -| 50% | 2.0x | Spend $1, earn $2 — usually unprofitable | -| 100% | 1.0x | Spend $1, earn $1 — breaking even on ads alone (no profit) | - -Most PPC managers use ACoS because "lower is better" is intuitive. But ROAS is useful when talking to business owners — "For every dollar I spend, I bring back $3.50" is a compelling pitch. - -## Quick Self-Check - -Before moving on, test yourself: - -1. If you spend $200 on ads and get 400 clicks, what's your CPC? -2. If 5,000 people see your ad and 75 click, what's your CTR? -3. Of those 75 clicks, 6 result in orders. What's your CVR? -4. Those 6 orders generated $150 in sales. What's your ACoS? - -> 💡 **Answers**: CPC = $0.50, CTR = 1.5%, CVR = 8%, ACoS = 133% (that's terrible — you're spending $200 to make $150 in ad revenue!) - -## The Summary Cheat Sheet - -| Metric | What It Measures | Formula | Lower or Higher = Better? | -|--------|-----------------|---------|--------------------------| -| CPC | Cost per click | Spend ÷ Clicks | Lower (usually) | -| CTR | Ad relevance | Clicks ÷ Impressions | Higher | -| CVR | Listing quality | Orders ÷ Clicks | Higher | -| ACoS | Ad efficiency | Spend ÷ Ad Sales | Lower (below margin = profit) | -| TACoS | Business health | Spend ÷ Total Sales | Lower | -| ROAS | Revenue per ad dollar | Ad Sales ÷ Spend | Higher | - -> 📌 **Key Takeaway**: These six metrics are your language. Every PPC decision — from setting a bid to pausing a keyword — starts with reading these numbers. In the next four lessons, we'll go deeper on each one. - ---- - -*Great start! In the next lesson, we'll dive into CPC and CTR — the metrics that tell you whether your ads are showing up in front of the right people.* diff --git a/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx b/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx index f78e29e..274f70b 100755 --- a/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx +++ b/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx @@ -1,5 +1,5 @@ --- -title: "Is My Ad Worth Clicking? (CPC & CTR Deep Dive)" +title: "Is My Ad Worth Clicking? CPC and CTR" slug: "1.2-cpc-ctr" moduleNumber: 1 lessonNumber: 2 @@ -8,124 +8,134 @@ estimatedMinutes: 12 xpReward: 75 --- -# Is My Ad Worth Clicking? (CPC & CTR Deep Dive) +# Is My Ad Worth Clicking? CPC and CTR -Last lesson, you learned all six PPC metrics at a glance. Now let's get hands-on with the first two — **CPC** (Cost Per Click) and **CTR** (Click-Through Rate). These two metrics tell you whether your ads are showing up in front of the right people and whether those people care enough to click. +## What you can do after this lesson -> 🎯 **Analogy**: CPC is how much you pay for each person who walks through your door. CTR is what percentage of passersby actually walk in. You want the right mix — not too expensive, and enough people coming in to make the rent worth paying. +Explain what drives CPC (cost per click) and CTR (click-through rate) up or down, and use break-even CPC to judge whether a CPC is actually a problem. -## CPC: What's a Click Actually Worth? +## The decision in one sentence -You already know the formula: `CPC = Ad Spend ÷ Clicks`. But what makes CPC go up or down? And what can you do about it? +A CPC number by itself is neither good nor bad — compare it to your break-even CPC before you decide whether to act. -### What Drives CPC Up +## CPC: what's a click actually worth? -1. **High competition** — If 50 sellers are all bidding on "wireless earbuds," prices go up. Simple supply and demand. -2. **Broad keywords** — Vague terms like "earbuds" are more expensive because everyone wants them. Specific terms like "wireless earbuds for running" are cheaper. -3. **Top-of-search placement** — The first 1–4 spots at the top of page 1 cost significantly more than positions further down. -4. **Dynamic bidding** — If you use Amazon's "Dynamic Bids — Up and Down" strategy, Amazon may raise your actual CPC above your bid for high-conversion opportunities. +CPC, cost per click, is what you pay each time a shopper clicks your ad: `CPC = ad spend ÷ clicks`. -### What Drives CPC Down +### What drives CPC up -1. **High relevance** — When your ad closely matches the search term, Amazon rewards you with a lower CPC (called a lower "reserved price"). -2. **Strong listing** — A product with great photos, reviews, and relevance scores better in the auction, paying less per click. -3. **Long-tail keywords** — Specific phrases like "bamboo cutting board large kitchen" have fewer bidders, so CPC is lower. -4. **Off-peak timing** — Some categories have lower CPC on weekends or during slower seasons. +1. **High competition.** If many sellers bid on "wireless earbuds," the price to win that click rises. +2. **Broad keywords.** Vague terms like "earbuds" cost more because more advertisers want them. Specific terms like "wireless earbuds for running" cost less. +3. **Top-of-search placement.** The first few positions at the top of page one typically cost more than positions further down. +4. **Dynamic bidding.** If you use Amazon's "Dynamic bids — up and down" strategy, Amazon can raise your realized CPC above your set bid for opportunities it predicts will convert. -### Worked Example: Two Products, Two CPCs +### What drives CPC down -| | Bamboo Cutting Board | Wireless Earbuds | +1. **High relevance.** When your ad closely matches the search term, you tend to pay less for the same placement than a less relevant competitor would. +2. **A strong listing.** A product with clear photos, reviews, and price competitiveness performs better in the auction. +3. **Long-tail keywords.** Specific phrases like "bamboo cutting board large kitchen" have fewer bidders, so CPC tends to be lower. +4. **Off-peak timing.** Some categories see lower CPC on weekends or during slower seasons. + +### Worked example: two products, two CPCs + +| | Bamboo cutting board | Wireless earbuds | |---|---|---| | Keyword | "bamboo cutting board" | "wireless earbuds" | | Competition | Medium | Very high | | Typical CPC | $0.60–$1.20 | $1.50–$4.00 | | Average order value | $24.99 | $35.00 | -| CVR | 10% | 8% | +| CVR (conversion rate) | 10% | 8% | | Break-even CPC | $0.75 | $0.88 | -> ⚠️ **Watch out**: A "cheap" CPC isn't always good. If you're paying $0.10 per click but only 1% of clicks convert, your cost per order is $10. Compare that to a $2.00 CPC with 20% conversion — cost per order is also $10. Same result, completely different CPC. +A "cheap" CPC isn't automatically good. Paying $0.10 per click with a 1% conversion rate costs $10 per order. A $2.00 CPC with a 20% conversion rate also costs $10 per order. Same result, very different CPC. -> 💡 **Tip**: Always calculate your **break-even CPC** before judging whether your CPC is too high. Break-even CPC = Average Order Value × CVR × Target ACoS. This is the maximum you can afford to pay per click and still be profitable. +Always calculate your **break-even CPC** before judging whether a CPC is too high: `break-even CPC = average order value × CVR × target ACoS`. This is the most you can pay per click and still hit your target ACoS (advertising cost of sales). -## CTR: Are People Clicking? +## CTR: are people clicking? -CTR measures relevance. If your ad shows up for a search but nobody clicks, something is wrong — and it's costing you impressions without回报. +CTR, click-through rate, measures relevance: `CTR = clicks ÷ impressions`. If your ad shows up for a search but nobody clicks, something about the match or the listing isn't landing — and it's costing you impressions without a return. -### What Drives CTR Up +### What drives CTR up -1. **Relevant keywords** — The closer your keyword matches what the shopper is searching for, the higher your CTR. -2. **Compelling main image** — Your product photo is the first thing people see. A clean, professional image beats a cluttered one every time. -3. **Competitive price** — If your price shows in the search results and it's competitive, more people click. -4. **Good reviews** — A 4.5-star rating with 500 reviews gets more clicks than a 3.8-star with 12 reviews. -5. **Prime badge** — Prime-eligible products tend to get higher CTR because shoppers trust the fast shipping. +1. **Relevant keywords.** The closer your keyword matches what the shopper searched, the higher your CTR tends to be. +2. **A clear main image.** A clean, well-lit product photo beats a cluttered one. +3. **A competitive price.** A price that reads as fair next to nearby results earns more clicks. +4. **Strong reviews.** A 4.5-star rating with 500 reviews earns more clicks than a 3.8-star rating with 12 reviews. -### What Drives CTR Down +### What drives CTR down -1. **Irrelevant targeting** — Showing a cutting board ad for "wireless earbuds" — nobody will click. -2. **Weak main image** — Blurry, dark, or unprofessional photos get scrolled past. -3. **High price in search results** — If your product is $39.99 and competitors are $19.99, fewer people click. -4. **No reviews** — A brand-new listing with zero reviews struggles to earn clicks. -5. **Generic keyword targeting** — Broad terms like "kitchen" or "home" attract the wrong audience. +1. **Irrelevant targeting.** Showing a cutting-board ad for "wireless earbuds" searches wastes impressions. +2. **A weak main image.** Blurry or dark photos get scrolled past. +3. **A high price relative to competitors.** If your product is $39.99 next to $19.99 competitors, fewer people click. +4. **No reviews.** A brand-new listing with zero reviews struggles to earn clicks regardless of targeting. -### Worked Example: Improving CTR +### Worked example: improving CTR -You sell a **silicone baking mat** for $19.99. Your current data: +You sell a silicone baking mat for $19.99. | Metric | Current | Problem? | -|--------|---------|----------| +|---|---|---| | Impressions | 8,000/week | — | | Clicks | 40/week | Low | -| CTR | 0.5% | Too low for this category | +| CTR | 0.5% | Below what this category typically sees | -**Diagnostic**: You're showing up for 8,000 searches but only 40 people click. That's a 0.5% CTR — below the acceptable range for kitchen products. +**Investigate:** pull the search term report. You find "silicone baking mat" (relevant, 2.1% CTR), "baking supplies" (too broad, 0.2% CTR), and "kitchen accessories" (too broad, 0.1% CTR). -**What you investigate**: -1. Check your search term report — what searches are triggering your ads? -2. You find: "silicone baking mat" (relevant, CTR 2.1%), "baking supplies" (too broad, CTR 0.2%), "kitchen accessories" (too broad, CTR 0.1%) +**The fix:** the broad, low-relevance terms are dragging down the overall CTR. Move spend toward exact and phrase match on "silicone baking mat" and close variants, and add the broad, irrelevant terms as negatives. -**The fix**: Your broad match keywords ("baking supplies", "kitchen accessories") are dragging down your overall CTR. You pause those broad campaigns and focus on exact and phrase match for "silicone baking mat" and related terms. - -**After optimization** (2 weeks later): +**After two weeks:** | Metric | Before | After | Change | -|--------|--------|-------|--------| +|---|---|---|---| | Impressions | 8,000 | 3,200 | ↓ 60% (fewer irrelevant impressions) | | Clicks | 40 | 80 | ↑ 100% (more relevant clicks) | | CTR | 0.5% | 2.5% | ↑ 400% | -> 📌 **Key Takeaway**: Fewer but more relevant impressions + more clicks = better CTR. You don't want to be seen by everyone — you want to be seen by the right people. +Fewer but more relevant impressions, plus more clicks, means a better CTR. You don't want to be seen by everyone — you want to be seen by the shoppers who are actually looking for your product. -## Quick Self-Check +## The CPC-CTR relationship -1. Your product sells for $30, converts at 10%, and you target a 25% ACoS. What's your break-even CPC? -2. You spend $150 on ads and get 200 clicks. What's your CPC? Is it above or below your break-even? -3. Your ad gets 12,000 impressions and 180 clicks. What's your CTR? +Ad relevance signals connect CPC and CTR. Amazon doesn't publish a single inspectable "quality score" a VA can check, but the pattern is observable in your own reports: -> 💡 **Answers**: Break-even CPC = $30 × 0.10 × 0.25 = $0.75. Your actual CPC = $150 ÷ 200 = $0.75 (right at break-even — you're not making money on these clicks). CTR = 180 ÷ 12,000 × 100 = 1.5% (decent for most categories). +- **High CTR with relevant keywords** tends to come with a lower CPC for the same placement — the ad is reading as relevant. +- **Low CTR with loosely matched keywords** tends to come with a higher CPC for the same placement. -## The CPC-CTR Relationship +When you see high CPC and low CTR together, the most common root cause is keyword relevance — the targeting is too broad for the product. Fix targeting first. Raising the bid to compensate for poor relevance usually just buys more of the same low-quality clicks. -CPC and CTR are connected through relevance signals baked into the auction — Amazon doesn't publish a named score you can check, but the pattern is consistent enough to teach. +## Fact card -Here's the simplified version: +```text +Product or feature: Amazon's ad-relevance signal in the Sponsored Products auction +What the learner can do: use CTR, CVR, and search-term relevance as observable proxies for how the auction is treating an ad +Who can access it: any Sponsored Products advertiser, through standard performance reports +Retailer or marketplace scope: Amazon Advertising, Sponsored Products (US marketplace examples used in this lesson) +Official source URL: https://advertising.amazon.com/help/GCU2BUWJH2W3A8Z7 +Last verified: pending content-owner review +Next review due: pending content-owner review +Owner: Ryan Roland Dabao +``` -- **High CTR + relevant keywords** = Amazon sees your ad as relevant → charges you less per click (lower CPC) -- **Low CTR + irrelevant keywords** = Amazon sees your ad as irrelevant → charges you more per click (higher CPC) +Amazon does not publish a single named "Quality Score" that a VA can look up. Treat "relevance signals" as teaching shorthand for the observable inputs above, not a metric you'll find in the console. -This creates a virtuous cycle: better targeting → higher CTR → lower CPC → more clicks per dollar → better data → even better targeting. +## Quick check -And a vicious cycle: poor targeting → lower CTR → higher CPC → fewer clicks per dollar → less data → even worse targeting. +1. Your product sells for $30, converts at 10%, and you target a 25% ACoS. What's your break-even CPC? +2. You spend $150 on ads and get 200 clicks. What's your CPC? Is it above or below your break-even from question 1? +3. Your ad gets 12,000 impressions and 180 clicks. What's your CTR? +4. You see high CPC and low CTR on the same keyword. What do you check first — the bid, or the targeting? -> 💡 **Tip**: When you see high CPC and low CTR together, the root cause is almost always **keyword relevance**. Fix your targeting first — don't just raise your bid to compensate for poor relevance. +**Answers:** (1) Break-even CPC = $30 × 0.10 × 0.25 = $0.75. (2) Actual CPC = $150 ÷ 200 = $0.75 — right at break-even, so these clicks aren't currently profitable. (3) CTR = 180 ÷ 12,000 = 1.5%. (4) Targeting first — high CPC with low CTR usually signals a relevance problem, and raising the bid without fixing that just pays more for the same weak match. -## Key Takeaways +## Client language -- CPC is driven by competition, keyword specificity, placement, and listing quality -- CTR is driven by relevance, image quality, price competitiveness, and reviews -- Always calculate your break-even CPC before judging whether your CPC is too high -- Low CTR + high CPC usually means your keywords are too broad — narrow your targeting -- Better targeting creates a virtuous cycle: higher CTR → lower CPC → more efficient spend +Use this when a client asks why a keyword's CPC looks high: ---- +> "This keyword's CPC is high relative to its click-through rate, which usually means the targeting is broader than the product. I'm tightening the match type and adding negatives before considering a bid change." + +## Key takeaways -*Next up: the metrics that matter most to your wallet — ACoS, TACoS, and profitability. These are the numbers your client cares about.* +- CPC is driven by competition, keyword specificity, placement, and relevance. +- CTR is driven by keyword relevance, image quality, price, and reviews. +- Always calculate break-even CPC before judging whether a CPC is too high. +- High CPC with low CTR usually means the keyword is too broad — fix targeting before raising bids. +- Amazon doesn't expose a single "quality score" — read CTR, CVR, and relevance as the observable signals instead. diff --git a/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx b/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx index 653cee2..e2f83be 100755 --- a/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx +++ b/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx @@ -1,5 +1,5 @@ --- -title: "Am I Making Money or Losing Money? (ACoS, TACoS & Profitability)" +title: "Am I Making Money or Losing Money? ACoS, TACoS, and Profitability" slug: "1.3-acos-tacos-profitability" moduleNumber: 1 lessonNumber: 3 @@ -8,140 +8,129 @@ estimatedMinutes: 15 xpReward: 100 --- -# Am I Making Money or Losing Money? (ACoS, TACoS & Profitability) +# Am I Making Money or Losing Money? ACoS, TACoS, and Profitability -This is the lesson that changes everything. ACoS is the number one metric in Amazon PPC. It's the difference between a campaign that grows a business and one that silently drains it. +## What you can do after this lesson -If you remember nothing else from this course, remember this: **Your ACoS must be below your profit margin.** Everything else is noise. +Calculate break-even ACoS (advertising cost of sales) for a product, read TACoS (total advertising cost of sales) alongside it, and explain why a launch campaign's high ACoS isn't automatically a problem. -> 🎯 **Analogy**: ACoS is like the percentage of your paycheck that goes to rent. If rent takes 30% of your income and your other expenses take 40%, you have 30% left. If rent takes 50%, you're in trouble. ACoS is your "ad rent" — and it needs to leave room for everything else. +## The decision in one sentence -## ACoS: The Scorecard +Your ACoS must stay below your profit margin for a campaign to make money — everything else is context for how urgently to act. -**Formula**: `ACoS = Ad Spend ÷ Ad Sales × 100` +## ACoS: the scorecard -Let's work through this with a **real scenario**: +**Formula:** `ACoS = ad spend ÷ ad sales × 100` -You manage ads for a seller with a **premium yoga mat** priced at $49.99. +Work through this with a real scenario. You manage ads for a seller with a premium yoga mat priced at $49.99. **Product costs:** - Manufacturing: $12.00 -- Shipping to Amazon warehouse: $3.00 +- Shipping to Amazon's warehouse: $3.00 - Amazon referral fee (15%): $7.50 - Amazon FBA fee: $4.50 -- **Total cost to sell: $27.00** -- **Profit margin before ads: $22.99 (46%)** +- Total cost to sell: $27.00 +- Profit margin before ads: $22.99 (46%) -This means your **break-even ACoS is ~46%**. Any ACoS above 46% and you're losing money on every ad-driven sale. +This means the break-even ACoS is about 46%. Any ACoS above that and the seller loses money on every ad-driven sale. **Week 1 ad data:** - Ad spend: $300 - Ad sales: $600 - ACoS: $300 ÷ $600 × 100 = **50%** -> ⚠️ **Watch out**: 50% ACoS sounds close to 46% break-even — but it's ABOVE it. You're losing $0.04 on every dollar of ad sales. Over $600 in ad sales, that's $24 lost. Doesn't sound like much? Scale it up: $6,000 in monthly ad sales at 50% ACoS = $240/month lost. Over a year, that's $2,880 in pure losses from a "close enough" ACoS. +A 50% ACoS is close to the 46% break-even, but it's above it. That's a loss of $0.04 on every dollar of ad sales — $24 lost on $600 in ad sales this week. Scaled to $6,000 in monthly ad sales at the same 50% ACoS, that's $240 a month, or roughly $2,880 a year, from an ACoS that looks "close enough." -**Week 3 after optimization (added negative keywords, tightened targeting):** +**Week 3, after adding negative keywords and tightening targeting:** - Ad spend: $250 - Ad sales: $550 - ACoS: $250 ÷ $550 × 100 = **45%** -Now you're below break-even. Every ad-driven sale is profitable. The difference between 50% and 45% ACoS is the difference between losing and making money. +Now the campaign is below break-even. Every ad-driven sale is profitable. The gap between 50% and 45% ACoS is the gap between losing and making money on this product. -## TACoS: The Big Picture +## TACoS: the big picture -ACoS tells you if your ads are efficient. TACoS tells you if your **business** is healthy. +ACoS tells you whether your ads are efficient. TACoS tells you whether the business is healthy. -**Formula**: `TACoS = Ad Spend ÷ Total Sales × 100` +**Formula:** `TACoS = ad spend ÷ total sales × 100` -Total sales = ad sales + organic sales (sales that happen without ads). +Total sales means ad sales plus organic sales — sales that happen without ads. -> 🎯 **Analogy**: If ACoS is looking at one employee's performance, TACoS is looking at the whole company. You can have a star salesperson (low ACoS) while the rest of the business is struggling (high TACoS). You need both to be healthy. +**Example.** The yoga mat seller's monthly numbers: ad sales $2,500, organic sales $5,000, total sales $7,500, ad spend $1,000. -**Example**: Your yoga mat seller's monthly numbers: -- Ad sales: $2,500 -- Organic sales: $5,000 -- Total sales: $7,500 -- Ad spend: $1,000 +- ACoS: $1,000 ÷ $2,500 × 100 = **40%** — below the 46% break-even. +- TACoS: $1,000 ÷ $7,500 × 100 = **13.3%** — a healthy range. -**ACoS**: $1,000 ÷ $2,500 × 100 = **40%** ✅ (below 46% break-even) -**TACoS**: $1,000 ÷ $7,500 × 100 = **13.3%** ✅ (healthy range) +The ads are profitable, and the business isn't over-dependent on them. -The ads are profitable AND the business isn't over-dependent on them. Good sign. +**Now imagine organic sales drop to $2,500,** with ad spend and ACoS unchanged: +- TACoS: $1,000 ÷ $5,000 × 100 = **20%**. -**Now imagine organic sales drop to $2,500:** -- TACoS: $1,000 ÷ $5,000 × 100 = **20%** 😬 +Same ad spend, same ACoS, but TACoS jumped because organic sales shrank. The business is becoming more dependent on ads — a signal worth flagging even though ACoS alone looks fine. -Same ad spend, same ACoS, but TACoS jumped because organic sales shrank. The business is becoming more dependent on ads — a warning sign. +Check TACoS alongside ACoS. A low ACoS with a rising TACoS means organic sales are declining, regardless of how efficient the ads look. -> 📌 **Key Takeaway**: Always check TACoS alongside ACoS. A low ACoS with a rising TACoS means your organic sales are declining. That's a red flag no matter how efficient your ads look. +## The profitability equation -## The Profitability Equation +**Profit per ad sale = (product price × margin) − (product price × ACoS)** -Here's the full picture of whether your PPC is profitable: +For the yoga mat: +- At 40% ACoS: $49.99 × 0.46 − $49.99 × 0.40 = $22.99 − $20.00 = **$2.99 profit per sale**. +- At 50% ACoS: $49.99 × 0.46 − $49.99 × 0.50 = $22.99 − $25.00 = **−$2.01 per sale**. -**Profit per ad sale = (Product Price × Margin) − (Product Price × ACoS)** +The swing from 40% to 50% ACoS is the swing from making $2.99 to losing $2.01 on every ad sale — a $5.00 swing per order, or $500 over 100 orders. -For our yoga mat: -- At 40% ACoS: Profit = $49.99 × 0.46 − $49.99 × 0.40 = $22.99 − $20.00 = **$2.99 per sale** ✅ -- At 50% ACoS: Profit = $49.99 × 0.46 − $49.99 × 0.50 = $22.99 − $25.00 = **−$2.01 per sale** ❌ +## When ACoS is misleading -The swing from 40% to 50% ACoS is the swing from making $2.99 to losing $2.01 on every ad sale. That's a $5.00 swing per order. Over 100 orders, it's a $500 difference. +ACoS can mislead in a few situations: -## When ACoS Is Misleading +**Low ACoS, low volume.** A 15% ACoS looks great, but if it's only producing 3 orders a week, the account is efficient and barely selling anything. The goal isn't efficiency alone — it's profitable volume. -ACoS can fool you in a few situations: +**High ACoS during launch.** New products often run 60–80% ACoS in the first month while the campaign builds data and reviews. That isn't failure — it's a planned investment. Judge launch campaigns on trajectory, not the day-one number. -**Situation 1: Low ACoS, low volume** -You have a 15% ACoS — amazing! But you're only getting 3 orders per week from ads. Your ACoS is great, but you're barely selling anything. The goal isn't just efficiency — it's profitable volume. +**Returns.** If 20% of orders come back, the real ACoS is worse than the reported number. Factor expected returns into any profitability calculation for a category with high return rates. -**Situation 2: High ACoS during launch** -New products often have 60–80% ACoS in the first month. This is normal! You're building data, getting reviews, and training Amazon's algorithm. A high launch ACoS isn't failure — it's investment. Judge launch campaigns on trajectory, not day-one numbers. +When a client is worried about high ACoS during a launch, the useful question isn't "is ACoS high" — it's "is ACoS trending down week over week." If yes, the campaign is on track. -**Situation 3: ACoS looks good, but product returns are high** -If 20% of orders result in returns, your actual ACoS is much worse than it looks. Always factor returns into profitability calculations. +## Worked example: full week analysis -> 💡 **Tip**: When a client panics about high ACoS during a product launch, explain that the first month is data-gathering. The real question is: "Is ACoS trending down week over week?" If yes, you're on track. +**Product:** insulated water bottle, $29.99, 35% margin. -## Worked Example: Full Week Analysis - -**Product**: Insulated water bottle, $29.99, 35% margin - -**This week's data:** -| Metric | Value | Good? | -|--------|-------|-------| +| Metric | Value | Read | +|---|---|---| | Ad spend | $210 | — | | Ad sales | $540 | — | | Total sales | $810 | — | -| CPC | $0.90 | Depends on CVR | -| CTR | 1.8% | Good for kitchen | -| CVR | 12% | Strong | -| ACoS | 38.9% | Above 35% margin 😬 | -| TACoS | 25.9% | Borderline high | -| ROAS | 2.57x | Below 3.0x target | +| CPC | $0.90 | depends on CVR | +| CTR | 1.8% | good for this category | +| CVR | 12% | strong | +| ACoS | 38.9% | above the 35% margin | +| TACoS | 25.9% | borderline high | +| ROAS | 2.57x | below the 3.0x target | -**The diagnosis**: ACoS is above the 35% break-even margin. You're losing money on every ad sale. But CTR and CVR are both healthy — the ad is relevant and the listing converts well. The problem is likely **CPC** — you're paying too much per click. +**Diagnosis:** ACoS is above the 35% break-even margin, so the campaign is losing money on every ad sale. CTR and CVR are both healthy, so the ad is relevant and the listing converts. The likely lever is CPC — the campaign is paying too much per click. -**The fix**: Lower bids on your highest-CPC keywords by 15–20%. Focus on exact match keywords where you know the conversion rate is strong. Add negative keywords for any irrelevant terms still eating budget. +**Action:** lower bids on the highest-CPC keywords by 15–20%, concentrate spend on exact-match keywords with a known strong conversion rate, and add negative keywords for irrelevant terms still consuming budget. -**Quick math**: If you lower average CPC from $0.90 to $0.75 while keeping clicks at 233, your spend drops from $210 to $175. With the same $540 in ad sales, ACoS drops to 32.4% — now profitable. +**Expected result:** lowering average CPC from $0.90 to $0.75 while holding clicks at 233 drops spend from $210 to $175. With ad sales unchanged at $540, ACoS falls to 32.4% — now profitable. -## Quick Self-Check +## Quick check -1. Your product sells for $40, costs $18 to make and sell (before ads). What's your profit margin and break-even ACoS? -2. You spend $500 on ads, generate $1,200 in ad sales. What's your ACoS? Are you profitable at a 45% margin? -3. Your ad spend is $800, total sales are $4,000. What's your TACoS? +1. Your product sells for $40 and costs $18 to make and sell, before ads. What's the profit margin and break-even ACoS? +2. You spend $500 on ads and generate $1,200 in ad sales. What's the ACoS? Is it profitable at a 45% margin? +3. Ad spend is $800, total sales are $4,000. What's the TACoS? -> 💡 **Answers**: Margin = ($40−$18) ÷ $40 = 55%. Break-even ACoS = 55%. ACoS = $500 ÷ $1,200 × 100 = 41.7% — yes, profitable (41.7% < 55%). TACoS = $800 ÷ $4,000 × 100 = 20%. +**Answers:** (1) Margin = ($40 − $18) ÷ $40 = 55%. Break-even ACoS = 55%. (2) ACoS = $500 ÷ $1,200 × 100 = 41.7% — profitable, since 41.7% is below the 45% margin. (3) TACoS = $800 ÷ $4,000 × 100 = 20%. -## Key Takeaways +## Client language -- ACoS is the #1 PPC metric — it tells you if your ads are profitable -- Your ACoS must be below your profit margin for ads to make money -- TACoS shows your business health — a rising TACoS means growing ad dependency -- Always factor in product costs, fees, and returns when calculating true ACoS -- During product launches, expect high ACoS — focus on the trend, not the day-one number +Use this when ACoS looks bad during a launch: ---- +> "This campaign's ACoS is above target this week, which is expected during a launch while we build search-term data. The number to watch is the week-over-week trend, not any single day. I'll flag it if it's not trending down by the next review." + +## Key takeaways -*Next up: ROAS — the flip side of ACoS. It's the same coin, just viewed from the revenue side instead of the cost side.* +- ACoS is the metric that answers "are these ads profitable" — it must stay below the product's profit margin. +- TACoS shows business health — a rising TACoS means growing ad dependency, even when ACoS looks fine. +- Factor product costs, fees, and returns into the true break-even ACoS, not just the sticker price. +- Expect high ACoS during a launch — judge it on trend, not the day-one number. diff --git a/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx b/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx index c560b4d..449be38 100755 --- a/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx +++ b/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx @@ -1,5 +1,5 @@ --- -title: "Every Dollar In, How Many Dollars Back? (ROAS)" +title: "Every Dollar In, How Many Dollars Back? ROAS" slug: "1.4-roas-measuring-return" moduleNumber: 1 lessonNumber: 4 @@ -8,123 +8,94 @@ estimatedMinutes: 12 xpReward: 75 --- -# Every Dollar In, How Many Dollars Back? (ROAS) +# Every Dollar In, How Many Dollars Back? ROAS -You already know ACoS — the percentage of ad revenue eaten by ad costs. ROAS is the same idea, just flipped. Instead of asking "what percent of my revenue went to ads?", ROAS asks "for every dollar I spend on ads, how many dollars come back?" +## What you can do after this lesson -> 🎯 **Analogy**: If ACoS is like checking your bank statement to see what percentage of your income went to bills, ROAS is like checking your investment account to see how much your money grew. Same data, different perspective — one is about costs, the other is about returns. +Calculate ROAS (return on ad spend), convert between ROAS and ACoS (advertising cost of sales), and know when each framing is the useful one. -## The Simple Math +## The decision in one sentence -**Formula**: `ROAS = Ad Sales ÷ Ad Spend` +Use ACoS when you're optimizing a campaign yourself; use ROAS when you're explaining the same result to someone who thinks in returns, not costs. -| Ad Spend | Ad Sales | ROAS | Translation | -|----------|----------|------|-------------| -| $100 | $200 | 2.0x | Every $1 spent earned $2 | -| $100 | $300 | 3.0x | Every $1 spent earned $3 | -| $100 | $400 | 4.0x | Every $1 spent earned $4 | -| $100 | $500 | 5.0x | Every $1 spent earned $5 | +You already know ACoS — the percentage of ad revenue that went to ad costs. ROAS is the same relationship, flipped: instead of "what percent of my revenue went to ads," ROAS asks "for every dollar I spend on ads, how many dollars come back." -Higher ROAS = more revenue per ad dollar = better. +## The simple math -## ROAS vs ACoS: Same Coin, Two Sides +**Formula:** `ROAS = ad sales ÷ ad spend` -The relationship is mathematically simple: +| Ad spend | Ad sales | ROAS | Reads as | +|---|---|---|---| +| $100 | $200 | 2.0x | every $1 spent earned $2 | +| $100 | $300 | 3.0x | every $1 spent earned $3 | +| $100 | $400 | 4.0x | every $1 spent earned $4 | +| $100 | $500 | 5.0x | every $1 spent earned $5 | -- **ROAS = 1 ÷ ACoS** -- **ACoS = 1 ÷ ROAS** +Higher ROAS means more revenue per ad dollar. -| ACoS | ROAS | Profitable? (assuming 35% margin) | -|------|------|-----------------------------------| -| 20% | 5.0x | ✅ Yes — very profitable | -| 25% | 4.0x | ✅ Yes — healthy | -| 33% | 3.0x | ✅ Yes — still profitable | -| 40% | 2.5x | ❌ No — above 35% margin | -| 50% | 2.0x | ❌ No — losing money | +## ROAS vs ACoS: same relationship, two views -So which one should you use? +`ROAS = 1 ÷ ACoS` and `ACoS = 1 ÷ ROAS`. -**Use ACoS when** you're optimizing campaigns day-to-day. "Lower ACoS" is intuitive — you want to spend less per dollar of revenue. +| ACoS | ROAS | Profitable at a 35% margin? | +|---|---|---| +| 20% | 5.0x | Yes — very profitable | +| 25% | 4.0x | Yes — healthy | +| 33% | 3.0x | Yes — still profitable | +| 40% | 2.5x | No — above the 35% margin | +| 50% | 2.0x | No — losing money | -**Use ROAS when** you're talking to business owners or stakeholders. "For every dollar I invest in ads, I bring back $3.50" is a compelling pitch that makes sense to non-PPC people. +**Use ACoS** when you're optimizing campaigns day to day — "lower ACoS" is a direct, actionable target. -> 💡 **Tip**: Some clients and business owners find ROAS more intuitive than ACoS. If you're presenting results to someone who doesn't know PPC, lead with ROAS — the "return" framing feels more natural. +**Use ROAS** when you're talking to a client or business owner who isn't fluent in PPC. "For every dollar you put into ads, you get $3.50 back" reads as a return, which is usually the frame a business owner already thinks in. -## When to Target a Specific ROAS +## When to target a specific ROAS -Just like ACoS has a break-even point, ROAS has a minimum threshold: +Just like ACoS has a break-even point, ROAS has a minimum threshold: `minimum ROAS = 1 ÷ profit margin`. -**Minimum ROAS = 1 ÷ Profit Margin** +For a product with a 35% margin: minimum ROAS = 1 ÷ 0.35 = **2.86x**. Anything below that loses money on ads. -For a product with a 35% margin: -- Minimum ROAS = 1 ÷ 0.35 = **2.86x** -- Anything below 2.86x means you're losing money on ads +For a product with a 50% margin: minimum ROAS = 1 ÷ 0.50 = **2.0x**. There's more room here — even 2.5x is profitable. -For a product with a 50% margin: -- Minimum ROAS = 1 ÷ 0.50 = **2.0x** -- You have more room — even a 2.5x ROAS is profitable +Target ROAS (the number you aim for) should sit above the minimum, to leave a safety cushion: -**Target ROAS** (the ROAS you aim for) should be higher than the minimum to give yourself a safety cushion: - -| Margin | Minimum ROAS | Target ROAS (with cushion) | -|--------|-------------|---------------------------| +| Margin | Minimum ROAS | Target ROAS with cushion | +|---|---|---| | 30% | 3.33x | 4.0x+ | | 35% | 2.86x | 3.5x+ | | 40% | 2.50x | 3.0x+ | | 50% | 2.00x | 2.5x+ | -## Worked Example: Two Campaigns Compared - -You're comparing two campaigns for the same product ($34.99 yoga block, 40% margin): - -**Campaign A:** -| Metric | Value | -|--------|-------| -| Ad spend | $400 | -| Clicks | 350 | -| Orders | 45 | -| Ad sales | $1,574.55 | -| CPC | $1.14 | -| CVR | 12.9% | -| ACoS | 25.4% | -| ROAS | 3.94x | +## Worked example: two campaigns compared -**Campaign B:** -| Metric | Value | -|--------|-------| -| Ad spend | $200 | -| Clicks | 180 | -| Orders | 20 | -| Ad sales | $699.80 | -| CPC | $1.11 | -| CVR | 11.1% | -| ACoS | 28.6% | -| ROAS | 3.50x | +Same product, a $34.99 yoga block with a 40% margin. -**Which is better?** +**Campaign A:** $400 spend, 350 clicks, 45 orders, $1,574.55 ad sales, $1.14 CPC, 12.9% CVR, 25.4% ACoS, 3.94x ROAS. -Campaign A has both lower ACoS (25.4% vs 28.6%) and higher ROAS (3.94x vs 3.50x). But Campaign B is more efficient per click (slightly lower CPC). +**Campaign B:** $200 spend, 180 clicks, 20 orders, $699.80 ad sales, $1.11 CPC, 11.1% CVR, 28.6% ACoS, 3.50x ROAS. -However, Campaign A generates **more than double the revenue** ($1,574 vs $699) while remaining profitable. More volume at a good ROAS beats less volume at a slightly better ROAS. +Campaign A has both the lower ACoS (25.4% vs 28.6%) and the higher ROAS (3.94x vs 3.50x), while Campaign B is slightly more efficient per click on CPC. But Campaign A generates more than double the revenue ($1,574 vs $699) while staying profitable. -> 📌 **Key Takeaway**: Don't just chase the highest ROAS. A 5.0x ROAS on $50 in sales ($250 revenue) is less valuable than a 3.5x ROAS on $1,000 in sales ($3,500 revenue). Profitable volume beats perfect efficiency. +Don't optimize for the highest ROAS in isolation. A 5.0x ROAS on $50 in sales ($250 revenue) is worth less than a 3.5x ROAS on $1,000 in sales ($3,500 revenue). Profitable volume beats marginally better efficiency at a fraction of the scale. -## Quick Self-Check +## Quick check 1. You spend $300 and generate $900 in ad sales. What's your ROAS? -2. Your product margin is 42%. What's your minimum acceptable ROAS? -3. If your ROAS drops from 4.0x to 2.5x, what happened to your ACoS? +2. Your product's margin is 42%. What's the minimum acceptable ROAS? +3. If ROAS drops from 4.0x to 2.5x, what happened to ACoS? -> 💡 **Answers**: ROAS = 3.0x. Minimum ROAS = 1 ÷ 0.42 = 2.38x (so 3.0x is profitable). ACoS went from 25% (1÷4.0) to 40% (1÷2.5) — a significant increase that could push you above your margin. +**Answers:** (1) ROAS = $900 ÷ $300 = 3.0x. (2) Minimum ROAS = 1 ÷ 0.42 = 2.38x, so 3.0x from question 1 would be profitable on this product. (3) ACoS went from 25% (1 ÷ 4.0) to 40% (1 ÷ 2.5) — a meaningful jump that could push the campaign above margin depending on the product. -## Key Takeaways +## Client language -- ROAS = Ad Sales ÷ Ad Spend — the revenue return per ad dollar -- ROAS and ACoS are mathematical inverses — same data, different framing -- Use ROAS when talking to stakeholders; use ACoS when optimizing campaigns -- Always calculate your minimum ROAS (1 ÷ margin) and target higher -- Don't optimize for the highest ROAS — optimize for the most profitable revenue +Use this when reporting results to a business owner rather than a PPC colleague: ---- +> "For every dollar you put into this campaign, you're getting back $3.50 in ad-attributed sales. That's a 3.5x return, and it's above the 2.9x we need to stay profitable on this product's margin." + +## Key takeaways -*Next up: Metrics in Practice — we'll work through real scenarios where multiple metrics interact, and you'll learn the diagnostic frameworks that PPC managers use every day.* +- ROAS = ad sales ÷ ad spend — the revenue return per ad dollar. +- ROAS and ACoS are mathematical inverses — the same underlying data, framed differently. +- Use ROAS with stakeholders, ACoS when optimizing campaigns yourself. +- Calculate the minimum ROAS (1 ÷ margin) and target above it, not just above zero. +- Optimize for profitable revenue, not the single highest ROAS number. diff --git a/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx b/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx index e8b429e..07ce458 100755 --- a/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx +++ b/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx @@ -10,118 +10,84 @@ xpReward: 100 # Reading the Story Your Metrics Tell -You now know all six PPC metrics individually. But in the real world, you never look at just one number. You read them **together** — like a doctor reads blood pressure, heart rate, and temperature as a group. Each combination of metrics tells a different story. +## What you can do after this lesson -> 🎯 **Analogy**: Reading PPC metrics is like looking at a patient's vital signs. High heart rate alone might mean exercise — or it might mean fever. You need all the numbers together to diagnose what's actually happening. +Read the Big Six metrics together as a pattern, not one at a time, and apply the maximum-CPC formula to set a defensible bid ceiling. -## Pattern 1: High CTR, Low CVR, High ACoS +## The decision in one sentence -**The symptoms**: Lots of people click your ad, but almost nobody buys. Your ACoS is terrible. +Identify which metric is actually out of line before you touch anything — CTR, CVR, ACoS, and TACoS each point to a different fix. -**What it means**: Your ad is attracting clicks (good targeting), but something on your product page is stopping people from buying. +You now know all six PPC metrics individually. In the real account, you never look at just one number. You read them together, the same way a nurse reads blood pressure, heart rate, and temperature as a set. Each combination tells a different story. -**The diagnosis**: This is a **listing problem**, not an ad problem. The traffic is relevant — your keywords are working. But your product page (photos, price, reviews, description) isn't converting. +## Pattern 1: high CTR, low CVR, high ACoS -**What to do**: -1. Check your main image — is it professional and clear? -2. Review your price — are you competitive? -3. Read your reviews — are there recurring complaints? -4. Compare your listing to competitors shown alongside your ad +**The symptoms:** lots of clicks, almost no purchases, and a bad ACoS (advertising cost of sales). -**What NOT to do**: Don't lower your bids or pause keywords. The targeting is fine — the listing is the problem. +**The diagnosis:** this is a listing problem, not a targeting problem. The traffic is relevant — the keywords are working, CTR (click-through rate) proves that. Something on the product page is stopping people from buying: photos, price, reviews, or description. -> 💡 **Tip**: A quick way to diagnose this is to search your main keyword on Amazon and compare your listing to the top 3 competitors. If their photos look better, their reviews are stronger, or their price is lower — that's your answer. +**What to do:** check the main image for clarity, review price competitiveness, read reviews for recurring complaints, and compare the listing against the top three competitors shown alongside the ad. -## Pattern 2: Low CTR, Good CVR, Low ACoS +**What not to do:** don't lower bids or pause keywords first. The targeting is fine — the listing is the problem. -**The symptoms**: Not many people click your ad, but those who do buy at a good rate. Your ACoS looks healthy — but you're barely selling anything. +## Pattern 2: low CTR, good CVR, low ACoS -**What it means**: Your product page converts well for the people who find it. But your ad isn't showing up enough, or it's not standing out. +**The symptoms:** few clicks, but the ones you get convert well, and ACoS looks healthy. You're barely selling anything. -**What to do**: -1. Check your impression volume — are you even getting shown? -2. If impressions are low, increase bids to win more auctions -3. If impressions are high but CTR is low, check keyword relevance -4. Add more keyword variations to expand reach +**The diagnosis:** the product page converts well for the shoppers who find it, but the ad isn't showing up enough, or isn't standing out when it does. -**What NOT to do**: Don't assume your ads are "fine" just because ACoS looks good. Low ACoS with low volume means you're leaving money on the table. +**What to do:** check impression volume first. If impressions are low, the campaign may need a higher bid or wider targeting coverage to win more auctions. If impressions are high but CTR is still low, check keyword relevance instead. -## Pattern 3: High CPC, Low CVR, Critical ACoS +**What not to do:** don't assume the ads are "fine" just because ACoS looks good. A low ACoS at low volume means money is being left on the table. -**The symptoms**: You're paying a lot per click, and those clicks almost never convert. Your ACoS is way above your margin. +## Pattern 3: high CPC, low CVR, critical ACoS -**The diagnosis**: This is a **keyword quality problem**. You're bidding on keywords that are too expensive and too broad for your product. +**The symptoms:** paying a lot per click, and those clicks rarely convert. ACoS is well above margin. -**What to do**: -1. Check your search term report — what actual searches are triggering your ads? -2. Add negative keywords to eliminate irrelevant searches -3. Move from broad to phrase or exact match for best terms -4. Lower bids on expensive keywords that don't convert -5. If a keyword consistently fails after 30+ clicks, pause it +**The diagnosis:** a keyword-quality problem — bidding on keywords that are too expensive and too broad for this product. -> ⚠️ **Watch out**: This is the most dangerous pattern because it actively loses money every day you don't fix it. Treat it as urgent. +**What to do:** pull the search-term report to see what's actually triggering the ad, add negative keywords for irrelevant searches, move from broad to phrase or exact match on the terms that do convert, and lower bids on expensive keywords that don't. If a keyword consistently fails to convert after 30 or more clicks, pause it. -## Pattern 4: Good CTR, Good CVR, Rising TACoS +This is the most urgent pattern — it loses money every day it goes unfixed. -**The symptoms**: Your ads look great — CTR is solid, CVR is healthy, ACoS is fine. But TACoS keeps creeping up. +## Pattern 4: good CTR, good CVR, rising TACoS -**The diagnosis**: Your organic sales are shrinking. The ads are efficient, but the business is becoming more dependent on paid traffic. +**The symptoms:** the ads look healthy on every ad-level metric, but TACoS (total advertising cost of sales) keeps climbing. -**What to do**: -1. Check organic keyword rankings — are you still showing up naturally? -2. Invest in review generation — more reviews boost organic ranking -3. Optimize your listing for organic search (title, bullets, backend keywords) -4. Consider temporarily increasing ad spend while you fix organic issues +**The diagnosis:** organic sales are shrinking. The ads are efficient, but the business is becoming more dependent on paid traffic to sell at all. -**What NOT to do**: Don't ignore this because ACoS looks healthy. A rising TACoS is a slow leak that eventually sinks the ship. +**What to do:** check organic keyword rankings, invest in review generation, and optimize the listing's title, bullets, and backend keywords for organic search. Consider a temporary ad-spend increase while the organic fix takes hold. -## The Diagnostic Framework +**What not to do:** don't ignore a rising TACoS just because ACoS looks fine. It's a slow leak, not a false alarm. -When you see a metric pattern, follow these steps: +## The diagnostic framework -### Step 1: Identify the Bottleneck +1. **Identify the bottleneck.** CTR out of line points to a targeting or relevance problem. CVR out of line points to a listing problem. ACoS out of line points to an efficiency problem. TACoS out of line points to an organic-dependency problem. +2. **Find the root cause.** Use the search-term report, placement data, and competitive comparison to understand why the bottleneck exists — don't just treat the symptom. +3. **Take one action at a time.** Resist changing everything at once. Make one adjustment, wait 3–7 days for data, then evaluate. +4. **Measure the impact.** Compare before-and-after metrics. Did the bottleneck metric improve without degrading the others? -Which metric is most out of line? -- CTR is the bottleneck → Targeting or relevance problem -- CVR is the bottleneck → Listing or conversion problem -- ACoS is the bottleneck → Efficiency problem -- TACoS is the bottleneck → Organic dependency problem +## Scenario walkthrough: kitchen scale -### Step 2: Find the Root Cause +Product: a kitchen scale, $24.99, 30% margin, so a 30% break-even ACoS. -Use your search term report, placement data, and competitive analysis to understand **why** the bottleneck exists. Don't just treat the symptom. +**Week 1, launch:** -### Step 3: Take One Action at a Time +| Metric | Value | Read | +|---|---|---| +| CPC | $1.20 | typical for this category | +| CTR | 1.2% | below average | +| CVR | 8% | decent | +| ACoS | 50% | above the 30% margin | +| TACoS | 40% | no organic sales yet | +| ROAS | 2.0x | below the 3.3x break-even | -Resist the urge to change everything at once. Make one adjustment, wait 3–7 days for data, then evaluate. +Week 1 of a launch isn't expected to be profitable yet. The question isn't "is this profitable" — it's "is this trending the right direction." -### Step 4: Measure the Impact - -Compare before and after metrics. Did your change improve the bottleneck metric without degrading others? - -## Scenario Walkthrough: Kitchen Scale - -You manage ads for a kitchen scale ($24.99, 30% margin, break-even ACoS = 30%). - -### Week 1: Launch - -| Metric | Value | Assessment | -|--------|-------|------------| -| CPC | $1.20 | Typical for kitchen | -| CTR | 1.2% | Below average | -| CVR | 8% | Decent | -| ACoS | 50% | Above 30% margin ❌ | -| TACoS | 40% | No organic sales yet | -| ROAS | 2.0x | Below 3.3x break-even | - -> 🎯 **Analogy**: Week 1 is like opening day at a new restaurant. Of course you're not profitable yet — you're still figuring out the menu. The key question isn't "am I profitable?" but "am I trending in the right direction?" - -### Week 3: After Optimization - -After adding negative keywords and tightening match types: +**Week 3, after adding negative keywords and tightening match types:** | Metric | Value | Change | -|--------|-------|--------| +|---|---|---| | CPC | $0.95 | ↓ 21% | | CTR | 2.8% | ↑ 133% | | CVR | 10% | ↑ 25% | @@ -129,12 +95,12 @@ After adding negative keywords and tightening match types: | TACoS | 25% | ↓ 38% | | ROAS | 3.1x | ↑ 55% | -Big improvements across the board. CTR more than doubled — better targeting means more relevant clicks. ACoS dropped from 50% to 32%, nearly at break-even. +CTR more than doubled from tighter targeting. ACoS dropped from 50% to 32%, nearly at break-even. -### Week 6: Profitable +**Week 6, profitable:** | Metric | Value | Change | -|--------|-------|--------| +|---|---|---| | CPC | $0.85 | ↓ 11% | | CTR | 3.5% | ↑ 25% | | CVR | 11% | ↑ 10% | @@ -142,41 +108,35 @@ Big improvements across the board. CTR more than doubled — better targeting me | TACoS | 12% | ↓ 52% | | ROAS | 4.2x | ↑ 35% | -ACoS is now below break-even (24% < 30%). TACoS is healthy at 12% — organic sales are growing. The campaign is profitable and sustainable. +ACoS is now below break-even (24% vs. 30%), and TACoS at 12% shows organic sales are growing alongside the ads. The campaign is profitable and no longer carrying the whole load by itself. -> 📌 **Key Takeaway**: PPC optimization isn't a one-time fix. It's a process of reading metrics, diagnosing patterns, making targeted changes, and measuring results. Week over week, small improvements compound into big gains. +PPC optimization isn't a one-time fix. It's reading metrics, diagnosing the pattern, making one targeted change, and measuring the result — week over week, small improvements compound. -## The Maximum Profitable Bid Formula +## The maximum-CPC formula -Before making any bid decision, always calculate this: +Before any bid decision, calculate this: `maximum CPC = average order value × CVR × target ACoS`. -**Max CPC = AOV × CVR × Target ACoS** +For the kitchen scale at week 6: average order value $24.99, CVR 11% (0.11), target ACoS 25% (0.25). -For our kitchen scale: -- AOV (Average Order Value) = $24.99 -- CVR = 11% (0.11) -- Target ACoS = 25% (0.25) -- Max CPC = $24.99 × 0.11 × 0.25 = **$0.69** +`$24.99 × 0.11 × 0.25 = $0.69` -This means you should never bid above $0.69 on keywords for this product if you want a 25% ACoS. If Amazon suggests bids of $0.80–$1.20, you know those would push you above target. +Don't bid above $0.69 on keywords for this product if the target is 25% ACoS. If Amazon's suggested bid range is $0.80–$1.20, that range would push the campaign above target — treat it as a ceiling to check against, not a bid to accept by default. -> 💡 **Tip**: This single formula prevents more money-wasting decisions than any other in PPC management. Memorize it. Tattoo it on your forearm if you have to. (Okay, maybe just bookmark this page.) +## Client language -## Module 1 Complete — The Foundations +Use this when handing off a weekly read to a client or teammate: -You've built your PPC vocabulary: +> "This week's bottleneck was CTR, not conversion — the listing converts fine once someone clicks. I tightened match types and added negatives; I'll report the CTR and ACoS trend at the next check-in before touching bids again." -- **CPC** — How much you pay per click -- **CTR** — How effectively your ads attract clicks -- **CVR** — How well your product page converts -- **ACoS** — How efficient your ad spend is (your #1 metric) -- **TACoS** — How dependent your business is on paid traffic -- **ROAS** — Revenue earned per ad dollar spent +## Check -You also know the **diagnostic framework** for reading metric patterns and the **maximum profitable bid formula** for setting smart bids. +1. A campaign has high CTR and low CVR. Is the fix a targeting fix or a listing fix? +2. Why is week 1 of a product launch not a fair test of whether a campaign is "working"? +3. What's the maximum CPC for a $35 product with a 12% CVR and a 20% target ACoS? +4. Why take one action at a time instead of changing bid, targeting, and budget together? -> 📌 **Key Takeaway**: These metrics are your language. Every PPC conversation — with a client or a colleague — starts with these numbers. You now speak the language. +**Answers:** (1) Listing fix — the clicks prove targeting is relevant; the page isn't converting them. (2) A launch campaign is still building search-term data and reviews, so day-one metrics reflect the learning phase, not steady-state performance. (3) $35 × 0.12 × 0.20 = $0.84. (4) Changing everything at once makes it impossible to know which change caused which result, so you can't repeat what worked or undo what didn't. ---- +## Module 1 complete -*Module 1 complete! You've earned XP from all five lessons. Use the max-CPC formula above on your own numbers as practice, then proceed to Module 2: Keyword Research.* +You've built the vocabulary and the read: CPC, CTR, CVR, ACoS, TACoS, and ROAS, plus the diagnostic framework for reading them as a pattern and the maximum-CPC formula for setting a defensible bid. Module 2, Keyword Research, is next — it's where you turn this reading skill into the target list a campaign actually runs on. diff --git a/content/curriculum/quiz-questions.json b/content/curriculum/quiz-questions.json index 3d5f00b..5f27f08 100755 --- a/content/curriculum/quiz-questions.json +++ b/content/curriculum/quiz-questions.json @@ -43,13 +43,13 @@ }, { "order": 4, - "question": "In a second-price auction system, how much do you actually pay per click?", - "optionA": "Your maximum bid amount", - "optionB": "One cent more than the second-highest bid", - "optionC": "The average of all bids", - "optionD": "A fixed price determined by Amazon", + "question": "What does your Amazon PPC bid actually control?", + "optionA": "The exact price you'll pay for every click", + "optionB": "A ceiling — the most you'll pay, with the real cost decided by the auction and your settings", + "optionC": "A price that never changes once the campaign is live", + "optionD": "A guaranteed discount of one cent below the next bidder", "correctAnswer": "B", - "explanation": "In a second-price auction, you pay just one cent more than the next highest bidder, not your full maximum bid. This means your actual CPC is often lower than your bid." + "explanation": "Your bid is a ceiling, not a fixed price. Relevance, targeting, placement modifiers, and bid strategy all affect what you actually pay. The safe habit isn't memorizing an auction formula — it's setting a defensible maximum bid and then watching your realized CPC in the reports." }, { "order": 5, diff --git a/scripts/import-amph-content.ts b/scripts/import-amph-content.ts index 6146abc..fa9a793 100644 --- a/scripts/import-amph-content.ts +++ b/scripts/import-amph-content.ts @@ -258,7 +258,7 @@ async function importLessons(moduleIdByNumber: Map): Promise Date: Thu, 16 Jul 2026 22:04:12 +0000 Subject: [PATCH 2/2] content: fix CodeRabbit findings on PR #31 Correctness fixes: reconcile the 1.3 and 1.5 worked-example numbers so ACoS/ROAS actually follow from the stated CPC/CVR/AOV, relabel 1.2's "break-even CPC" as "maximum CPC at target ACoS" (it's only break-even when the target equals the real margin), fix a ROAS ad-spend/sales mislabel in 1.4, soften 1.5's max-CPC guidance from a hard per-click cap to a realized-CPC comparison, stop treating a single CTR/CVR/CPC reading as proof of one root cause in 1.5's patterns 1 and 3, require checking the ad-sales/organic-sales split before blaming organic decline for a rising TACoS in 1.3 and 1.5, replace "review generation" with Amazon's compliant review mechanisms, clarify 1.1's Big Six vs. supporting inputs, add the daily-budget gap to 0.3's model answer, and reconcile the quiz's bid-ceiling question with 1.2's own dynamic-bidding content. Style: remove every em dash from the touched lessons and quiz JSON per the repo's voice guide, define ASIN/XP/PPC on first use, and drop a redundant comment in the importer. Co-Authored-By: Claude Sonnet 5 Claude-Session: https://claude.ai/code/session_01QSfREMzPnGxjrUPSbz3PGp --- .../modules/0-onboarding/0.1-welcome.mdx | 2 +- .../0-onboarding/0.2-platform-tour.mdx | 14 +++--- .../0-onboarding/0.3-first-simulation.mdx | 4 +- ...1.1-read-ppc-data-before-you-change-it.mdx | 24 ++++----- .../modules/1-foundations/1.2-cpc-ctr.mdx | 37 +++++++------- .../1.3-acos-tacos-profitability.mdx | 50 ++++++++++--------- .../1.4-roas-measuring-return.mdx | 24 ++++----- .../1-foundations/1.5-metrics-in-practice.mdx | 40 +++++++-------- content/curriculum/quiz-questions.json | 4 +- scripts/import-amph-content.ts | 1 - 10 files changed, 100 insertions(+), 100 deletions(-) diff --git a/content/curriculum/modules/0-onboarding/0.1-welcome.mdx b/content/curriculum/modules/0-onboarding/0.1-welcome.mdx index 8ec67d9..a01a6eb 100755 --- a/content/curriculum/modules/0-onboarding/0.1-welcome.mdx +++ b/content/curriculum/modules/0-onboarding/0.1-welcome.mdx @@ -24,7 +24,7 @@ Amazon PPC (Pay-Per-Click) is Amazon's Sponsored Products, Sponsored Brands, and Amazon PPC has formulas, reports, settings, and acronyms. You'll learn them. The real skill is knowing what to do when the numbers change. -For example, a campaign can have a high ACoS (Advertising Cost of Sales — ad spend divided by ad sales) for different reasons: +For example, a campaign can have a high ACoS (Advertising Cost of Sales, ad spend divided by ad sales) for different reasons: - The campaign bought clicks from the wrong searches. - The product page didn't convince shoppers to buy. diff --git a/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx b/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx index aa8738b..5f80d6a 100755 --- a/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx +++ b/content/curriculum/modules/0-onboarding/0.2-platform-tour.mdx @@ -29,7 +29,7 @@ The app has four sections, reachable from the navigation bar on every screen: | Tools | The five practice tools, each with its own scenario library. | Once a module unlocks the tool tied to it. | | Profile | Your account, enrollment, and payment history. | Managing your account or checking what you're enrolled in. | -## Courses — your learning path +## Courses: your learning path The Courses section shows your enrolled courses. Inside each course, modules unlock in order: you finish Module 0 before Module 1 unlocks, Module 1 before Module 2, and so on. Each module lists its lessons and, where one exists, a knowledge-check quiz at the end. @@ -38,7 +38,7 @@ You're in PPC Foundations right now, Module 0. Here's the full module lineup: | Module | Title | What you'll learn | |---|---|---| | 0 | Onboarding | Platform orientation, the work loop, account safety, client briefs. | -| 1 | PPC Foundations | The Big Six metrics — CPC, CTR, ACoS, TACoS, ROAS, CVR. | +| 1 | PPC Foundations | The Big Six metrics: CPC, CTR, ACoS, TACoS, ROAS, CVR. | | 2 | Keyword Research | Match types, negatives, keyword grouping, the research workflow. | | 3 | Listing Optimization | Listing anatomy, A+ content, conversion signals. | | 4 | Campaign Architecture | Sponsored Products, Brands, and Display campaign structure. | @@ -47,7 +47,7 @@ You're in PPC Foundations right now, Module 0. Here's the full module lineup: | 7 | Search Term Triage | Finding and fixing wasted ad spend. | | 8 | Competitive Intelligence | Brand Analytics, share of voice, benchmarking. | -## Tools — where you practice +## Tools: where you practice A tool is a realistic practice scenario. It gives you a product, an objective, and a set of decisions to make, the same kind of decisions you'd face on a real client account. No client money is on the line while you practice. @@ -65,11 +65,11 @@ Each tool stays available after it unlocks, so you can replay a scenario any tim You earn XP for finishing lessons and tool scenarios. Badges recognize specific milestones, not just XP totals. A few examples you'll run into early: -- **First Steps** — completing your first lesson. -- **Quiz Ace** — scoring 100% on a knowledge-check quiz. -- **Week Warrior** — logging in seven days in a row. +- **First Steps**: completing your first lesson. +- **Quiz Ace**: scoring 100% on a knowledge-check quiz. +- **Week Warrior**: logging in seven days in a row. -XP and badges track your progress. They don't replace the work samples listed in Lesson 0.1 — those are what you'll actually show a client or a hiring manager. +XP and badges track your progress. They don't replace the work samples listed in Lesson 0.1. Those are what you'll actually show a client or a hiring manager. ## A preview of the real Amazon Ads Console diff --git a/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx b/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx index f927c24..18eabc8 100755 --- a/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx +++ b/content/curriculum/modules/0-onboarding/0.3-first-simulation.mdx @@ -48,7 +48,7 @@ Using the checklist above, list which facts the client already gave you, and whi **What the client gave you:** the product (bamboo cutting board), that it's an existing listing (not a brand-new launch), and a monthly budget ceiling ($500). -**What's still missing:** the business objective (is "slow sales" about visibility, conversion, or both?), a target ACoS or profitability rule, current stock position, any price or promotion plans, and whether you have approval to change bids and budgets yourself or need sign-off first. +**What's still missing:** the business objective (is "slow sales" about visibility, conversion, or both?), the approved daily budget within that $500 monthly ceiling, a target ACoS or profitability rule, current stock position, any price or promotion plans, and whether you have approval to change bids and budgets yourself or need sign-off first. That gap is normal. Most clients don't know which facts you need until you ask. Asking well is part of the job. @@ -64,7 +64,7 @@ Use this the first time you take on a new product from a client: 2. Name two facts from the checklist that change the bid math you'll learn in Module 1. 3. In the sample exchange above, what's the single most important missing fact before you'd feel safe starting? -**Answers:** (1) Because an unapproved or uninformed change can spend a client's money before you understand the objective or the limits, and ad spend isn't refundable after the fact. (2) Target ACoS or profitability rule, and price — both feed directly into the maximum-CPC formula in Module 1. (3) Answers will vary, but target ACoS or profitability rule and current stock position are the strongest candidates, since without them you can't judge whether the account is even ready to spend more on ads. +**Answers:** (1) Because an unapproved or uninformed change can spend a client's money before you understand the objective or the limits, and ad spend isn't refundable after the fact. (2) Target ACoS or profitability rule, and price: both feed directly into the maximum-CPC formula in Module 1. (3) Answers will vary, but target ACoS or profitability rule and current stock position are the strongest candidates, since without them you can't judge whether the account is even ready to spend more on ads. ## Key takeaway diff --git a/content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx b/content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx index 7795322..05cd58f 100644 --- a/content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx +++ b/content/curriculum/modules/1-foundations/1.1-read-ppc-data-before-you-change-it.mdx @@ -12,7 +12,7 @@ xpReward: 75 ## What you can do after this lesson -Read the six core Amazon PPC metrics together, identify the likely performance problem, and choose the first question to investigate before changing anything. +Read the six core Amazon pay-per-click (PPC) metrics together, identify the likely performance problem, and choose the first question to investigate before changing anything. ## The decision in one sentence @@ -20,18 +20,16 @@ Don't change a bid because one metric looks bad. First find out whether the issu ## Meet the Big Six -These six metrics describe what happened between the search result and the sale. Amazon reports every one of them per campaign, per ad group, and per keyword. +The Big Six are the six calculated metrics that describe what happened between the search result and the sale. CPC, CTR, CVR, ACoS, and ROAS are standard ad-report numbers, available per campaign, per ad group, and per keyword: -- **Impressions** — how often Amazon showed the ad. -- **Clicks** — how often a shopper selected the ad. -- **CPC, cost per click** — average advertising cost for one click. `CPC = ad spend ÷ clicks`. -- **CTR, click-through rate** — the share of impressions that became clicks. `CTR = clicks ÷ impressions`. -- **CVR, conversion rate** — the share of clicks that became orders. `CVR = orders ÷ clicks`. -- **ACoS, advertising cost of sales** — advertising spend divided by ad-attributed sales. `ACoS = ad spend ÷ ad sales`. -- **TACoS, total advertising cost of sales** — advertising spend divided by total sales, including organic sales. `TACoS = ad spend ÷ total sales`. -- **ROAS, return on ad spend** — ad-attributed sales divided by advertising spend. `ROAS = ad sales ÷ ad spend`. +- **CPC, cost per click** (average advertising cost for one click): `CPC = ad spend ÷ clicks`. +- **CTR, click-through rate** (the share of impressions that became clicks): `CTR = clicks ÷ impressions`. +- **CVR, conversion rate** (the share of clicks that became orders): `CVR = orders ÷ clicks`. +- **ACoS, advertising cost of sales** (advertising spend divided by ad-attributed sales): `ACoS = ad spend ÷ ad sales`. +- **TACoS, total advertising cost of sales** (advertising spend divided by total sales, including organic sales): `TACoS = ad spend ÷ total sales`. +- **ROAS, return on ad spend** (ad-attributed sales divided by advertising spend): `ROAS = ad sales ÷ ad spend`. -People call this group the Big Six even though it includes impressions and clicks as supporting signals. The name matters less than the job each number does. +Two more numbers feed these calculations without being part of the Big Six themselves: **impressions** (how often Amazon showed the ad) and **clicks** (how often a shopper selected it). CPC and CTR come straight from ad platform reports. TACoS is different: it needs total sales, including organic sales that happen with no ad involved, so it's a business-level number you calculate yourself, not a line in a standard ad report. ## Start with one case @@ -140,9 +138,9 @@ Answer these before reading further: - Is traffic likely the first problem? - What extra information do you need before changing the bid? -**Work it through:** CTR = 120 ÷ 4,000 = 3.0%. CVR = 18 ÷ 120 = 15%. ACoS = $180 ÷ $900 = 20%. Traffic isn't the first problem here — CTR is healthy and CVR is strong, and ACoS is already below the 25% target. Before touching the bid at all, you'd still want the campaign's objective and enough days of data to know this isn't one lucky week. +**Work it through:** CTR = 120 ÷ 4,000 = 3.0%. CVR = 18 ÷ 120 = 15%. ACoS = $180 ÷ $900 = 20%. Traffic isn't the first problem here: CTR is healthy and CVR is strong, and ACoS is already below the 25% target. Before touching the bid at all, you'd still want the campaign's objective and enough days of data to know this isn't one lucky week. -Your written answer should name the campaign objective, the data window, the maximum-CPC or break-even logic, and the next review date — not just the four calculations. +Your written answer should name the campaign objective, the data window, the maximum-CPC or break-even logic, and the next review date, not just the four calculations. ## Client language diff --git a/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx b/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx index 274f70b..56ba92b 100755 --- a/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx +++ b/content/curriculum/modules/1-foundations/1.2-cpc-ctr.mdx @@ -12,11 +12,11 @@ xpReward: 75 ## What you can do after this lesson -Explain what drives CPC (cost per click) and CTR (click-through rate) up or down, and use break-even CPC to judge whether a CPC is actually a problem. +Explain what drives CPC (cost per click) and CTR (click-through rate) up or down, and calculate the maximum CPC a target ACoS can support to judge whether a CPC is actually a problem. ## The decision in one sentence -A CPC number by itself is neither good nor bad — compare it to your break-even CPC before you decide whether to act. +A CPC number by itself is neither good nor bad. Compare it to the maximum CPC your target ACoS can support before you decide whether to act. ## CPC: what's a click actually worth? @@ -27,7 +27,7 @@ CPC, cost per click, is what you pay each time a shopper clicks your ad: `CPC = 1. **High competition.** If many sellers bid on "wireless earbuds," the price to win that click rises. 2. **Broad keywords.** Vague terms like "earbuds" cost more because more advertisers want them. Specific terms like "wireless earbuds for running" cost less. 3. **Top-of-search placement.** The first few positions at the top of page one typically cost more than positions further down. -4. **Dynamic bidding.** If you use Amazon's "Dynamic bids — up and down" strategy, Amazon can raise your realized CPC above your set bid for opportunities it predicts will convert. +4. **Dynamic bidding.** If you use Amazon's "Dynamic bids: up and down" strategy, Amazon can raise your realized CPC above your set bid for opportunities it predicts will convert. ### What drives CPC down @@ -42,18 +42,19 @@ CPC, cost per click, is what you pay each time a shopper clicks your ad: `CPC = |---|---|---| | Keyword | "bamboo cutting board" | "wireless earbuds" | | Competition | Medium | Very high | -| Typical CPC | $0.60–$1.20 | $1.50–$4.00 | +| Typical CPC | $0.60 to $1.20 | $1.50 to $4.00 | | Average order value | $24.99 | $35.00 | | CVR (conversion rate) | 10% | 8% | -| Break-even CPC | $0.75 | $0.88 | +| Target ACoS | 30% | 25% | +| Maximum CPC at that target | $0.75 | $0.70 | A "cheap" CPC isn't automatically good. Paying $0.10 per click with a 1% conversion rate costs $10 per order. A $2.00 CPC with a 20% conversion rate also costs $10 per order. Same result, very different CPC. -Always calculate your **break-even CPC** before judging whether a CPC is too high: `break-even CPC = average order value × CVR × target ACoS`. This is the most you can pay per click and still hit your target ACoS (advertising cost of sales). +Always calculate the **maximum CPC** a target can support before judging whether a CPC is too high: `maximum CPC = average order value × CVR × target ACoS`. This is the most you can pay per click and still hit that target ACoS (advertising cost of sales). It's only your true break-even CPC if the target ACoS you used is also the product's actual break-even margin (Lesson 1.3 covers how to calculate that margin). Otherwise, treat it as the ceiling for the target you're working to, not a statement about profit. ## CTR: are people clicking? -CTR, click-through rate, measures relevance: `CTR = clicks ÷ impressions`. If your ad shows up for a search but nobody clicks, something about the match or the listing isn't landing — and it's costing you impressions without a return. +CTR, click-through rate, measures relevance: `CTR = clicks ÷ impressions`. If your ad shows up for a search but nobody clicks, something about the match or the listing isn't landing, and it's costing you impressions without a return. ### What drives CTR up @@ -75,7 +76,7 @@ You sell a silicone baking mat for $19.99. | Metric | Current | Problem? | |---|---|---| -| Impressions | 8,000/week | — | +| Impressions | 8,000/week | N/A | | Clicks | 40/week | Low | | CTR | 0.5% | Below what this category typically sees | @@ -91,16 +92,16 @@ You sell a silicone baking mat for $19.99. | Clicks | 40 | 80 | ↑ 100% (more relevant clicks) | | CTR | 0.5% | 2.5% | ↑ 400% | -Fewer but more relevant impressions, plus more clicks, means a better CTR. You don't want to be seen by everyone — you want to be seen by the shoppers who are actually looking for your product. +Fewer but more relevant impressions, plus more clicks, means a better CTR. You don't want to be seen by everyone. You want to be seen by the shoppers who are actually looking for your product. ## The CPC-CTR relationship Ad relevance signals connect CPC and CTR. Amazon doesn't publish a single inspectable "quality score" a VA can check, but the pattern is observable in your own reports: -- **High CTR with relevant keywords** tends to come with a lower CPC for the same placement — the ad is reading as relevant. +- **High CTR with relevant keywords** tends to come with a lower CPC for the same placement, since the ad is reading as relevant. - **Low CTR with loosely matched keywords** tends to come with a higher CPC for the same placement. -When you see high CPC and low CTR together, the most common root cause is keyword relevance — the targeting is too broad for the product. Fix targeting first. Raising the bid to compensate for poor relevance usually just buys more of the same low-quality clicks. +When you see high CPC and low CTR together, the most common root cause is keyword relevance: the targeting is too broad for the product. Fix targeting first. Raising the bid to compensate for poor relevance usually just buys more of the same low-quality clicks. ## Fact card @@ -119,12 +120,12 @@ Amazon does not publish a single named "Quality Score" that a VA can look up. Tr ## Quick check -1. Your product sells for $30, converts at 10%, and you target a 25% ACoS. What's your break-even CPC? -2. You spend $150 on ads and get 200 clicks. What's your CPC? Is it above or below your break-even from question 1? +1. Your product sells for $30, converts at 10%, and you target a 25% ACoS. What's the maximum CPC that target can support? +2. You spend $150 on ads and get 200 clicks. What's your CPC? Is it above or below the maximum from question 1? 3. Your ad gets 12,000 impressions and 180 clicks. What's your CTR? -4. You see high CPC and low CTR on the same keyword. What do you check first — the bid, or the targeting? +4. You see high CPC and low CTR on the same keyword. What do you check first, the bid or the targeting? -**Answers:** (1) Break-even CPC = $30 × 0.10 × 0.25 = $0.75. (2) Actual CPC = $150 ÷ 200 = $0.75 — right at break-even, so these clicks aren't currently profitable. (3) CTR = 180 ÷ 12,000 = 1.5%. (4) Targeting first — high CPC with low CTR usually signals a relevance problem, and raising the bid without fixing that just pays more for the same weak match. +**Answers:** (1) Maximum CPC = $30 × 0.10 × 0.25 = $0.75. (2) Actual CPC = $150 ÷ 200 = $0.75, right at that ceiling, so these clicks are only just meeting the 25% target with no room to spare. (3) CTR = 180 ÷ 12,000 = 1.5%. (4) Targeting first: high CPC with low CTR usually signals a relevance problem, and raising the bid without fixing that just pays more for the same weak match. ## Client language @@ -136,6 +137,6 @@ Use this when a client asks why a keyword's CPC looks high: - CPC is driven by competition, keyword specificity, placement, and relevance. - CTR is driven by keyword relevance, image quality, price, and reviews. -- Always calculate break-even CPC before judging whether a CPC is too high. -- High CPC with low CTR usually means the keyword is too broad — fix targeting before raising bids. -- Amazon doesn't expose a single "quality score" — read CTR, CVR, and relevance as the observable signals instead. +- Always calculate the maximum CPC your target ACoS can support before judging whether a CPC is too high. +- High CPC with low CTR usually means the keyword is too broad. Fix targeting before raising bids. +- Amazon doesn't expose a single "quality score." Read CTR, CVR, and relevance as the observable signals instead. diff --git a/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx b/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx index e2f83be..fb4e657 100755 --- a/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx +++ b/content/curriculum/modules/1-foundations/1.3-acos-tacos-profitability.mdx @@ -16,7 +16,7 @@ Calculate break-even ACoS (advertising cost of sales) for a product, read TACoS ## The decision in one sentence -Your ACoS must stay below your profit margin for a campaign to make money — everything else is context for how urgently to act. +Your ACoS must stay below your profit margin for a campaign to make money. Everything else is context for how urgently to act. ## ACoS: the scorecard @@ -39,7 +39,7 @@ This means the break-even ACoS is about 46%. Any ACoS above that and the seller - Ad sales: $600 - ACoS: $300 ÷ $600 × 100 = **50%** -A 50% ACoS is close to the 46% break-even, but it's above it. That's a loss of $0.04 on every dollar of ad sales — $24 lost on $600 in ad sales this week. Scaled to $6,000 in monthly ad sales at the same 50% ACoS, that's $240 a month, or roughly $2,880 a year, from an ACoS that looks "close enough." +A 50% ACoS is close to the 46% break-even, but it's above it. That's a loss of $0.04 on every dollar of ad sales, $24 lost on $600 in ad sales this week. Scaled to $6,000 in monthly ad sales at the same 50% ACoS, that's $240 a month, or roughly $2,880 a year, from an ACoS that looks "close enough." **Week 3, after adding negative keywords and tightening targeting:** - Ad spend: $250 @@ -54,21 +54,21 @@ ACoS tells you whether your ads are efficient. TACoS tells you whether the busin **Formula:** `TACoS = ad spend ÷ total sales × 100` -Total sales means ad sales plus organic sales — sales that happen without ads. +Total sales means ad sales plus organic sales, sales that happen without ads. **Example.** The yoga mat seller's monthly numbers: ad sales $2,500, organic sales $5,000, total sales $7,500, ad spend $1,000. -- ACoS: $1,000 ÷ $2,500 × 100 = **40%** — below the 46% break-even. -- TACoS: $1,000 ÷ $7,500 × 100 = **13.3%** — a healthy range. +- ACoS: $1,000 ÷ $2,500 × 100 = **40%**, below the 46% break-even. +- TACoS: $1,000 ÷ $7,500 × 100 = **13.3%**, a healthy range. The ads are profitable, and the business isn't over-dependent on them. -**Now imagine organic sales drop to $2,500,** with ad spend and ACoS unchanged: -- TACoS: $1,000 ÷ $5,000 × 100 = **20%**. +**Now imagine total sales drop to $6,000,** with ad spend and ACoS unchanged: +- TACoS: $1,000 ÷ $6,000 × 100 = **16.7%**. -Same ad spend, same ACoS, but TACoS jumped because organic sales shrank. The business is becoming more dependent on ads — a signal worth flagging even though ACoS alone looks fine. +Same ad spend, same ACoS, but TACoS rose. That's a signal to pull the ad sales and organic sales apart and check which one moved. In this case it's organic sales that fell (from $5,000 to $3,500), not a change in ad performance. But a rising TACoS can also come from total sales being flat while ad spend grows, or from a seasonal dip in the whole business, so don't assume "organic sales are shrinking" is the answer until you've checked the actual ad-sales and organic-sales split. -Check TACoS alongside ACoS. A low ACoS with a rising TACoS means organic sales are declining, regardless of how efficient the ads look. +Check TACoS alongside ACoS. When TACoS rises while ACoS stays flat, pull the underlying ad spend, ad sales, and organic sales figures before concluding anything, rather than reading the rise itself as proof that organic sales are declining. ## The profitability equation @@ -78,19 +78,19 @@ For the yoga mat: - At 40% ACoS: $49.99 × 0.46 − $49.99 × 0.40 = $22.99 − $20.00 = **$2.99 profit per sale**. - At 50% ACoS: $49.99 × 0.46 − $49.99 × 0.50 = $22.99 − $25.00 = **−$2.01 per sale**. -The swing from 40% to 50% ACoS is the swing from making $2.99 to losing $2.01 on every ad sale — a $5.00 swing per order, or $500 over 100 orders. +The swing from 40% to 50% ACoS is the swing from making $2.99 to losing $2.01 on every ad sale, a $5.00 swing per order, or $500 over 100 orders. ## When ACoS is misleading ACoS can mislead in a few situations: -**Low ACoS, low volume.** A 15% ACoS looks great, but if it's only producing 3 orders a week, the account is efficient and barely selling anything. The goal isn't efficiency alone — it's profitable volume. +**Low ACoS, low volume.** A 15% ACoS looks great, but if it's only producing 3 orders a week, the account is efficient and barely selling anything. The goal isn't efficiency alone. It's profitable volume. -**High ACoS during launch.** New products often run 60–80% ACoS in the first month while the campaign builds data and reviews. That isn't failure — it's a planned investment. Judge launch campaigns on trajectory, not the day-one number. +**High ACoS during launch.** New products often run 60 to 80% ACoS in the first month while the campaign builds data and reviews. That isn't failure. It's a planned investment. Judge launch campaigns on trajectory, not the day-one number. **Returns.** If 20% of orders come back, the real ACoS is worse than the reported number. Factor expected returns into any profitability calculation for a category with high return rates. -When a client is worried about high ACoS during a launch, the useful question isn't "is ACoS high" — it's "is ACoS trending down week over week." If yes, the campaign is on track. +When a client is worried about high ACoS during a launch, the useful question isn't "is ACoS high." It's "is ACoS trending down week over week." If yes, the campaign is on track. ## Worked example: full week analysis @@ -98,21 +98,23 @@ When a client is worried about high ACoS during a launch, the useful question is | Metric | Value | Read | |---|---|---| -| Ad spend | $210 | — | -| Ad sales | $540 | — | -| Total sales | $810 | — | -| CPC | $0.90 | depends on CVR | +| Ad spend | $210 | N/A | +| Ad sales | $540 | N/A | +| Total sales | $810 | N/A | +| Clicks | 150 | N/A | +| Orders | 18 | N/A | +| CPC | $1.40 | high for this category | | CTR | 1.8% | good for this category | | CVR | 12% | strong | | ACoS | 38.9% | above the 35% margin | | TACoS | 25.9% | borderline high | | ROAS | 2.57x | below the 3.0x target | -**Diagnosis:** ACoS is above the 35% break-even margin, so the campaign is losing money on every ad sale. CTR and CVR are both healthy, so the ad is relevant and the listing converts. The likely lever is CPC — the campaign is paying too much per click. +**Diagnosis:** ACoS is above the 35% break-even margin, so the campaign is losing money on every ad sale. CTR and CVR are both healthy, so the ad is relevant and the listing converts. The likely lever is CPC. The campaign is paying too much per click. -**Action:** lower bids on the highest-CPC keywords by 15–20%, concentrate spend on exact-match keywords with a known strong conversion rate, and add negative keywords for irrelevant terms still consuming budget. +**Action:** lower bids on the highest-CPC keywords by 15 to 20%, concentrate spend on exact-match keywords with a known strong conversion rate, and add negative keywords for irrelevant terms still consuming budget. -**Expected result:** lowering average CPC from $0.90 to $0.75 while holding clicks at 233 drops spend from $210 to $175. With ad sales unchanged at $540, ACoS falls to 32.4% — now profitable. +**Expected result:** lowering average CPC from $1.40 to $1.15 (about an 18% cut) while holding clicks at 150 drops spend from $210 to $172.50. With ad sales unchanged at $540, ACoS falls to about 32%, now profitable. ## Quick check @@ -120,7 +122,7 @@ When a client is worried about high ACoS during a launch, the useful question is 2. You spend $500 on ads and generate $1,200 in ad sales. What's the ACoS? Is it profitable at a 45% margin? 3. Ad spend is $800, total sales are $4,000. What's the TACoS? -**Answers:** (1) Margin = ($40 − $18) ÷ $40 = 55%. Break-even ACoS = 55%. (2) ACoS = $500 ÷ $1,200 × 100 = 41.7% — profitable, since 41.7% is below the 45% margin. (3) TACoS = $800 ÷ $4,000 × 100 = 20%. +**Answers:** (1) Margin = ($40 − $18) ÷ $40 = 55%. Break-even ACoS = 55%. (2) ACoS = $500 ÷ $1,200 × 100 = 41.7%, which is profitable since 41.7% is below the 45% margin. (3) TACoS = $800 ÷ $4,000 × 100 = 20%. ## Client language @@ -130,7 +132,7 @@ Use this when ACoS looks bad during a launch: ## Key takeaways -- ACoS is the metric that answers "are these ads profitable" — it must stay below the product's profit margin. -- TACoS shows business health — a rising TACoS means growing ad dependency, even when ACoS looks fine. +- ACoS is the metric that answers "are these ads profitable." It must stay below the product's profit margin. +- A rising TACoS means growing ad dependency, but check the underlying ad-sales and organic-sales split before naming the cause. - Factor product costs, fees, and returns into the true break-even ACoS, not just the sticker price. -- Expect high ACoS during a launch — judge it on trend, not the day-one number. +- Expect high ACoS during a launch. Judge it on trend, not the day-one number. diff --git a/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx b/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx index 449be38..aa51b3c 100755 --- a/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx +++ b/content/curriculum/modules/1-foundations/1.4-roas-measuring-return.mdx @@ -18,7 +18,7 @@ Calculate ROAS (return on ad spend), convert between ROAS and ACoS (advertising Use ACoS when you're optimizing a campaign yourself; use ROAS when you're explaining the same result to someone who thinks in returns, not costs. -You already know ACoS — the percentage of ad revenue that went to ad costs. ROAS is the same relationship, flipped: instead of "what percent of my revenue went to ads," ROAS asks "for every dollar I spend on ads, how many dollars come back." +You already know ACoS, the percentage of ad revenue that went to ad costs. ROAS is the same relationship, flipped: instead of "what percent of my revenue went to ads," ROAS asks "for every dollar I spend on ads, how many dollars come back." ## The simple math @@ -39,13 +39,13 @@ Higher ROAS means more revenue per ad dollar. | ACoS | ROAS | Profitable at a 35% margin? | |---|---|---| -| 20% | 5.0x | Yes — very profitable | -| 25% | 4.0x | Yes — healthy | -| 33% | 3.0x | Yes — still profitable | -| 40% | 2.5x | No — above the 35% margin | -| 50% | 2.0x | No — losing money | +| 20% | 5.0x | Yes, very profitable | +| 25% | 4.0x | Yes, healthy | +| 33% | 3.0x | Yes, still profitable | +| 40% | 2.5x | No, above the 35% margin | +| 50% | 2.0x | No, losing money | -**Use ACoS** when you're optimizing campaigns day to day — "lower ACoS" is a direct, actionable target. +**Use ACoS** when you're optimizing campaigns day to day. "Lower ACoS" is a direct, actionable target. **Use ROAS** when you're talking to a client or business owner who isn't fluent in PPC. "For every dollar you put into ads, you get $3.50 back" reads as a return, which is usually the frame a business owner already thinks in. @@ -55,7 +55,7 @@ Just like ACoS has a break-even point, ROAS has a minimum threshold: `minimum RO For a product with a 35% margin: minimum ROAS = 1 ÷ 0.35 = **2.86x**. Anything below that loses money on ads. -For a product with a 50% margin: minimum ROAS = 1 ÷ 0.50 = **2.0x**. There's more room here — even 2.5x is profitable. +For a product with a 50% margin: minimum ROAS = 1 ÷ 0.50 = **2.0x**. There's more room here, even 2.5x is profitable. Target ROAS (the number you aim for) should sit above the minimum, to leave a safety cushion: @@ -76,7 +76,7 @@ Same product, a $34.99 yoga block with a 40% margin. Campaign A has both the lower ACoS (25.4% vs 28.6%) and the higher ROAS (3.94x vs 3.50x), while Campaign B is slightly more efficient per click on CPC. But Campaign A generates more than double the revenue ($1,574 vs $699) while staying profitable. -Don't optimize for the highest ROAS in isolation. A 5.0x ROAS on $50 in sales ($250 revenue) is worth less than a 3.5x ROAS on $1,000 in sales ($3,500 revenue). Profitable volume beats marginally better efficiency at a fraction of the scale. +Don't optimize for the highest ROAS in isolation. A 5.0x ROAS on $50 in ad spend ($250 in ad sales) is worth less than a 3.5x ROAS on $1,000 in ad spend ($3,500 in ad sales). Profitable volume beats a small edge in efficiency at a much smaller scale. ## Quick check @@ -84,7 +84,7 @@ Don't optimize for the highest ROAS in isolation. A 5.0x ROAS on $50 in sales ($ 2. Your product's margin is 42%. What's the minimum acceptable ROAS? 3. If ROAS drops from 4.0x to 2.5x, what happened to ACoS? -**Answers:** (1) ROAS = $900 ÷ $300 = 3.0x. (2) Minimum ROAS = 1 ÷ 0.42 = 2.38x, so 3.0x from question 1 would be profitable on this product. (3) ACoS went from 25% (1 ÷ 4.0) to 40% (1 ÷ 2.5) — a meaningful jump that could push the campaign above margin depending on the product. +**Answers:** (1) ROAS = $900 ÷ $300 = 3.0x. (2) Minimum ROAS = 1 ÷ 0.42 = 2.38x, so 3.0x from question 1 would be profitable on this product. (3) ACoS went from 25% (1 ÷ 4.0) to 40% (1 ÷ 2.5), a meaningful jump that could push the campaign above margin depending on the product. ## Client language @@ -94,8 +94,8 @@ Use this when reporting results to a business owner rather than a PPC colleague: ## Key takeaways -- ROAS = ad sales ÷ ad spend — the revenue return per ad dollar. -- ROAS and ACoS are mathematical inverses — the same underlying data, framed differently. +- ROAS = ad sales ÷ ad spend, the revenue return per ad dollar. +- ROAS and ACoS are mathematical inverses: the same underlying data, framed differently. - Use ROAS with stakeholders, ACoS when optimizing campaigns yourself. - Calculate the minimum ROAS (1 ÷ margin) and target above it, not just above zero. - Optimize for profitable revenue, not the single highest ROAS number. diff --git a/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx b/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx index 07ce458..4d9f5d9 100755 --- a/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx +++ b/content/curriculum/modules/1-foundations/1.5-metrics-in-practice.mdx @@ -16,7 +16,7 @@ Read the Big Six metrics together as a pattern, not one at a time, and apply the ## The decision in one sentence -Identify which metric is actually out of line before you touch anything — CTR, CVR, ACoS, and TACoS each point to a different fix. +Identify which metric is actually out of line before you touch anything: CTR, CVR, ACoS, and TACoS each point to a different fix. You now know all six PPC metrics individually. In the real account, you never look at just one number. You read them together, the same way a nurse reads blood pressure, heart rate, and temperature as a set. Each combination tells a different story. @@ -24,11 +24,11 @@ You now know all six PPC metrics individually. In the real account, you never lo **The symptoms:** lots of clicks, almost no purchases, and a bad ACoS (advertising cost of sales). -**The diagnosis:** this is a listing problem, not a targeting problem. The traffic is relevant — the keywords are working, CTR (click-through rate) proves that. Something on the product page is stopping people from buying: photos, price, reviews, or description. +**The diagnosis:** a healthy CTR (click-through rate) is a good sign for targeting, but check the search-term report before ruling targeting out entirely. If the actual search terms are genuinely relevant to the product, this is a listing problem: something on the product page is stopping people from buying. -**What to do:** check the main image for clarity, review price competitiveness, read reviews for recurring complaints, and compare the listing against the top three competitors shown alongside the ad. +**What to do:** pull the search-term report first to confirm the traffic is genuinely relevant, not just clicking on a misleading image or price. If it is, check the main image for clarity, review price competitiveness, read reviews for recurring complaints, and compare the listing against the top three competitors shown alongside the ad. -**What not to do:** don't lower bids or pause keywords first. The targeting is fine — the listing is the problem. +**What not to do:** don't lower bids or pause keywords before checking the search terms. If the terms are relevant, the listing is the more likely problem. ## Pattern 2: low CTR, good CVR, low ACoS @@ -44,26 +44,26 @@ You now know all six PPC metrics individually. In the real account, you never lo **The symptoms:** paying a lot per click, and those clicks rarely convert. ACoS is well above margin. -**The diagnosis:** a keyword-quality problem — bidding on keywords that are too expensive and too broad for this product. +**The diagnosis:** likely a keyword-quality problem, bidding on keywords that are too expensive and too broad for this product, but placement, competition, and the listing itself can all push CPC up or CVR down too. Don't name the cause until you've checked the actual search terms and the product page. -**What to do:** pull the search-term report to see what's actually triggering the ad, add negative keywords for irrelevant searches, move from broad to phrase or exact match on the terms that do convert, and lower bids on expensive keywords that don't. If a keyword consistently fails to convert after 30 or more clicks, pause it. +**What to do:** pull the search-term report to see what's actually triggering the ad, add negative keywords for irrelevant searches, move from broad to phrase or exact match on the terms that do convert, and lower bids on expensive keywords that don't. Also check the product page. Even a well-targeted click can fail to convert if the listing itself isn't ready. If a keyword consistently fails to convert after 30 or more clicks, pause it. -This is the most urgent pattern — it loses money every day it goes unfixed. +This is the most urgent pattern. It loses money every day it goes unfixed. ## Pattern 4: good CTR, good CVR, rising TACoS **The symptoms:** the ads look healthy on every ad-level metric, but TACoS (total advertising cost of sales) keeps climbing. -**The diagnosis:** organic sales are shrinking. The ads are efficient, but the business is becoming more dependent on paid traffic to sell at all. +**The diagnosis:** a rising TACoS with a steady ACoS means the business is leaning more on paid traffic than before, but don't assume organic sales are shrinking until you've pulled the actual ad-sales and organic-sales split. A rising TACoS can also come from total sales being flat while spend grows, or a seasonal dip. -**What to do:** check organic keyword rankings, invest in review generation, and optimize the listing's title, bullets, and backend keywords for organic search. Consider a temporary ad-spend increase while the organic fix takes hold. +**What to do:** if organic sales are genuinely falling, check organic keyword rankings and optimize the listing's title, bullets, and backend keywords for organic search. Build reviews only through Amazon's own tools, like the "Request a Review" button or the Vine program. Never offer an incentive for a positive review or ask a customer to change one. That risks the listing's standing far more than a slow review count does. Consider a temporary ad-spend increase while the organic fix takes hold. **What not to do:** don't ignore a rising TACoS just because ACoS looks fine. It's a slow leak, not a false alarm. ## The diagnostic framework 1. **Identify the bottleneck.** CTR out of line points to a targeting or relevance problem. CVR out of line points to a listing problem. ACoS out of line points to an efficiency problem. TACoS out of line points to an organic-dependency problem. -2. **Find the root cause.** Use the search-term report, placement data, and competitive comparison to understand why the bottleneck exists — don't just treat the symptom. +2. **Find the root cause.** Use the search-term report, placement data, and competitive comparison to understand why the bottleneck exists. Don't just treat the symptom. 3. **Take one action at a time.** Resist changing everything at once. Make one adjustment, wait 3–7 days for data, then evaluate. 4. **Measure the impact.** Compare before-and-after metrics. Did the bottleneck metric improve without degrading the others? @@ -75,20 +75,20 @@ Product: a kitchen scale, $24.99, 30% margin, so a 30% break-even ACoS. | Metric | Value | Read | |---|---|---| -| CPC | $1.20 | typical for this category | +| CPC | $1.00 | typical for this category | | CTR | 1.2% | below average | | CVR | 8% | decent | | ACoS | 50% | above the 30% margin | | TACoS | 40% | no organic sales yet | | ROAS | 2.0x | below the 3.3x break-even | -Week 1 of a launch isn't expected to be profitable yet. The question isn't "is this profitable" — it's "is this trending the right direction." +Week 1 of a launch isn't expected to be profitable yet. The question isn't "is this profitable." It's "is this trending the right direction." **Week 3, after adding negative keywords and tightening match types:** | Metric | Value | Change | |---|---|---| -| CPC | $0.95 | ↓ 21% | +| CPC | $0.80 | ↓ 20% | | CTR | 2.8% | ↑ 133% | | CVR | 10% | ↑ 25% | | ACoS | 32% | ↓ 36% | @@ -101,16 +101,16 @@ CTR more than doubled from tighter targeting. ACoS dropped from 50% to 32%, near | Metric | Value | Change | |---|---|---| -| CPC | $0.85 | ↓ 11% | +| CPC | $0.66 | ↓ 18% | | CTR | 3.5% | ↑ 25% | | CVR | 11% | ↑ 10% | | ACoS | 24% | ↓ 25% | | TACoS | 12% | ↓ 52% | | ROAS | 4.2x | ↑ 35% | -ACoS is now below break-even (24% vs. 30%), and TACoS at 12% shows organic sales are growing alongside the ads. The campaign is profitable and no longer carrying the whole load by itself. +ACoS is now below break-even (24% vs. 30%), and TACoS at 12% shows the business is leaning less on ads than it was in week 1. The campaign is profitable and no longer carrying the whole load by itself. -PPC optimization isn't a one-time fix. It's reading metrics, diagnosing the pattern, making one targeted change, and measuring the result — week over week, small improvements compound. +PPC optimization isn't a one-time fix. It's reading metrics, diagnosing the pattern, making one targeted change, and measuring the result. Week over week, small improvements compound. ## The maximum-CPC formula @@ -120,13 +120,13 @@ For the kitchen scale at week 6: average order value $24.99, CVR 11% (0.11), tar `$24.99 × 0.11 × 0.25 = $0.69` -Don't bid above $0.69 on keywords for this product if the target is 25% ACoS. If Amazon's suggested bid range is $0.80–$1.20, that range would push the campaign above target — treat it as a ceiling to check against, not a bid to accept by default. +Treat $0.69 as the maximum average CPC this product can support at a 25% target, not a hard per-click cap: your entered bid, placement adjustments, and bid strategy settings decide what any single click actually costs, and dynamic bidding can push individual auctions higher. What matters is your realized CPC over time. If Amazon's suggested bid range is $0.80 to $1.20, treat that as a signal to compare against your maximum, not a bid to accept by default. ## Client language Use this when handing off a weekly read to a client or teammate: -> "This week's bottleneck was CTR, not conversion — the listing converts fine once someone clicks. I tightened match types and added negatives; I'll report the CTR and ACoS trend at the next check-in before touching bids again." +> "This week's bottleneck was CTR, not conversion. The listing converts fine once someone clicks. I tightened match types and added negatives; I'll report the CTR and ACoS trend at the next check-in before touching bids again." ## Check @@ -135,8 +135,8 @@ Use this when handing off a weekly read to a client or teammate: 3. What's the maximum CPC for a $35 product with a 12% CVR and a 20% target ACoS? 4. Why take one action at a time instead of changing bid, targeting, and budget together? -**Answers:** (1) Listing fix — the clicks prove targeting is relevant; the page isn't converting them. (2) A launch campaign is still building search-term data and reviews, so day-one metrics reflect the learning phase, not steady-state performance. (3) $35 × 0.12 × 0.20 = $0.84. (4) Changing everything at once makes it impossible to know which change caused which result, so you can't repeat what worked or undo what didn't. +**Answers:** (1) Likely a listing fix, but confirm it with the search-term report first: if the terms triggering the ad are genuinely relevant, the page isn't converting them. (2) A launch campaign is still building search-term data and reviews, so day-one metrics reflect the learning phase, not steady-state performance. (3) $35 × 0.12 × 0.20 = $0.84. (4) Changing everything at once makes it impossible to know which change caused which result, so you can't repeat what worked or undo what didn't. ## Module 1 complete -You've built the vocabulary and the read: CPC, CTR, CVR, ACoS, TACoS, and ROAS, plus the diagnostic framework for reading them as a pattern and the maximum-CPC formula for setting a defensible bid. Module 2, Keyword Research, is next — it's where you turn this reading skill into the target list a campaign actually runs on. +You've built the vocabulary and the read: CPC, CTR, CVR, ACoS, TACoS, and ROAS, plus the diagnostic framework for reading them as a pattern and the maximum-CPC formula for setting a defensible bid. Module 2, Keyword Research, is next. That's where you turn this reading skill into the target list a campaign actually runs on. diff --git a/content/curriculum/quiz-questions.json b/content/curriculum/quiz-questions.json index 5f27f08..a4d34e1 100755 --- a/content/curriculum/quiz-questions.json +++ b/content/curriculum/quiz-questions.json @@ -45,11 +45,11 @@ "order": 4, "question": "What does your Amazon PPC bid actually control?", "optionA": "The exact price you'll pay for every click", - "optionB": "A ceiling — the most you'll pay, with the real cost decided by the auction and your settings", + "optionB": "A starting point that placement adjustments and your bid strategy then act on to set the real ceiling", "optionC": "A price that never changes once the campaign is live", "optionD": "A guaranteed discount of one cent below the next bidder", "correctAnswer": "B", - "explanation": "Your bid is a ceiling, not a fixed price. Relevance, targeting, placement modifiers, and bid strategy all affect what you actually pay. The safe habit isn't memorizing an auction formula — it's setting a defensible maximum bid and then watching your realized CPC in the reports." + "explanation": "Your entered bid is the base. Placement adjustments raise it for specific placements, and your bid strategy setting decides whether the result is a hard ceiling (Fixed Bids, Dynamic Down Only) or something Amazon can raise further for likely conversions (Dynamic Up and Down). The safe habit isn't memorizing an auction formula, it's setting a defensible maximum bid and then watching your realized CPC in the reports." }, { "order": 5, diff --git a/scripts/import-amph-content.ts b/scripts/import-amph-content.ts index fa9a793..e1922e2 100644 --- a/scripts/import-amph-content.ts +++ b/scripts/import-amph-content.ts @@ -258,7 +258,6 @@ async function importLessons(moduleIdByNumber: Map): Promise