Why Your Amazon PPC Team Needs Access to Your Stock Data

Five years ago you could hire a PPC manager for bids, budgets, keywords, campaign types and structure, and that was the whole job. Today Mike argues that a good Amazon PPC marketer is just a good Amazon marketer, and the job now reaches into what used to be somebody else's problem entirely: fees, refunds, logistics, and the one he thinks is most underrated, stock.This is the case for letting your marketing team into your inventory data, and it starts with a client who flatly did not believe it mattered. Conversion rate is a product page problem and a PPC problem, they said. So Olena on the Ad Badger team built the chart that settled it - unit session percentage plotted against warehouse balance - and the split was uncomfortable. Above one threshold the numbers held. Below it they didn't. Sales, conversion rate, Buy Box. Not out of stock. Just low.That sent Mike into inventory distortion - the combined financial drain of overstocking and stocking out, estimated to cost global retail 10 to 30% of total sales volume, and almost never mentioned alongside ACoS. He breaks the damage into four buckets: lost revenue that doesn't happen evenly (half a million Buy Box checks found roughly one in three products has at least one location with a suppressed Buy Box), rank decay, the PPC tax you pay while competitors take cheaper clicks, and capital locked up in overstock.Then the SOP. Three reports - advertised products, FBA inventory health, and detailed page sales and traffic by ASIN - dropped into Claude with a prompt, and you have a dashboard. Mike walks an anonymized $400K a month account where roughly 30% of the catalog was fully out of stock and a couple of SKUs sat on over 1,000 days of supply. Plus the one nobody automates: nothing tells you when a product comes back in stock, which is exactly when you want the ads switched back on.We'll see you in The PPC Den!🦡 Highlights00:00 - Intro00:22 - What PPC management looked like five years ago01:13 - Fees, refunds, logistics and stock: the new scope01:44 - Lost revenue, rank decay, PPC tax and capital lockup02:29 - The client who didn't believe it03:07 - Unit session percentage vs warehouse balance04:22 - Inventory distortion, and the 10 to 30%05:36 - Problem 1: lost revenue, zip code by zip code05:57 - What half a million Buy Box checks revealed06:51 - Problems 2 and 3: rank decay and the PPC tax07:28 - The SOP: three reports across two timeframes09:03 - The case study: a $400K per month account10:50 - Reading the dashboard: days of stock left11:47 - The restocks nobody notifies you about12:42 - A free zip code level Buy Box tool🦡 Resources & Links🦡 GET AD BADGER ➡️Michael Erickson Facchin - Ad Badger's CEOYou're Not Out of Stock, So Why Are Your Sales Down?Buy Box Checker - free zip code level Buy Box and stock tracking📚 Unlock our FREE Amazon Marketing PlaybookSubscribe to our newsletterReview all our show notesHost and Executive Producer: Michael Erickson FacchinSenior Producer: Nancy Lili GonzalezPodcast Coordinator & Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno

Today Mike is flying solo, and for once the case file is his own: 400 episodes of The PPC Den, and what a decade of these conversations actually taught him about who wins on Amazon and who just stays busy.There's a shirt involved. There's a DSLR. There's also the small matter of being #1 on both of FeedSpot's Amazon podcast lists - the 9 Best Amazon PPC Podcasts and the 14 Best Amazon Advertising Podcasts - which raises the question of how those are two different lists. Mike rewinds eight years to the first two videos ever published, back when the bidding advice was revenue-per-click and the first episode of this show asked whether we were living in the golden age of Amazon PPC.Then the part worth writing down. Across 400 episodes and ten years of running Ad Badger, four things keep showing up in the people who succeed: they're never distracted by nonsense, they know how to prioritize, they never stop chasing product-market fit, and they treat the job as one that keeps evolving. On the way through you'll hear why there are no silver bullets, only lead bullets, why the most successful accounts Mike has worked on were the ones he barely had to touch, and the line most sellers have backwards - great PPC cannot save bad product-market fit, and PPC is the thing that tells you whether you have it.We'll see you in The PPC Den!🦡 Highlights00:00 - Intro: 400 episodes of The PPC Den00:32 - The DSLR, the shirt, and the milestone01:32 - Two FeedSpot lists, two #1 rankings01:54 - The first two YouTube videos, eight years ago02:31 - The very first episode: the golden age of Amazon PPC03:44 - Lesson 1: never distracted by nonsense04:15 - No silver bullets, only lead bullets05:48 - Lesson 2: the skill of prioritization05:58 - Why the job got more complicated, not less07:04 - Lesson 3: the product-market fit nobody finishes07:20 - The easiest campaigns, and why they were easy08:16 - What PPC tells you about product-market fit08:40 - Lesson 4: the evolving role of the PPC manager09:06 - The stock level and PPC performance mashup09:51 - The commitments for the next 100 episodes10:58 - The weekly digest plan11:19 - Every company is a software company12:52 - What 400 episodes changed🦡 Resources & Links🦡 GET AD BADGER ➡️Find Michael Erickson Facchin - Ad Badger's CEO and soul, PPC whisperer, and your go-to guide through the wild world of Amazon advertisingHow to Find Your Amazon Cross-Sales and True Organic Sales📚 Unlock our FREE comprehensive Amazon Marketing PlaybookSubscribe to our newsletterTransform your workflow with our comprehensive Amazon Advertising checklistReview all our show notesHost and Executive Producer: Michael Erickson FacchinSenior Producer: Nancy Lili GonzalezPodcast Coordinator & Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno

There is no shortage of AI hype for Amazon sellers. "AI bidding." "AI agents." Videos about tools that shipped this morning.This is the opposite of that. Michael walks the full 10-level progression from clicking around in Seller Central to running autonomous, self-improving agents on your account and is honest about what each level actually costs you in time. Claws out.We'll see you in The PPC Den!🦡 Highlights0:00 What's on Claws Out today1:51 The problem with "AI bidding" content2:11 AI is amazing and still a boatload of work3:43 Bloom's Taxonomy: the framework to climb5:06 ACT 1 Level 1: just the Amazon interface6:04 What the interface is good and bad at7:52 Don't automate anything until you have a mental model8:45 Level 2: spreadsheets still a prerequisite?9:38 Bulk files are the one file worth mastering11:08 N-gram analysis on bulk files11:50 ACT 2 Level 3: asking a raw LLM (the worst option)12:16 The canoe problem: AI knows a lot, but it isn't wise13:59 "My ACoS is high, what do I do?" where the nuance dies14:58 Level 4: project-based LLMs and your knowledge base16:14 Level 5: drop a spreadsheet into an LLM17:56 Level 6: two data sources at once the magic starts18:21 Maryna's stock-level dashboard20:25 Level 7: coding agents (and why the line is blurring)22:54 What a skill actually is23:49 Level 8: read-only APIs and MCPs24:52 Buy Box Checker MCP tools in action26:59 No spreadsheets, no interface have AI build your own28:19 Level 9: agentic workflows and the ad waste firewall29:34 The catch: AI is not deterministic30:32 Level 10: memory and the self-improvement cycle31:38 Ad Badger now has its own MCP32:20 Open-source skills and the Badger audit process33:30 Your homework + see you in the Badger Den🦡 Your Homework1. Find your level on the ladder honestly. If you can't explain your budgeting protocol, keyword structure, and auto campaign strategy without opening a tool, you're at Level 1 stay there this week.2. Get good at one bulk file. The legacy sponsored ads reports are being retired; bulk files are here to stay.3. Connect the Ad Badger MCP wherever you already use AI and run a wasted spend audit.4. Get on the Ad Badger email list weekly skill drops and walkthroughs are coming.🦡 Resources & Links🦡 Get Ad BadgerThe N-Gram Analysis ToolAmazon Ads Bulk OperationsUse AI & Spreadsheets to Prevent Stock-Outs📚 FREE Amazon Marketing PlaybookAll show notes-· Host: Michael Erickson Facchin · Senior Producer: Nancy Lili Gonzalez · Podcast Coordinator & Graphic Designer: Sofiia Podash · Editor: Pedro Moreno

Today Mike is joined again by Steve Patenaude the closest thing this show has to a PPC detective to open a case that starts with a boring question and ends somewhere much more interesting: which of your products is actually earning the sale?Amazon has retired the old sponsored product reports. The drag-and-drop builder that replaced them looks like extra homework, and it is but it also hands you two columns the old reports kept apart: the ASIN that was advertised, and the ASIN that was purchased. Put those side by side and the account stops looking like a list of products and starts looking like a set of relationships.Steve found it while doing something ordinary. He was tightening up CM1, CM2 and CM3 to set targets product by product, and the numbers refused to sit still - cross-sales were everywhere, in an account with no parent-child variations at all. In the episode he and Mike build two reports out of that: one that shows what share of each ASIN's ad revenue was really a cross-sale (one product in the sample: 94%), and one that lands on a number almost nobody calculates correctly - true organic sales, business report revenue minus same-ASIN ad sales minus the sales that product picked up as somebody else's halo.You'll also hear why total ACoS per product is usually wrong in both directions, what a 0% same-ASIN product is telling you, the loss-leader SKU trick that pulls shoppers onto a listing, and the stock-out that tanked a hero product's sales - except the hero product was never the one doing the work.We'll see you in The PPC Den!🦡 Highlights00:00 – Intro with Steve Patenaude02:50 – The end of the old sponsored product reports03:43 – The new drag-and-drop report builder04:29 – A client mystery: per-product profit targets06:52 – One report for sponsored products, brands and display07:22 – Advertised product ID vs converted product ID07:59 – The most common total ACoS miscalculation09:01 – The size of the halo without parent-child variations09:31 – The non-hero ASIN driving the traffic12:39 – A lookback window longer than 60 days13:04 – Report 1: cross-sale share by advertised ASIN14:42 – The reasons behind click A, buy B15:48 – The cross-sale engineered on purpose17:38 – The meaning of a 0% same-ASIN product19:52 – The wrong way to read total ACoS per product22:19 – Report 2: the true organic sales formula23:16 – The share of product B's sales that PPC earned27:04 – A rank drop misdiagnosed after a stock-out28:26 – 100% organic vs 10% organic: the levers30:09 – Three dashboards from the new reporting tool🦡 Resources & Links🦡 GET AD BADGERFind Michael Erickson Facchin — Ad Badger's CEO and soul, PPC whisperer, and your go-to guide through the wild world of Amazon advertisingOur guest today is Steve PatenaudePPC Detectives: Solving Amazon's Most Mysterious Performance CrimesWhen Higher Total ACOS Means More ProfitHow to Audit Your Amazon PPC Account Using Bulk Files and Business Reports📚 Unlock our FREE comprehensive Amazon Marketing PlaybookSubscribe to our newsletterTransform your workflow with our comprehensive Amazon Advertising checklistReview all our show notes-Host and Executive Producer: Michael Erickson FacchinGuest Co-Host: Steve PatenaudeSenior Producer: Nancy Lili GonzalezPodcast Coordinator & Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno

Today Mike is joined again by Steve Patenaude, the closest thing this show has to a PPC detective, to open a case that starts with a boring question and ends somewhere much more interesting: which of your products is actually earning the sale?Amazon has retired the old sponsored product reports. The drag-and-drop builder that replaced them looks like extra homework, and it is — but it also hands you two columns the old reports kept apart: the ASIN that was advertised, and the ASIN that was purchased. Put those side by side and the account stops being a list of products and becomes a set of relationships.Steve found it while doing something ordinary — tightening up CM1, CM2 and CM3 to set targets product by product. The numbers refused to sit still: cross-sales were everywhere, in an account with no parent-child variations at all. He and Mike build two reports out of that: one showing what share of each ASIN's ad revenue was really a cross-sale (one product in the sample: 94%), and one that lands on a number almost nobody calculates correctly — true organic sales, business report revenue minus same-ASIN ad sales minus the sales that product picked up as somebody else's halo.You'll also hear why total ACoS per product is usually wrong in both directions, what a 0% same-ASIN product is telling you, the loss-leader SKU trick that pulls shoppers onto a listing, and the stock-out that tanked a hero product's sales — except the hero product was never the one doing the work.We'll see you in The PPC Den!🦡 Highlights00:00 – Intro with Steve Patenaude02:50 – The end of the old sponsored product reports03:43 – The new drag-and-drop report builder04:29 – A client mystery: per-product profit targets06:52 – One report for sponsored products, brands and display07:22 – Advertised product ID vs converted product ID07:59 – The most common total ACoS miscalculation09:01 – The size of the halo without parent-child variations09:31 – The non-hero ASIN driving the traffic12:39 – A lookback window longer than 60 days13:04 – Report 1: cross-sale share by advertised ASIN14:42 – The reasons behind click A, buy B15:48 – The cross-sale engineered on purpose17:38 – The meaning of a 0% same-ASIN product19:52 – The wrong way to read total ACoS per product22:19 – Report 2: the true organic sales formula23:16 – The share of product B's sales that PPC earned27:04 – A rank drop misdiagnosed after a stock-out28:26 – 100% organic vs 10% organic: the levers30:09 – Three dashboards from the new reporting tool🦡 Resources & Links• Get Ad Badger• Michael Erickson Facchin — Ad Badger's CEO and PPC whisperer• PPC Detectives: Solving Amazon's Most Mysterious Performance Crimes• When Higher Total ACOS Means More Profit• How to Audit Your Amazon PPC Account Using Bulk Files• 📚 Amazon Marketing Playbook & Advertising checklist• Our newsletter• All our show notes · Host & Exec Producer: Michael Erickson Facchin · Guest Co-Host: Steve Patenaude · Senior Producer: Nancy Lili Gonzalez · Coordinator & Design: Sofiia Podash · Editor: Pedro Moreno

Amazon started pulling your ad spend straight out of your seller balance on August 1, 2026 no credit card float, no points, no 25-60 day settlement window. In this Claws Out mini-episode Michael breaks down what changed, the new AI image labeling rules you need to follow before your next upload, and why a 3.4 star rating is a bigger threat to your business than any bid you could adjust.Three things, eight minutes, claws out.We'll see you in The PPC Den!🦡 Highlights0:00 - What's on Claws Out today0:15 - Amazon now pulls ad spend from your seller balance0:50 - What you actually lose: credit card points and float1:35 - "Based on feedback" - how this change got here2:00 - New AI transparency rules in advertising2:24 - Amazon's rule: photorealistic AI-generated people3:02 - Demo: tagging an AI image in 30 seconds3:41 - Why you should double-check the tag didn't get stripped4:15 - A real listing that got suspended over this4:39 - A 3.4 star rating is not a PPC problem5:25 - The ACoS math: conversion rate does the heavy lifting6:20 - 4 fixes: images, rating, bullets, price7:08 - Your homework + never stop searching🦡 Your Homework1. Open your payment profile and check how your ad spend is being funded.2. Any listing image with a photorealistic AI-generated person needs the keyword "contains-synthetic-performer" in the dc:subject (XMP) field before you upload it. Real people, non-photorealistic art, and images with no people are exempt.3. If your rating is under 4.5, fix that before you touch your bids.🦡 Resources & Links🦡 GET AD BADGER ➡️ https://www.adbadger.com/pricing-product-tour/- Amazon Is Now Deducting Ad Spend From Your Account Balancehttps://www.adbadger.com/blog/amazon-ads-payment-change-account-balance-deduction/- Break-Even ACoS: The Number That Tells You What You Can Affordhttps://www.adbadger.com/blog/amazon-ppc-education/break-even-amazon-acos/- ACoS on Amazon: The Complete Guidehttps://www.adbadger.com/blog/amazon-ppc-education/acos-amazon/- ACoS Is Lying To Youhttps://www.adbadger.com/blog/acos-is-lying-to-you-why-the-most-watched-metric-in-amazon-ppc-is-also-the-most-misleading/- TACoS vs ACoS: Definition, Formula & Calculatorhttps://www.adbadger.com/blog/amazon-tacos-definition-formula-calculator-tacos-vs-acos/- Amazon PPC Audit Checklist: 9 Checks + Free Templatehttps://www.adbadger.com/blog/amazon-ppc-audit-checklist-9-checks-free-template/- Amazon requires sellers to label AI-generated people (Forbes)https://www.forbes.com/sites/gabrielalinzainescu/2026/07/25/amazon-requires-sellers-to-label-ai-generated-people-in-listing-images/📚 Unlock our FREE comprehensive Amazon Marketing Playbook: https://www.adbadger.com/amazon-ppc-checklist/- Subscribe to our newsletter: https://www.adbadger.com/newsletter/-Host and Executive Producer: Michael Erickson FacchinSenior Producer: Nancy Lili GonzalezPodcast Coordinator & Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno

Today Mike is joined by Dan Head of AMZ Elite, a full-service Amazon consultancy with 20 years of experience, to talk about the thing every AI-curious seller keeps circling: how to stop asking generic AI generic questions.The premise is simple. AI knows a lot about things you don't, but the best operators in any field will laugh at its default advice. The fix is a "second brain" a private, company-specific store of your SOPs, your data, and your hard-won corrections that AI can actually read and act on.Dan walks through what he's built: a news digest that reads his inboxes and YouTube transcripts and boils the week down to two or three pages, an Obsidian vault of markdown SOPs, and a Command Center wired to Amazon that produces a daily triage report the one that caught a campaign spending 4x overnight and flagged the portfolios to drop to a $1 budget after a stock-out. Mike covers how Ad Badger vectorizes its own Google Docs so any team member can query an SOP in plain English from Claude, Google Chat, or ClickUp.You'll also hear the single most useful prompt Dan has ever learned, why summaries alone will cost you the details that matter, and the trap to avoid: don't use AI to invent new work, use it to put work someone is already doing into warp speed.We'll see you in The PPC Den!🦡 HIGHLIGHTS00:00 – Intro with Dan Head of AMZ Elite04:21 – What a "second brain" is, and why default AI advice falls flat08:17 – Dan's news digest: inboxes, YouTube transcripts, Obsidian clips11:32 – The SOP problem in a remote team13:03 – Inside the Command Center and the daily triage report14:52 – What triage caught today: a stock-out and a 4x spend spike15:47 – The simple version: three CSV exports and one SOP17:29 – Saving time, not cutting staff19:32 – Getting a team to actually adopt it21:37 – Obsidian, and a new listing built in 60 minutes25:18 – Giving your AI the keys to do the task27:21 – Keeping SOPs fresh: the 75/125 title change32:53 – Dan's best prompt: drop the bias35:00 – Make your second brain log its own mistakes37:59 – The trap: don't let AI invent work🦡 RESOURCES & LINKS🦡 GET AD BADGERYour host: Michael Erickson Facchin, Ad Badger's CEO and soul, PPC whisperer, and your go-to guide through the wild world of Amazon advertisingOur guest: Dan Head of AMZ EliteDan's first appearance: Three Important Weekly Tasks for Amazon PPCActually Useful Use Cases of AI in Amazon MarketingHow to Combine Organic, PPC & Ranking Data with AI to Optimize Every Amazon KeywordHow to Use AI & Spreadsheets to Prevent Amazon Stock-OutsHow to Audit Your Amazon PPC Account Using Bulk Files and Business ReportsHow to Avoid Micromanaging Your Amazon PPC Team📚 Free Amazon Marketing Playbook & Advertising checklistSubscribe to our newsletterReview all our show notesHost and Executive Producer: Michael Erickson FacchinGuest Co-Host: Dan HeadSenior Producer: Nancy Lili GonzalezPodcast Coordinator & Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno

Today Michael welcomes back Priscilla Wagner of Relentless B2C, Marine Corps veteran, and quite possibly the most spreadsheet-brained guest in Badger Nation. She's been on the show for the visibility death spiral, for classifying keywords by how they actually behave instead of by raw console numbers, and for the custom Excel bidding system Michael still talks about. This time she's opening up her forecasting model.The idea: auditing an account that's already running is the easy version. The data is sitting right there. Forecasting is the hard version, because you're projecting spend and revenue off keywords that have zero performance history attached to them. As Michael puts it, the digital marketer in all of us wants to launch big and find out fast but sitting down to plot it out first is what real businesses do.Priscilla walks through the entire build. Tiering roughly 90 competitors by relevancy using Helium 10 and Claude. Bucketing keywords into core, expansion, branded, and broad discovery. Pulling current impression share straight out of the Search Query Performance report, then picking a lift target that's "big enough to read, small enough to test." She also shares the variable Michael had never seen anyone put in a forecast before: click-through rate and conversion rate decay, because your CTR cannot possibly hold steady as your impression bucket multiplies.And there's a real case study in here. One client's forecast surfaced a buy box problem before a single ad went live so the recommendation wasn't a campaign structure, it was "stop selling to resellers first."We'll see you in The PPC Den!🦡 HIGHLIGHTS00:00 – Welcome back, Priscilla Wagner02:54 – Why forecasting is harder than auditing06:19 – "Are ads just stealing our organic sales?"08:45 – Step one: 90 competitors in Helium 1011:06 – Tiering competitors 1 through 416:30 – Picking a realistic target: 1.5% to 8%18:40 – The four keyword buckets19:50 – Reading impression share in Search Query Performance22:00 – Where CTR and CVR come from with no history25:10 – CTR and CVR decay as impressions grow30:30 – Turning keywords into a starting budget31:20 – Case study: fix the buy box before you spend35:00 – What 3% looks like when 8% is too aggressive39:00 – Everyone has a plan until they get punched42:00 – How often to rerun the forecast🦡 RESOURCES & LINKS🦡 GET AD BADGERFind Michael Erickson Facchin — Ad Badger's CEO and soul, PPC whisperer, and your go-to guide through the wild world of Amazon advertisingFind Priscilla Wagner at Relentless B2C — MBA, Marine Corps veteran, and full-service Amazon PPC + SEO strategist (LinkedIn)Advanced Amazon PPC Bid Optimization📚 Unlock our FREE comprehensive Amazon Marketing PlaybookSubscribe to our newsletterTransform your workflow with our comprehensive Amazon Advertising checklistReview all our show notes🦡 CREDITSHost and Executive Producer: Michael Erickson FacchinGuest Co-Host: Priscilla WagnerSenior Producer: Nancy Lili GonzalezPodcast Coordinator & Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno

In this episode of our podcast, featuring Mansour Norouzi from Incrementum Digital, we focus on forecasting for Amazon PPC. We discuss moving from a flexible spending strategy to a planned one, and how past trends can guide future spending. Mansour will explain how to use tools like Amazon's Product Opportunity Explorer and Category Insights to predict future trends. Join us to learn about the challenges and ongoing learning in Amazon advertising.This episode is a rerelease of one of our most popular episodes. Please note the resources and link section for any relevant updates.We'll see you in The PPC Den!🦡 Highlights0:00 - Guest Introduction: Who is Mansour Norouzi?0:37 - Forecasting Focus: What is forecasting in Amazon PPC?2:30 - How complex is Amazon advertising?3:27 - Why never stop learning?5:44 - What does forecasting really involve?8:55 - How to plan financially for advertising?11:47 - How to determine market share?17:46 - Which tools help understand the market?29:25 - How to empower your Amazon strategy?🦡 Resources & Links🦡 GET AD BADGERFind Michael Erickson Facchin — Ad Badger's CEO and soul, PPC whisperer, and your go-to guide through the wild world of Amazon advertisingWhere to find Mansour: Mansour NorouziIncrementum DigitalHow Does Tracking Keywords Help PPC?How To Develop A Successful Client Relationship?How To Launch Amazon Products That Customers Actually Want?What Amazon PPC Updates Do You Need For 2024?How Can I Build Tasks To Help My Amazon PPC Campaign?How Can I Best Use The Product Opportunity Explorer For My Amazon PPC Campaign?📚 Unlock our FREE comprehensive Amazon Marketing PlaybookSubscribe to our newsletterReview all our show notesCreditsHost and Executive Producer: Michael Erickson FacchinGuest Co-Host: Mansour NorouziSenior Producer: Nancy Lili GonzalezPodcast Coordinator & Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno

Today Michael is coming to you solo  recording from summer vacation in Switzerland to share a presentation he built for his friend Elizabeth Greene's seminar on AI-based optimization for Amazon PPC.The idea: AI is great at combining data. And the hardest part of Amazon PPC has always been that your ad console shows you revenue per click, cost per click, and target ACoS  but it never shows you organic rank, impression share, or search query behavior sitting right next to it. Everything on Amazon is "one big ball mashed together," so it's genuinely hard to know where to lean into momentum and where to pull back.Michael walks through the exact four reports to pull, how to feed them to your favorite AI chatbot (Gemini, ChatGPT, or Claude), and the prompt that turns all of it into a keyword-by-keyword action list  bid up here, cut back there  even if you've never opened a spreadsheet in your life.Get the exact prompt. The full AI prompt Michael references in this episode, the one that cross-references organic rank, search query data, impression share, and ACoS into one action list  is already sitting inside the free Badger Guide to Amazon PPC Checklist. Look for the section called "PPC with Organic Data and AI" on Row 209. We’ll see you in The PPC Den!🦡 Resources & Links00:00 – Intro from summer vacation in Switzerland00:45 – The presentation Michael built for Elizabeth Greene's seminar on AI-based PPC optimization01:30 – Why AI is so good at combining data sources into one PPC "assistant"03:10 – The real problem: Amazon mashes organic, PPC, and ranking into one big ball04:40 – Why goal-setting is still the hardest part of Amazon PPC in 202606:00 – The mastermind presentation (shoutout to Gansa) that started this whole framework07:45 – From manual spreadsheets to AI: what's changed in how Badger builds these reports08:30 – Badger Sheets: what's coming next09:15 – The 4 reports to download: search query performance, brand analytics top-clicked terms, sponsored products search term impression share, and organic ranking data12:00 – Running the prompt and reading your output: strong organic + low ACoS = cut bids13:15 – Your 4 action items to go do this week🦡 Highlights ​​🦡 GET AD BADGER ➡️ Find Michael Erickson Facchin — Ad Badger’s CEO and soul, PPC whisperer, and your go-to guide through the wild world of Amazon advertisingActually Useful Use Cases of AI in Amazon MarketingFree N-Gram Analysis Tool (Google Sheet)How Can I Be The Most Efficient With My N-Gram Analysis?The Exact "Revenue Impact Formula" to Prioritize Your Optimizations📚 Unlock our FREE comprehensive Amazon Marketing PlaybookSubscribe to our newsletterTransform your workflow with our comprehensive Amazon Advertising checklistReview all our show notes-Host and Executive Producer: Michael Erickson FacchinSenior Producer: Nancy Lili GonzalezPodcast Coordinator and Graphic Designer: Sofiia PodashVideo and Audio Editor: Pedro Moreno