Episode 94 of That Amazon Ads Podcast reviews the new Amazon AI images generator, which turns out to be awful.

Andrew and Stephen test the in-platform image generator on several products and find it mostly pastes the main product photo onto awkward backgrounds, delivering far poorer results than the same prompts run through DALL·E.

They stress that effective lifestyle creatives must place the item in a believable context and note Amazon's tool is "years behind."

A brighter spot is Amazon's AI-driven Business Performance Insights panel, which quickly summarizes year-over-year sales and traffic, though it still lacks deeper context and custom-date flexibility.

They close by envisioning a future AI that can automatically diagnose conversion drops, factoring in competitors and account nuances, and invite listeners to suggest further AI experiments for upcoming episodes.

🎯 Amazon Ads EXPOSED: 7 PPC Myths That Are Wasting Your Money

In this episode of That Amazon Ads Podcast, we’re breaking down 7 of the Biggest Amazon PPC Myths that are draining your budget and hurting your performance. From the false promise of high bids and budgets to the misleading hype around auto campaigns, broad match, and brand defense, we’re setting the record straight with real data, real examples, and a decade of Amazon PPC experience.

💥 If you've ever been told that ACOS is a vanity metric or that changing your bids daily “keeps them alive,” this episode will be a game-changer. Stop wasting ad spend on outdated advice and use proven, data-driven strategies to improve your Amazon PPC performance.

✅ We cover:

Why high bids ≠ more visibility

The truth about broad match and auto campaigns

How product targeting actually works

Why ACOS still matters (a lot!)

The truth about brand defense campaigns

Why daily bid tweaking is just superstition

How to focus on what actually moves the needle

🔔 Enjoying the podcast? Don’t forget to LIKE this video, SUBSCRIBE to That Amazon Ads Podcast, and drop COMMENT with a myth you’ve heard or believed—we might cover it next!

🧠 Listen on the go: Available on Spotify, Apple Podcasts, and everywhere you get your podcasts.

https://youtu.be/vYHtRlSWxyE

📈 Want your Amazon PPC strategy audited? Reach out to us directly!

https://www.linkedin.com/in/stephen-noch

https://www.linkedin.com/in/andrewbailiff

In this episode of That Amazon Ads Podcast, we break down why rule-based automation often lead to wasted ad spend, unpredictable Amazon ad performance, and missed sales.

You'll learn why relying on fixed lookback windows and rigid bid logic is hurting your campaigns—and how to shift toward smarter, formula-based bidding using revenue per click (RPC).

We cover:✅Why the “increase/decrease by X%” model is flawed

✅How to improve ACoS using manual bid adjustments

✅The logic behind dynamic bidding and human-in-the-loop optimization

When rule-based tools work (hint: keyword negation and budget pacing)

Whether you're a seller managing your ads or a pro inside an agency, this episode gives you a practical Amazon PPC strategy you can apply right now. We also show how we use Adlabs or even just good old ads console to run these optimizations more efficiently—without over-automating.