
Sign up to save your podcasts
Or


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
âś…How to improve ACoS using manual bid adjustments
âś…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.
By Stephen Noch and Andrew Bailiff5
2828 ratings
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
âś…How to improve ACoS using manual bid adjustments
âś…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.

229,694 Listeners

2,620 Listeners

313 Listeners

211 Listeners

42 Listeners

98 Listeners

528 Listeners

145 Listeners

2,662 Listeners

37 Listeners

10,258 Listeners

64 Listeners

20,272 Listeners

13 Listeners

95 Listeners