Why Rule-Based Amazon PPC Fails (And What to Do Instead) 💸
from That Amazon Ads Podcast Hosted by Stephen Noch and Andrew Bailiff
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.
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