
Why Rule-Based Amazon PPC Fails (And What to Do Instead) 💸
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
-
Narrado por:
-
De:
Acerca de esta escucha
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.