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Amazon PPC Rule-Based Automation ROAS Blind Spots
Description
Lucas and Luna dive into a common but overlooked performance marketing pitfall: over-reliance on rule-based bid automation inside Amazon PPC. They break down why simplistic 'if performance metric > X, then adjust bid by Y%' logic often destroys ROAS at scale, especially in categories with volatile search term dynamics. Using a real-world example of a supplement brand that saw ACOS jump from 22% to 41% after setting a seemingly sensible rule to increase bids on high-converting terms, they explain the hidden feedback loops and metric lags that turn automation against you. The episode covers alternative approaches like portfolio-level pacing and manual review cadences. Perfect for advertisers who want to keep automation as a tool, not a crutch.