In this episode of "That Amazon Ads Podcast," Stephen and Andrew address a question from a user named Craig about optimizing Amazon ad bids. Craig inquires about the frequency and date range for bid optimization after an initial adjustment. Stephen and Andrew discuss the importance of considering spend trends, sales attribution delays, and optimization settings (like max increase/decrease percentages). They advise against solely relying on data since the last optimization and suggest using a longer timeframe (14-30 days) for more data confidence. They also touch on micro versus macro adjustments, the pitfalls of optimizing placements with short timeframes, and why a revenue-per-click approach is superior to waiting for a specific number of clicks before re-optimizing.
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