Most Amazon PPC managers use Brand Analytics the same way tourists use a map. Th
By George Barnett Reid 👀 · March 8, 2026 · Curated by George's Blog
Most Amazon PPC managers use Brand Analytics the same way tourists use a map. They open it, glance around, and close it.
Search Query Performance data is one of the most powerful datasets Amazon has released. The operators we work with use it to run a structured funnel audit across their top 50 to 100 queries every week.
For each query, they identify where the funnel is breaking.
High impressions and low clicks indicate a creative issue. Increasing bids will not fix a weak main image or an unclear title.
Strong clicks but low add to carts usually mean the listing is not aligned with the search intent. Increasing PPC spend will not solve a positioning mismatch.
Healthy add to carts but low purchases suggest you are winning consideration but losing at the final decision stage. This requires a different intervention, such as pricing, reviews, or offer structure.
If the query performs well across the entire funnel, then it should be scaled and protected. Impression share on those terms becomes a priority.
This type of segmentation changes budget allocation decisions. You stop pushing spend into queries where the listing cannot convert and focus on queries where the funnel already works.
Many managers optimize bids first. Strong operators diagnose funnel behavior before adjusting CPCs.
If you are managing PPC at scale, the question is not whether you are looking at Search Query Performance data. The question is whether you are using it to identify structural bottlenecks or simply reviewing it alongside an ACoS report.
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