SQP Analysis

Amazon PPC and Search Query Performance analysis: use SQP beside ad reports.

Search Query Performance shows how shoppers move from impression to click, cart, and purchase. PPC reports show how paid traffic behaves. Together, they help explain whether the keyword problem is visibility, click appeal, conversion, or competitiveness.

Amazon PPC and Search Query Performance dashboard showing impressions, click share, cart share, purchase share, PPC spend, rank, and keyword actions

Amazon PPC and Search Query Performance Analysis: step-by-step method

Use this method to turn amazon ppc and search query performance analysis into cleaner keyword control instead of random negative and bid changes. The aim is to move from raw Amazon Ads data to a written action list: what to protect, what to reduce, what to test, and what to review again.

  1. 1. Export reports: Use enough data for decisions.
  2. 2. Sort by spend: Find where budget is moving.
  3. 3. Tag intent: Separate relevance from waste.
  4. 4. Check orders: Avoid reacting to thin data.
  5. 5. Harvest winners: Move converting terms to exact.
  6. 6. Block waste: Use negatives carefully.
  7. 7. Review rank: Check if terms support visibility.
Amazon PPC and Search Query Performance Analysis step-by-step workflow for Amazon private label PPC decisions
Amazon PPC and Search Query Performance Analysis workflow: read the signal, choose the action, and review the result after enough data.

How to choose the next action

Do not treat one metric as the whole answer. For every change, read the metric beside campaign purpose, search intent, listing readiness, rank movement, and profit. This prevents cutting useful traffic just because one report looks uncomfortable.

Amazon PPC and Search Query Performance Analysis decision tree showing how to choose the next Amazon PPC action
Decision tree for Amazon PPC and Search Query Performance Analysis: scale proven signals, control weak signals, and wait when data is too thin.
Quick read

A detailed guide to using Amazon Search Query Performance data with PPC reports for keyword, ranking, conversion, and share decisions.

What SQP adds to PPC reporting

PPC search terms show ad spend, clicks, orders, and ACoS. SQP adds total market behavior: impressions, clicks, cart adds, purchases, and share. This helps you see whether the product is losing at the click stage or purchase stage.

Click share vs purchase share

If click share is low, the offer may not be winning the search result. Improve main image, title, price, coupon, and review proof. If click share is good but purchase share is weak, shoppers may click but choose another product after comparison.

Using SQP for keyword priority

A keyword with strong query volume and improving purchase share may deserve more PPC support. A keyword with many impressions but weak click and purchase share may need listing work before more ad spend.

Connect SQP to ranking campaigns

For ranking campaigns, use SQP to see whether paid visibility is improving shopper behavior beyond ad-attributed sales. If organic rank improves but purchase share stays weak, the listing may still be losing the comparison.

SQP workflow

Export SQP, compare with PPC search terms, identify priority queries, map each query to click share and purchase share, then decide whether to improve listing, increase PPC, lower bids, or stop pushing the term.

Practical checklist

  • Review the data by campaign purpose before making changes.
  • Separate discovery, ranking, defense, and exact winner campaigns.
  • Check search terms, placements, budgets, conversion rate, and rank movement together.
  • Write the next action clearly so the account does not drift.
  • Recheck results after enough clicks and orders have collected.

Decision table

SQP signalMeaningAction
Low click shareWeak search appealImprove image/title/price
High clicks low purchasesPDP conversion issueFix offer
Purchase share risingKeyword fit improvingSupport with PPC
High PPC spend low SQP shareCompetitive gapReassess
Cart share highConsider couponImprove close rate
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