SQP (Search Query Performance) - Amazon Glossary

SQP (Search Query Performance) is an advanced analytics dashboard available within Amazon Brand Analytics that provides aggregate funnel data for a brand's top search terms. It tracks consumer behavior from the initial search query down to impressions, clicks, cart additions, and final purchases for specific branded products.

Analyzing this dashboard directly safeguards your bottom-line profitability by eliminating blind guesswork in your advertising and inventory planning. Understanding your exact share of market actions allows you to maximize your ad spend efficiency, reduce customer acquisition costs, and protect your brand's market share against aggressive competitor conquesting.

Why Does Search Query Performance Matter?

Sellers enrolled in the Brand Registry program gain access to this dashboard to uncover the exact path customers take before buying. Unlike traditional metrics that only show your internal listing performance, SQP reveals how your catalog stacks up against the entire market for a specific keyword. If your products are losing traction, this data provides the diagnostic clarity needed to reverse the decline before your overall search visibility decays.

By monitoring the entire conversion funnel, you gain immediate visibility into exactly where potential buyers drop out. This protects your operational cash flow. Instead of spending thousands of dollars rewriting listings or lowering retail prices blindly, you can target specific weaknesses. For example, if your impressions are high but clicks are low, you know your main image or price requires adjustment. If your cart additions are strong but purchases drop, checkout friction or shipping speeds are likely the primary issues.

Furthermore, the dashboard tracks the absolute Search Volume of queries over rolling daily, weekly, monthly, and quarterly windows. This first-party data is inherently superior to third-party software estimations because it originates directly from Amazon's internal search engine. Relying on verified performance metrics ensures your marketing campaigns align precisely with active consumer demand, optimizing your return on investment.

How Do You Calculate Funnel Metrics in SQP?

While Amazon provides raw counts for total market actions and your specific brand actions, professional operators use these values to isolate their exact market dominance. A key evaluation is the Brand Purchase Share, which measures your conversion capture for a target query relative to all competing products.

The mathematical formula for calculating this metric is: $$ \text{Brand Purchase Share} = \left( \frac{\text{Brand Purchases}}{\text{Total Market Purchases}} \right) \times 100 $$

To interpret this formula correctly, you must analyze the relationship between your Click Share and your Conversion Share for the identical query. If your purchase share tracks significantly lower than your click share, it signals that your product detail page fails to satisfy customer intent as effectively as your rivals, requiring immediate copywriting or optimization changes.

Sellers also track the baseline Purchase Rate of a keyword, which reveals the overall transaction density of the market segment. This helps distinguish between high-volume browsing terms and highly transactional phrases, ensuring your product launch budgets focus exclusively on terms capable of returning consistent sales velocity.

How Does Fulfillment Choice Impact SQP Data?

The structural logic of the SQP dashboard does not change based on your logistics framework, as it aggregates all organic and sponsored searches across the entire marketplace. However, your chosen fulfillment model heavily influences the actual funnel percentages your products capture.

Fulfillment by Amazon (FBA)

Third-party FBA merchants typically experience significantly higher conversion metrics within the dashboard. The presence of the Prime shipping badge drastically improves a listing's conversion dynamics once a customer clicks through from the search results. Because modern buyers demand rapid, predictable delivery, FBA inventory naturally captures a higher proportion of cart additions and completed purchases, helping your brand maintain a dominant position across top-performing search funnels.

Fulfillment by Merchant (FBM)

FBM operators frequently face a steep drop-off between their click share and purchase share within SQP analytics. Without default Prime eligibility, consumer hesitation increases during the final phases of the checkout funnel. FBM sellers must offset this systemic conversion drag by offering highly competitive retail pricing or unique multi-unit configurations, ensuring their lower overhead costs translate into a compelling value proposition that overrides shipping latency.

Real-World Operational Scenarios

In Practice

For a 2lb product in the Home & Kitchen category (specifically a premium silicone baking mat) a brand owner reviews their monthly dashboard data. They discover the primary search term "silicone baking mat" has a massive volume, and their product captures a 12% impression share. Their click share stands at a healthy 10%, but their purchase share drops to a mere 2%. Recognizing this steep funnel decay, the seller reviews the listing and realizes a top competitor is offering a multi-pack at a better value. The brand owner updates their listing to a dual-pack format and optimizes their bullet points. The following month, their purchase share rebounds to 9%, stabilizing their daily revenue.

Common Mistake

A competing merchant sells an identical silicone baking mat but relies entirely on third-party estimation software instead of official first-party dashboard analytics. The software claims a specific long-tail keyword has incredible volume, prompting the seller to reallocate their entire pay-per-click advertising budget toward it. They burn through their monthly marketing capital in five days, generating thousands of random Impressions but zero meaningful sales. Had they verified the term within the official dashboard, they would have seen that the total market purchases for that query were near zero, meaning they spent their entire acquisition budget chasing non-transactional traffic.

What Is the SoldScope Expert Tip for SQP Analysis?

The most valuable, non-obvious strategy within the dashboard is identifying what elite operators call "Cart Abandonment Queries." Filter your search term reports to isolate keywords where your brand captures an exceptionally high cart addition share (such as above 15%) but a disproportionately low purchase share (such as under 3%). This mathematical discrepancy proves that your main image, title, and initial review rating are highly compelling because customers are actively adding your item to their shopping carts.

The drop-off at the final purchase stage indicates a friction point that only becomes visible right before checkout. On Amazon, this is almost always caused by hidden shipping fees, extended delivery dates, or aggressive retargeting ads placed by competitors directly on your product detail page. If you discover a cart abandonment query on an FBA listing, check your active inventory distribution immediately. Amazon may be transferring your stock between regional warehouses, causing the delivery estimate shown to consumers to stretch out to seven days. Temporarily lowering your price or running a targeted coupon can help bridge this delivery latency, protecting your conversion velocity and preventing buyers from abandoning your cart for a faster alternative.

How SoldScope Helps

SoldScope replaces manual spreadsheet analysis and fragmented data compilation with automated, API-integrated workflows, serving as the central command center for professional brand owners. Sellers utilize the Keyword Research tool to cross-reference their first-party dashboard metrics with broader competitor trends, ensuring their search engine optimization strategies are mathematically sound. Additionally, by deploying the Rank Tracker, brands can continuously monitor their organic and sponsored search visibility for top-performing queries, ensuring their daily listing exposure aligns precisely with the high-conversion paths identified within the funnel data.