You're paying for data you're not using. Every brand-registered seller gets access to Amazon Brand Analytics. Most never open it. The ones who do glance at Search Query Performance once, get confused, and close the tab.
Meanwhile, your competitors are pulling keyword intelligence, demographic breakdowns, and market basket insights that would cost thousands monthly from third-party tools. Amazon gives it to you free. You just have to know where to look.
At OBG, we review Amazon Brand Analytics for every client, every month. It's baked into our Growth Team OS™ workflow. Not because it's trendy. Because it's the only first-party data source that shows what customers actually searched, clicked, and bought.
Third-party tools estimate. Amazon knows.
Why Amazon Brand Analytics Matters More Than Your Third-Party Tools
Here's the uncomfortable truth: most of the keyword data you're relying on is directionally accurate at best. Tools scrape, model, and extrapolate. Amazon Brand Analytics reports actual behavior from actual shoppers.
When Amazon tells you a search term drove 50,000 queries last week, that's not an estimate. That's the number. When they show you which three products got the most clicks from that search, those are the real winners.
This matters because your entire listing strategy—keywords, creative, pricing—should be based on what customers actually do. Not what tools think they might do.
The catch? Amazon Brand Analytics isn't intuitive. The reports are dense. The naming conventions are confusing. And Amazon buries the most valuable insights three clicks deep.
Let's fix that.
Search Query Performance: Your Keyword Conversion Truth
This is the report that changes everything. Search Query Performance (SQP) shows you—for each search term—your impressions, clicks, cart adds, and purchases. Not estimates. Actuals.
Here's what we look for every month:
- High impressions, low clicks: Your main image or title isn't compelling. Competitors are winning the click.
- High clicks, low cart adds: Something on your listing is killing momentum. Usually price, reviews, or bullet points.
- High cart adds, low purchases: Checkout friction. Often a Prime badge issue or competitor running a better deal.
But here's the real power move: compare your conversion rate to the market average. SQP shows both. If the market converts at 8% on a keyword and you convert at 4%, you have a listing problem, not a traffic problem.
This is core to our PPC Lifecycle Framework. During the Re-optimization phase, we pull SQP data for every keyword driving significant spend. If your conversion rate lags the market, we don't pour more money into ads. We fix the listing first.
When we partnered with Blue Forest Holdings, this exact analysis revealed three hero keywords where their conversion rate was 40% below market average. We rebuilt the listing copy around those specific search intents. Revenue doubled, profit tripled in 12 months.
Top Search Terms: Where Your Category Actually Shops
Top Search Terms shows you the highest-volume keywords in your category, ranked by search frequency. Simple concept. Massive implications.
Most sellers use this report once—when they launch. They grab the top 20 keywords, stuff them into their listing, and never look again.
That's backwards. Search behavior shifts constantly. Seasonal trends, competitor launches, and cultural moments all reshape how people search.
Every month, we pull the Top Search Terms report and ask:
- Are there new keywords entering the top 50 that we're not indexed for?
- Which keywords are gaining search frequency rank? Those are emerging opportunities.
- Which keywords are losing rank? Time to reallocate PPC spend.
The click share and conversion share columns are gold. They tell you who's winning each keyword—and how dominant they are. If one ASIN owns 40% of clicks on your primary keyword, you need a differentiation strategy, not a bidding war.
Market Basket Analysis: The Cross-Sell Intelligence Report
Market Basket Analysis shows you what customers buy alongside your products. Not theory. Actual purchase combinations from actual orders.
We use this report for three things:
Bundle opportunities. If 15% of your customers also buy Product X, that's a virtual bundle waiting to happen. Or an A+ Content cross-sell module. Or a Sponsored Display retargeting campaign.
Competitor intelligence. When your product consistently appears in baskets with a specific competitor, customers see you as substitutes. That's a targeting opportunity for Sponsored Products.
Category expansion. Market Basket reveals adjacent categories your customers care about. If your protein powder buyers also buy shaker bottles at high rates, that's your next product line.
Most brands never open this report. The ones who do treat it as a curiosity. We treat it as a strategic roadmap.
Demographics: Know Who Actually Buys
Demographics shows household income, education, age, and gender breakdowns for your purchasers. Again—actual data, not survey projections.
Why does this matter? Because your listing speaks to someone. If you're writing for millennial women and your actual buyers are Gen X men, you've got a messaging mismatch.
We use Demographics to validate or challenge customer avatars. This feeds directly into our Avatar Alignment Framework. Before we split-test listing variants, we need to know who we're writing for. Demographics gives us ground truth.
One fitness brand came to us convinced their customer was a 25-34 female fitness enthusiast. Demographics showed 60% of purchasers were 45-54 males. Completely different pain points. Completely different messaging required.
We rebuilt their listing for the actual buyer. Conversion rate jumped 23% in six weeks.
Repeat Purchase Behavior: The Loyalty Signal
Repeat Purchase Behavior shows what percentage of customers come back and buy again. For consumables and replenishables, this is your most important metric.
Low repeat purchase rates signal one of three problems:
- Product quality issues (check your reviews)
- Subscription friction (is Subscribe & Save set up properly?)
- Competitor win-back (they're targeting your buyers)
High repeat purchase rates tell you to double down on acquisition. Your product does the retention work. Put more money into top-of-funnel.
We check this report quarterly for every client selling consumables. The trends matter more than the absolute numbers. A declining repeat rate is an early warning sign—often visible months before reviews turn negative or sales drop.
How We Use Amazon Brand Analytics Monthly
At OBG, Brand Analytics isn't a one-time audit. It's integrated into our monthly operating rhythm.
Week one: Pull SQP data for all keywords with significant PPC spend. Compare conversion rates to market averages. Flag underperformers for listing review.
Week two: Review Top Search Terms for keyword movement. Identify emerging opportunities. Update keyword targeting in Scale Insights.
Week three: Check Market Basket for new cross-sell opportunities. Update Sponsored Display campaigns accordingly.
Week four: Quarterly deep-dive on Demographics and Repeat Purchase. Validate customer avatar assumptions. Adjust creative strategy if data contradicts assumptions.
This cadence is part of our Growth Team OS™ service. We're not just running ads. We're running a data-driven operating system for your Amazon brand.
The Reports Most Sellers Skip
Search Catalog Performance and Item Comparison are the two most-ignored reports in Amazon Brand Analytics.
Search Catalog Performance shows how your entire catalog performs across all search terms—not just individual ASINs. This reveals cannibalization issues between your own products.
Item Comparison shows which products customers view alongside yours. Different from Market Basket—this is consideration-stage behavior, not purchase behavior. If customers consistently compare you to premium competitors, your pricing and positioning need to reflect that.
These reports take time to interpret. Most agencies skip them. We don't.
Work With OBG
If you want to see how this would work for your brand, book a free strategy session. We'll audit your account, identify the fastest wins, and map out exactly how we'll execute. And if we don't increase your profitability in the first 30 days, you don't pay. Zero risk.