Best Practices for Amazon Brand Analytics in 2026
Connor Mulholland
Brand Analytics is one of Amazon's most powerful tools for brand-registered sellers, but most underuse it because the data is hard to access and act on manually. The key reports are Search Query Performance (SQP), Top Search Terms, and Repeat Purchase Behavior. Automating Brand Analytics reporting transforms this data from a monthly spreadsheet exercise into actionable competitive intelligence.
What is Amazon Brand Analytics?
Amazon Brand Analytics is a free data suite available exclusively to sellers enrolled in Amazon Brand Registry. It provides first-party search and consumer behavior data that isn't available from any third-party tool — because it comes directly from Amazon's own systems, not estimates or approximations.
The data includes how shoppers search for your products, which search terms drive the most purchases, how you compare to competitors on key terms, customer demographics, and repeat purchase patterns. This is the same data that Amazon's own retail team uses to make merchandising decisions.
Most sellers know Brand Analytics exists but significantly underuse it. The typical seller logs in once a month, downloads a CSV, glances at it, and forgets. The sellers who gain competitive advantage from Brand Analytics check it weekly, track changes over time, and use the data to drive specific advertising and listing decisions.
Who can access Brand Analytics?
Requirements: Amazon Brand Registry enrollment, which requires a registered trademark (®) or pending trademark in certain countries. Brand Registry is free once you have the trademark. The trademark itself costs $250-350 for a US filing and takes 6-12 months to process.
If you're not yet brand registered, start the trademark process immediately — the 6-12 month timeline means every month you delay is a month you're missing critical data. In the meantime, use third-party tools for keyword research, but know that they're providing estimates, not Amazon's actual search data.
Search Query Performance (SQP) — the most valuable report
The Search Query Performance report is the crown jewel of Brand Analytics. It shows a complete funnel for every search term that leads to your products:
| Metric | What It Shows | How to Use It |
|---|---|---|
| Impressions | How often your product appeared in search results for this term | Measures your visibility. Low impressions = ranking issue or low bid |
| Clicks | How many times shoppers clicked your product from search results | Low click-through rate = title or main image issue |
| Cart Adds | How many shoppers added your product to cart after clicking | Low cart rate = pricing, bullet point, or secondary image issue |
| Purchases | How many shoppers completed the purchase | Low purchase rate from cart = checkout friction or competitor comparison loss |
| Click Share | Your percentage of total clicks for this search term | Competitive positioning metric. Track weekly for share gains/losses |
| Conversion Share | Your percentage of total purchases for this search term | Are you converting visitors better or worse than competitors? |
The funnel analysis: Where shoppers drop off tells you exactly what to fix. If impressions are high but clicks are low, your title or main image isn't compelling enough in search results. If clicks are high but cart adds are low, your listing page isn't persuasive — check bullet points, pricing, and secondary images. If cart adds are high but purchases are low, something is happening between cart and checkout — price comparison, shipping speed, or a competitor's coupon.
This level of diagnostic precision is impossible with any other data source. Third-party tools can estimate search volume, but only SQP shows your actual conversion funnel by search term.
Top Search Terms report
Shows Amazon's most-searched terms with click share and conversion share by brand. This reveals the competitive landscape at the keyword level:
- Category dominance: Which brands own the most click share on your key terms? If one competitor has 30% click share on your top keyword and you have 5%, you know exactly where to focus investment.
- Market trends: Track how search terms grow or decline over time. "Bamboo cutting board" gaining impressions while "wooden cutting board" declines signals a material preference shift you should capitalize on.
- New entrants: When a new brand suddenly appears with 10% click share on your terms, investigate immediately. Are they outbidding you in PPC? Did they launch a better product? Early detection prevents market share erosion.
Repeat Purchase Behavior report
Which products customers buy again and how often. This report is critical for consumable, supplement, beauty, and any replenishable product category.
Key metrics:
- Repeat purchase rate: What percentage of customers buy the same product again? Category benchmarks: Supplements 30-50%, Beauty 20-35%, Food/Grocery 25-40%, Kitchen goods 5-15%.
- Time to repurchase: How many days between first and second purchase? This tells you when to target with advertising and when to set up Subscribe & Save pricing.
- Cross-purchase behavior: Do customers who buy Product A also buy Product B from your catalog? This reveals bundling opportunities and catalog expansion priorities.
If your repeat purchase rate is significantly below category average, it signals a product quality or customer satisfaction issue. Check negative reviews for patterns and compare your product to competitors that have higher repeat rates. For strategies on building repeat customers, see our replenishable product strategy guide.
Demographics report
Age, income, education, and gender breakdowns of your buyers. This data is uniquely valuable because no third-party tool has access to Amazon's actual buyer demographics.
Practical applications:
- Advertising targeting: If 70% of your buyers are women aged 25-44 with household income above $75K, target Sponsored Display and DSP campaigns to that demographic profile.
- Product development: Demographics reveal who's buying, which informs what products to develop next. A skew toward higher income suggests room for premium product extensions.
- Listing copy optimization: Write to your actual audience, not your assumed audience. If your "men's grooming" product is actually purchased 40% by women (as gifts), your copy should acknowledge both audiences.
- External marketing: If you run external traffic (Google Ads, social media, influencer marketing), Brand Analytics demographics ensure your targeting matches your actual customer base.
Search Catalog Performance report
How your catalog performs in search versus browse. This report shows whether customers find you through active search (typing keywords) or passive browsing (clicking through categories, recommendations, and "frequently bought together" sections).
The ratio matters for budget allocation: if 80% of your traffic comes from search, invest heavily in PPC and keyword optimization. If 30% comes from browse, your product is getting recommended organically through Amazon's recommendation engine — protect this by maintaining strong conversion rates and positive reviews.
Automate this with Jarvio; no coding required.
Start free trialUsing Brand Analytics for product decisions
Brand Analytics reveals opportunities that other tools miss entirely because it shows real search demand and conversion data, not estimates:
Find keyword gaps
Search terms where you have high impressions but low clicks. These are terms where shoppers see your product in results but don't click. Diagnosis: your title or main image isn't compelling enough relative to competitors on that search result page. Fix: update your main image and front-load the keyword in your title.
Identify competitor weaknesses
Terms where competitors have high click share but low conversion share. This means shoppers click on the competitor but don't buy. Their listing doesn't satisfy the search intent — an opportunity for a better-positioned product or listing.
Discover new product opportunities
High-volume search terms with fragmented click share (no brand above 15%). This signals an underserved market where no product fully satisfies customer needs. Launch a product specifically designed to dominate that search term.
Validate expansion directions
Use cross-purchase data to identify which product categories your customers also buy from. If 25% of your cutting board customers also buy a knife set, a knife set is a natural catalog extension with built-in demand from your existing customer base.
Using Brand Analytics for advertising
Brand Analytics data directly informs and improves your PPC strategy:
- High-converting keywords to add: SQP shows which search terms actually result in purchases, not just clicks. Add high-purchase terms to your exact match PPC campaigns.
- Wasteful keywords to negate: Terms with high impressions and clicks but zero purchases indicate your product doesn't match the search intent. Negate these to eliminate wasted spend.
- Organic vs. paid balance: If you have strong organic click share on a term (>20%), consider reducing PPC bids on that term and reallocating budget to terms where you need paid visibility.
- Competitive bidding intelligence: When a competitor suddenly gains click share, they've likely increased PPC spend. Decide whether to counter-bid or find alternative keywords where competition is lower.
- Sponsored Brands targeting: Top Search Terms data reveals which category keywords have the highest search volume — ideal for Sponsored Brands headline campaigns that build brand awareness.
The advertising insights from Brand Analytics are more valuable than most paid PPC tools provide because they come directly from Amazon's actual search data — not third-party estimates. For a comprehensive PPC strategy, see our 2026 PPC guide and SQP report deep dive.
Competitive intelligence from Brand Analytics
Brand Analytics is one of the most powerful competitive intelligence tools available to Amazon sellers because it shows real market share data, not estimates:
| Intelligence Type | What to Track | Action Trigger |
|---|---|---|
| Click share movement | Weekly click share by term for top 3 competitors | Competitor gains 5%+ share in one week |
| New market entrants | New brands appearing on your key terms | Any new brand reaching 5%+ click share |
| Conversion efficiency | Competitor conversion share vs. click share | Competitor converting at 2x+ their click share |
| Search term trends | Growing/declining search volume by term | 20%+ month-over-month change |
| Seasonal patterns | Year-over-year term trends | Unusual deviation from seasonal norms |
Automating Brand Analytics reporting
Most sellers check Brand Analytics once a month, if at all, because navigating Seller Central's reporting interface is tedious and time-consuming. The data is powerful but the access friction is high. Automation solves this completely:
With Jarvio, Brand Analytics becomes a competitive weapon instead of a neglected dashboard. The AI pulls data on schedule, identifies trends that matter, and surfaces opportunities you'd miss in a manual review.
Common Brand Analytics mistakes
- Ignoring Brand Analytics entirely. Free first-party data that most competitors aren't using systematically is a competitive advantage. Not using it is leaving money on the table.
- Checking too infrequently. Monthly reviews miss rapid competitive shifts. A competitor launching aggressive PPC on your key terms will have 4 weeks of market share gains before you notice. Weekly checking (or automated alerts) catches changes when they're still small.
- Not connecting data to action. Seeing that a competitor gained 8% click share on your top keyword but not adjusting your PPC bids, listing copy, or pricing in response makes the data useless. Every insight should trigger a specific action.
- Only looking at your own data. Competitor share data is equally valuable and shows you where the opportunities are. A competitor's loss is your potential gain — but only if you see it and act on it.
- Confusing correlation with causation. Click share declining doesn't always mean your listing got worse — it could mean a new competitor entered or seasonal demand shifted. Always investigate before making changes.
- Not tracking trends over time. A single snapshot is less useful than a trend. Track your key metrics weekly in a spreadsheet or automated report to identify patterns, not just current values.
Automate this with Jarvio; no coding required.
Start free trialFrequently asked questions
What is Amazon Brand Analytics?
Do I need Brand Registry for Brand Analytics?
How often should I check Brand Analytics?
Can I automate Brand Analytics reports?
What's the most valuable Brand Analytics report?
Is Brand Analytics data accurate?
Connor Mulholland
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