Amazon Brand Analytics: What Your Data Is Telling You

Amazon Brand Analytics is like having a private investigator on your payroll — one who watches every customer interaction with your listing, tracks what shoppers searched before they found you, notes what they bought instead when they didn't, and then hands you a complete report. For free. Every week. [Adjusts imaginary trench coat.]

Most brands have access to it and use it approximately never. This is the Amazon equivalent of having a smoke detector and using it as a Frisbee. The data is there. The window to open Seller Central and look at it is, genuinely, about fifteen minutes per month. And yet.

If you just ran Prime Day — great, you have an even better reason to read this right now. Brand Analytics contains what your entire promotional spend just revealed about your customers, your competitors, and your organic standing. That data starts aging the moment you stop looking at it.

Let's go through what's actually in there and what to do with it.

What Is Amazon Brand Analytics (And Who Gets It)

Amazon Brand Analytics is a reporting suite inside Seller Central, available at no cost to sellers enrolled in Amazon Brand Registry. You need an active registered trademark to qualify for Brand Registry. If you're enrolled, find Brand Analytics under Brands → Brand Analytics in Seller Central. If you're a vendor, it's under Vendor Central → Brand Analytics.

The suite includes five main reports:

• Search Query Performance — shows impression share and click share for search queries associated with your brand
• Market Basket Analysis — the top products bought in the same session as yours
• Repeat Purchase Behavior — new vs. repeat customer breakdown for your ASINs
• Item Comparison and Alternate Purchase — what shoppers viewed instead of you, and what they bought when they left
• Demographics — age, income, gender, and education of your buyers

Each report refreshes on its own schedule — some weekly, some monthly. We'll cover the cadence as we go through each one. The important thing: none of this costs you anything beyond the Brand Registry enrollment you probably already have. The data is generating whether you look at it or not. [Narrator: They did not look at it.]

Search Query Performance: Your Organic Rank Report

This is the most actionable report in the suite and the one most brands underuse. Search Query Performance shows you — for any search term associated with your brand — how often you appear in results (impressions), how often you get the click (clicks), how often you get added to cart, and how often you convert. All broken out by branded vs. non-branded queries.

Here's why it matters: your Search Term Report tells you what keywords triggered your ads. Search Query Performance tells you what share of the total search demand you're capturing — with and without ads. Those are completely different things, and the gap between them is where your growth opportunity lives.

Say you're seeing 3.2% impression share on "whey protein isolate" — a high-volume non-branded term. That means 96.8% of shoppers searching for that term aren't even seeing you. Now the question is: is that because your organic rank is buried, or because your listing isn't indexing for the term? Search Query Performance, paired with your ad data, tells you which problem you have.

Use it weekly. The report refreshes weekly. Filter for your top non-branded terms (the ones you're currently spending on in ads), check your click share against the category leaders, and ask yourself: where are we losing the click, and is it a bidding problem or a listing problem? If you need a refresher on connecting this to your ad structure, the most common PPC mistakes we see usually start here.

Market Basket Analysis: What People Buy With You

Market Basket Analysis shows the three products most frequently purchased in the same transaction as each of your ASINs. This sounds simple. It is not.

Think about what that list reveals. If your magnesium supplement consistently appears in baskets with a competitor's sleep stack, you have two things happening at once: (1) you're probably viewed as a complement to their product, not a substitute, which is actually useful — you're solving a different part of the sleep problem — and (2) you have a bundle opportunity sitting right in front of you that you're not taking.

If your protein powder keeps appearing in baskets with products from a direct competitor? That's a substitution signal. The customer bought both — probably one of yours and one of theirs — which means they're comparison-shopping and they're not exclusively loyal to you. [Takes a moment to sit with that.]

The report refreshes monthly. Check it once a month and ask three questions:

1. Are the products in my customer's basket complements or substitutes?
2. Is there a bundle opportunity I could create (or already have)?
3. Am I consistently appearing alongside specific competitors — and if so, why is my customer still buying both?

The third question is often the most revealing. If you see the same competitor ASIN appearing in your customer's basket month after month, that competitor is succeeding in a comparison where your brand is not winning exclusively. That's a positioning or listing problem worth investigating.

Repeat Purchase Behavior: The LTV Signal

Repeat Purchase Behavior breaks down every ASIN by new vs. repeat customer split — the percentage of your orders coming from customers who have bought from you before. It also shows units per order and repeat order rate within 90 days.

This is the LTV signal Amazon gives you for free, and it changes the math on almost everything else you're doing.

A brand with 55% repeat purchase rate has a fundamentally different business than a brand with 12%. The 55% brand can afford higher acquisition costs because customers come back and amortize the initial spend. The 12% brand is on a constant acquisition treadmill — every sale has to justify itself immediately because there's probably no second sale.

Check this report by ASIN, not just at the brand level. You'll often find that one or two ASINs have significantly higher repeat rates than the rest — which tells you something important about which products build loyalty versus which ones are one-and-done purchases. Double down on whatever makes the high-repeat ASINs different.

Item Comparison and Alternate Purchase: Your Real Competitors

This report has two halves. Item Comparison shows the top five products customers view when they view your listing in the same session. Alternate Purchase shows the top five products customers buy when they view your listing and don't buy your product.

[Adjusts imaginary reading glasses.] Let me be direct about what Alternate Purchase is: it's a list of the competitors who are beating you at the exact moment of decision. Not who you think your competitors are. Who your customers actually choose instead of you.

Brands are often surprised by this list. They expect to see other premium brands in the category. They find that a store-brand or a significantly cheaper product is winning the conversion — which means price is more competitive in this decision window than expected. Or they find a competitor with 4.7 stars consistently beating their 4.3, which makes the review gap the obvious lever to pull.

How to Read Your Prime Day Data in Brand Analytics

If Prime Day just wrapped, you have a limited window to extract what it actually taught you before the signal gets stale. Here's the Brand Analytics review to run right now.

First: Repeat Purchase Behavior during the event period. Pull this report filtered to the Prime Day weeks. What was your new vs. repeat customer split? If you ran deep discounts and saw a spike in orders, but 85% of those buyers were new customers — that's actually useful to know. Those customers cost you (discounted margin plus ad spend to drive them). The question Brand Analytics answers is: will they come back at full price? Check again in 30 days. If your repeat rate on Prime Day buyers is high, the discount strategy was worth it. If it's low, you essentially ran a massive one-time sale with no retention tail.

Second: Search Query Performance during and after the event. Pull the weekly views covering the Prime Day period. Which non-branded terms saw your impression share spike? Where did you gain click share, and where did competitors hold their position? This tells you which category terms Amazon's algorithm promoted you for based on velocity — and which terms you're still losing organically. Those organic gaps are your next Amazon SEO priorities.

Third: Item Comparison in the weeks following. Did new competitors appear in your comparison set post-Prime Day? A surge in traffic sometimes surfaces competitors you hadn't seen before — brands that ran aggressive ads during the event and are now appearing alongside you in customer browsing sessions.

Three Brand Analytics Mistakes That Cost Real Money

You've heard what the reports show. Here's where brands consistently leave money on the table.

Mistake 1: Checking it quarterly instead of on the report's own refresh cadence. Search Query Performance and Item Comparison refresh weekly. If you're opening Brand Analytics quarterly, you're looking at data that's 10-12 weeks old by the time you act on it. A competitor surge, a listing change that's tanking your click-through rate, a new term you should be bidding on — all of these need a weekly eye, not a quarterly retrospective.

Mistake 2: Reading it at the brand level instead of the ASIN level. Brand-level aggregates flatten everything interesting. Your 60% repeat purchase rate at the brand level might be hiding two ASINs with 85% repeat rate and three with 15%. The ASIN-level view tells you which products are actually building your business and which ones are acquisition costs with no tail. Filter everything by ASIN.

Mistake 3: Not connecting Brand Analytics to your PPC data. Brand Analytics without the search term report is like having the market map but not the route. Search Query Performance tells you the total demand and your share of it. Your Search Term Report tells you which terms you're currently bidding on and what's converting. The two together tell you: where are you buying clicks that organic rank could deliver for free, and where are you leaving demand entirely uncaptured? The gap between paid click share and organic impression share on the same term is your single most actionable number in Seller Central.

If you run this analysis and find a term where you're spending heavily on ads but have low organic click share, that's a listing relevance problem — not a bidding problem. The most common Amazon PPC mistakes often start with exactly this confusion: fixing bids when the problem is the listing.

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