Some of the brands we're helping on Amazon
CentralDesk pulls Amazon's Brand Analytics data and lays it out the way an operator actually wants it. Search Query Performance, branded vs competitor vs generic. Per-ASIN Catalog Performance funnels that show where you lose shoppers. Market Basket co-purchase pairs that surface bundle and ad-targeting opportunities. Everything in one place, refreshed weekly, joined against your real ad data.
Some of the brands we're helping on Amazon
Brand Analytics, inside Amazon Seller Central, hands brand-registered sellers some of the most valuable customer-behavior data in retail: what shoppers search, how they move through your listing's funnel, and what they buy alongside your products. Then it buries all of it behind a clunky filter UI, one-week-at-a-time exports, and zero context about your own ads. CentralDesk pulls that data weekly, organizes it by brand vs competitor vs generic, walks each product's search funnel, maps co-purchase pairs, joins it against your PPC search-term reports, and lays everything out the way you'd actually use it.
Every search term shoppers used to find a product like yours, bucketed three ways: branded (your name in the query), competitor (a rival's name in the query), and generic (everything else). For each bucket you see impressions, clicks, cart adds, and purchases. You can configure the branded and competitor term lists yourself.
Within a few minutes you can see: are you converting on your own brand, or losing it? How much of your category's demand is going through competitor-branded searches? Which generic terms are driving real volume versus which are vanity impressions?
Brand-registered Amazon accounts only.
Start a free trial →The same Brand Analytics data, broken out per ASIN. For each product you see the search terms driving impressions to it, click-through share, purchase share, and where you rank for each one. Sortable, filterable, and exportable.
The view to open when you want to know: what is THIS product actually showing up for? Surface long-tail terms you're converting on at 30%+ that you haven't bid on yet, and the high-volume terms where you're getting impressions but losing the click.
Covers the most recent 60 days of available data, refreshed weekly.
Start a free trial →For every one of your products, the full search funnel in one row: impressions, clicks, cart adds, and purchases, with click and conversion rates and median price at each stage. Refreshed weekly from Brand Analytics.
The point isn't the numbers, it's where the funnel leaks. CentralDesk flags each product by the stage that's losing shoppers: a weak click rate on strong impressions is a search-tile problem (image, title, price); good clicks but weak conversion is a detail-page problem (content, reviews, price); cart adds with no purchases is a checkout problem. Every product is also marked against your catalog's own baseline.
Tells you what to fix, not just what happened.
Start a free trial →What do customers buy in the same order as your products? Market Basket reveals the co-purchase pairs Amazon sees, refreshed weekly, and sorts them by how strongly each companion leads the basket.
Each pairing is tagged automatically. Cross-sell pairs (both products are yours) point to Virtual Bundles or own-page Sponsored Display. PPC targets (the companion is a competitor's product) point to a Sponsored Products product-targeting campaign on that external listing. The strongest, clearest pairings are surfaced as recommended actions with the exact setup spelled out.
Turns "people also bought" into ad targets and bundle ideas.
Start a free trial →The unique part. CentralDesk joins Brand Analytics search demand against your own PPC search-term reports to surface four kinds of opportunity:
Whitespace · high-volume search terms with strong organic purchase share where you have no PPC presence.
Conversion gaps · terms you're getting clicks on but not converting, where competitors are.
Cannibalization · branded terms where your ads are eating clicks you'd have won organically.
Graduation candidates · long-tail auto-campaign winners ready to promote to exact-match.
Requires both Brand Analytics access and an Amazon Ads connection.
Start a free trial →Brand Analytics is the kind of data you want to interrogate, not browse. Connect Claude or another MCP-aware AI assistant to your CentralDesk account and ask plain-English questions about your search performance. The answers come from your real Brand Analytics data, refreshed weekly, with no clunky filter UI in the way.
Drill into a question. Compare timeframes. Pull a list. Ask the follow-up.
How the MCP Server works →Search Query Performance, sales reporting, advertising, catalog health, and Amazon intelligence are all connected inside one platform designed specifically for Amazon sellers.
Spend less time fighting filters. Spend more time acting on insight.
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