Amazon product research: methods, templates and the data behind them
Amazon product research: methods, templates and the data behind them
How to narrow a category to a shortlist, read price bands, judge sales estimates and compare variations, with downloadable templates and the endpoints each step uses.
What to Stock for Q4 on Amazon: Reading 12 Weeks of Holiday Search Demand
Holiday demand shows up in Amazon search ranks weeks before it shows up in sales. Read 12-week rank growth to tell demand that is still building from demand that has already peaked, then line it up against when stock has to arrive.
Best Products to Sell on Amazon for Beginners: Seven Filters for a First Product
A first product is not the most profitable product you can find; it is the one where a mistake is cheap. Seven filters — price, reviews, size, approvals, seasonality, brands and returns — and a data request that applies most of them at once.
Chinese Sellers on Amazon: What the Top 100 New Products Show (October 2026)
Sellers based in mainland China and Hong Kong hold 28 of the 100 best-selling new US listings and about 30% of their units. They win at lower prices, with fewer reviews and mostly in clothing, and are nearly absent from beauty, health and grocery.
Amazon ASIN Lookup: By ASIN, UPC or SKU
Amazon ASIN lookup by ASIN, UPC or SKU: an ASIN goes straight to product data, a UPC takes one more step, a rival's SKU can't be found. Bulk requests too.
Parent and Child ASINs: Which Numbers Are Pooled Across Variations and Which Are Not
A parent ASIN is a shell that groups variations; a child ASIN is the thing a shopper buys. Reviews, sales estimates, price and BSR mean different things at the two levels. This post shows which is which, how to tell the levels apart in API data, and how to keep comparisons on one level.
Choosing a Price Point on Amazon: Read the Category's Price Bands Before You Set a Price
In one category we tested, 36 of the top 100 products sat between $15 and $20 and took 42% of unit sales, while the four products at $20 to $25 each sold more than any other band. This post shows how to read a price distribution into three numbers per band and what they say about where to price.
Searching Amazon Products by API: Match Types, Sort Order, and Why It Is Not the Search Results Page
One keyword returned 265,533 products on broad match, 1,880 on phrase and 750 on exact. This post shows what each match type does with a real test, how results are ordered, and when you need search positions instead of a product search.
Building an Amazon Niche Finder: What Each Filter Decides and What It Hides
A niche finder is a set of filters over category statistics. This post shows which filters answer which question, how to read one result row without being fooled by head-sample averages, and why the filters you choose matter more than the tool you use.
Seasonal Product Research on Amazon: Measure Concentration Before You Pick a Month
The risk in a seasonal product is not the peak, it is the inventory still sitting there in the off-season. Use multi-year monthly search, per-ASIN monthly sales and launch-year cohorts to decide whether to enter and which month to decide in.
Product Research on Amazon US, Japan and Europe: The Same Analysis Does Not Transfer As-Is
Product research methods carry across marketplaces; the numbers do not. Every request needs a marketplace (four common endpoints silently default to the US), amounts come in each marketplace's currency, keywords are stored in its language and category paths are defined per marketplace. This post sets out what to redo and what to reuse.
Amazon category analysis: four distributions decide whether you can still get in
A big category total does not mean a share of it is available to you. Listing age, seller type and price distributions, plus one statistics call, read the competitive structure — above all whether new listings still have room.
Amazon competitor analysis: the comparison table is useless, the difference is not
A side-by-side competitor table rarely produces an action. Four angles that do — keyword difference, dual-placement waste, unmet demand in negative reviews, variation structure — plus one number you can compute directly.
Amazon Market Analysis: Where the Market Size Number Comes From
Market size is the least reliable number in the dataset — it rests on a head sample and two layers of estimation. This post opens up how it is computed, the unit trap in ratio fields, and how to read share properly.
How to Find Products to Sell on Amazon: Eliminate Before You Discover
How to find products to sell on Amazon starts with removing them, not finding them. Four elimination layers, what data each one uses, and why reversing the order throws away everything you did before it.
An Amazon Product Research Template That Makes Two Sheets Comparable
A downloadable product research sheet that fixes the marketplace, the collection date, and which numbers are estimates — plus the field mapping for when filling it in by hand stops scaling.
Choosing an Amazon product research tool: the difference is how much it decides for you
What separates product research tools is not whose data is more complete — it is who set the weights behind that "opportunity score". Three tool shapes, an acceptance checklist you can run, and how to write your own criteria instead.
What Amazon sales data can and cannot tell you: the API labels its own estimates
The marketplace never publishes unit sales, so every monthly figure is derived from BSR. This breaks down the fields across three sales endpoints — which are facts, which are derived, and the parent-versus-child comparison that quietly inflates results.
What Is an ASIN? vs UPC, EAN, ISBN, SKU
An ASIN is the ten-character code Amazon gives every product. How it differs from UPC, EAN, ISBN, SKU and FNSKU, how book ASINs work, and what it opens up.
Handing Product Research to an AI Agent: One Conversation From Seed Term to ASIN Shortlist
A copyable multi-step prompt that walks an agent through keyword expansion, category sizing, product filtering, and sales estimation, ending in a shortlist with reasons.
Bulk Product Research: Narrowing to a Shortlist With Three Endpoints
Market Research to pick the category, Product Research to filter products, BSR Sales Estimate to rank them — three endpoints chained into a scheduled research job, with runnable requests.