Amazon keyword research: search volume, reverse lookup and search terms
Amazon keyword research: search volume, reverse lookup and search terms
Where Amazon search volume comes from, how to reverse-look-up the terms a competitor ranks for, how to build a keyword library and fill backend search terms, and how to choose a tool.
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.
Amazon Search Trends: How to Tell a Real Rise From a One-Week Spike
A search term that jumps one week is a question, not an answer. Read its 1-, 4- and 12-week rank growth together, know why the growth rate tops out near 100%, and separate brand terms from product terms before you stock anything.
Amazon Backend Search Terms: What Goes in the Field and How to Fill It From Reverse Lookup Data
The backend search terms field is short, counted in bytes, and ignored entirely when it runs over. This post covers the rules Amazon publishes for it, why nobody can read a competitor's backend field, and a six-step way to fill yours from the terms competitors already rank for.
How to Check Amazon Keyword Search Volume: Four Sources and What Each Number Means
Amazon does not publish a search volume figure for every keyword. Four sources give you something close: two Brand Analytics reports, Product Opportunity Explorer and third-party estimates. This post shows what each one returns, who can use it and how to pull the number through an API.
Is There a Google Trends API? The Official Alpha, the Alternatives and What Each Returns
Google announced an official Trends API in July 2025. As of October 2026 it is still an alpha you apply for, with no self-serve key and no published price. This post covers what the official API returns, what the other routes are, and how Amazon sellers use Trends data as a cross-check.
Amazon Brand Analytics Search Terms: How to Read Rank, Click Share and Entry Cost
ABA gives a search frequency rank, not a volume. One row tells you three things: which way the rank is moving (a negative change means worse), how much of the clicks the top three ASINs hold, and what reaching page one costs.
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.
Getting an Amazon Keyword onto Page One: How the Clicks Split Decides Whether It Pays
A keyword on page one that still does not convert is usually not a position problem: its clicks and conversions concentrate in the top three. This post uses top-three click share and top-three conversion share to decide whether a keyword's first page is worth chasing.
Choosing an Amazon Keyword Tool: First Work Out Which "Search Volume" It Shows
"Which keyword tool is most accurate" usually compares two different quantities. A single reverse lookup response holds four fields that look like search volume, each with its own period and scope. This post splits the keyword toolkit by task and lists the three questions to ask when evaluating one.
Amazon ASIN reverse keyword lookup: what one request returns and how to read it
Passing an ASIN to get its keywords sounds simple, but what comes back is not "every relevant term". This covers what the lookup actually measures, the pagination ceiling, how to read the rank fields, and three common misreadings.
How to optimize Amazon keywords: sort them into four conversion classes
Keyword optimization is not stuffing words into a title. Your listing already gets impressions for a set of terms, and optimizing means classifying that set — which to defend, which to investigate, which to stop paying for.
Monitoring Amazon keyword rank: three layers, summary first and drill down after
Monitoring is not storing the rank of two thousand terms daily. The division of labour between summary, per-term and market layers, a way to compute dual-placement terms from three numbers, and what to rule out before blaming your listing.
Choosing Amazon negative keywords: three sources and one line you should not cross too early
Negatives are not about deleting terms. They move budget away from positions that will not convert. Three classes safe to negate, what each looks like in the data, and when negating does damage.
Amazon PPC keyword bidding: why one term comes back with 36 numbers
Asking what to bid on a term expects one number. The endpoint returns 36 — three match types, each with a bid, CPA, budget and ACOS, and each of those a range rather than a point. How to read them.
Choosing Amazon PPC keywords: exclude three kinds first, then read four competition fields
Picking ad keywords is not picking SEO keywords. SEO needs relevance and volume; advertising also needs terms you can afford to win. The three kinds to exclude first, and the four fields that actually decide it.
Choosing a Reverse ASIN Tool: An Acceptance Checklist You Can Run Yourself
No rankings. A method instead: fix a set of ASINs, test any tool against the same conditions, and check the three things no reverse lookup can return. Downloadable checklist included.
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.
Building Your Own Keyword Library: ABA, Reverse Lookup, and Expansion
Three kinds of keyword data answer three different questions. Here is what each one actually measures, how to merge them into a maintainable library, and the mistakes that merge invites.