Amazon keyword research that ends in sales, not spreadsheets

Start with the sources buyers actually leave behind

Your own search term report. If you run ads, this is the most honest source you have: real searches that led to real orders on your product. Nothing from a third party tool beats it.

Competitor listings. Take the three or four products that rank where you want to rank and read their titles and bullets. The terms they repeat are the terms their buyers use.

Amazon's own suggestions. Type your product into the Amazon search bar and read the dropdown. That list is generated from what shoppers search, in the marketplace you are selling in.

Reviews and questions. Buyers describe products in their own words, which are often different from the words in the manufacturer's description. Those phrases are where long tail keywords come from.

Research tools like Helium 10 and Keepa are useful on top of this, but they estimate. The four sources above are evidence.

Judge a keyword before you build around it

Relevance first. A high volume term that brings shoppers looking for something slightly different will cost you clicks, sink your conversion rate and drag your ranking down. Ranking for the wrong search is worse than not ranking.

Then intent. Terms that name a use, a size or a problem convert better than a single broad category word, even though the broad word has more searches.

Then competition. If page one is filled with brands holding thousands of reviews, a new listing will not break in on that term alone. Win the specific terms first, and the broad ones become reachable once your sales history exists.

Where keywords actually go

Title: the main keyword near the front, written so a human reads it comfortably. Brand, product, then the one or two attributes that matter most for choosing it.

Bullets: one benefit per bullet, with secondary terms used naturally inside the sentence. Bullets stuffed with keywords read badly and lose the sale you fought for.

Description and A+ content: longer phrases, use cases and the questions buyers ask. A+ replaces the description visually for brand registered sellers, so keep the text version keyword complete too.

Backend search terms: the terms that did not fit anywhere else. Watch the byte limit for your marketplace, use no commas, no repeats, and never include your brand or competitor brands. Repeating a word does not rank it twice.

Attributes: these are search fields too. Size, colour and material are used by filters that many shoppers rely on instead of typing.

Check the work, then check it again in two weeks

After the listing goes live, search its exact ASIN with a keyword to confirm Amazon has indexed it for that term. If nothing comes back, the term is not in a field Amazon reads, or the listing was updated before the change was saved.

Then wait. Ranking moves on sales and conversion, not on the upload. Two weeks later, open the search term report again, add the terms that converted, and cut the ones that took clicks without orders. Keyword research that works is a loop, not a document.

Marketplaces do not share keywords

A listing copied from the US to the UK usually underperforms for a simple reason: people search different words. Trainers and sneakers, nappies and diapers, torch and flashlight, aubergine and eggplant. The product is identical and the search is not.

Spelling matters too. Colour and color, organise and organize. Amazon handles some variants, and where it does not, one of your two listings is invisible for the term that matters most.

So for every marketplace, redo the dropdown check and read the competitor listings that rank in that store. It takes twenty minutes per marketplace, and it is the difference between a listing that trades and a listing that sits.

Common mistakes worth avoiding

Repeating the same word everywhere. Amazon indexes a term once. Repeating it across the title, bullets and backend adds nothing and costs you room for other terms.

Stuffing the bullets. Bullets are read by buyers deciding whether to trust you. A bullet written for a robot lowers the conversion rate that ranking depends on.

Ignoring the attributes. Many shoppers filter by size, colour or material instead of typing, and an empty attribute removes you from those results entirely.

Chasing a broad term too early. A new listing aimed at the biggest keyword in its category gets clicks it cannot convert, which teaches Amazon the listing is a weak answer for that search.

Common questions

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