Amazon product hunting tools: how to find ideas worth checking

What product hunting is, and where it stops

Hunting is the step before validation. Its output is a shortlist: 15 to 30 search terms or product types that look promising enough to check properly. Its job is not to find the winner. Sellers who expect a hunting tool to pick the product for them tend to launch whatever came top of a filtered list, and filtered lists are the same for everyone using the same tool.

So think of the hunt as a funnel with three stages:

1. Collect: gather 100 or more raw ideas from several sources, without judging them.
2. Cut: remove anything that fails basic rules on price, size, category or obvious brand dominance. This usually leaves 20 to 40.
3. Check: look properly at the first page of Amazon for each survivor. This is validation, and it is a separate job with separate tools.

Hunting tools live in the first two stages. The mistake that costs money is letting them make the call in the third.

The main types of Amazon product hunting tools

Most tools sold for hunting fall into one of four groups. Each one surfaces a different kind of idea, which is a good reason to use more than one source rather than more than one tool of the same type.

Product databases

Jungle Scout's Product Database, Helium 10's Black Box and AMZScout's database all work the same way. You set ranges for price, estimated monthly revenue, review count, rank and category, and the tool returns every product that fits. They are the fastest way to fill the collect stage, and the most crowded: thousands of sellers run nearly identical filters, so the obvious results are already contested.

Keyword and search tools

An Amazon product search tool that starts from keywords works the other way round. You enter a broad term, such as "kitchen storage", and it returns hundreds of related search phrases with estimated volume. Helium 10's Magnet and Jungle Scout's Keyword Scout are examples. This surfaces what buyers type rather than what sellers list, and the gap between the two is often where the ideas are.

Amazon's own pages

Best Sellers, New Releases, Movers & Shakers and the search autocomplete box are free and updated constantly. Movers & Shakers in particular shows the biggest rank gains over 24 hours, which catches early trends before database filters pick them up. If you have a seller account, Product Opportunity Explorer adds search volume and a 360 day trend to each niche, straight from Amazon.

Supplier-side hunting

Some of the best ideas start outside Amazon: a supplier catalogue on Alibaba, a trade show list, a product you noticed in a shop abroad. You then search Amazon for it. This is slow, but the ideas are less likely to be on everyone else's filtered list.

A one-week hunting routine

You do not need a suite to hunt well. The routine below fits around a day job and ends with a shortlist you can actually check. Our guide to free product research tools covers the no-cost options in more detail.

Days one and two: collect

Aim for 100 raw ideas. Spend an hour each on Movers & Shakers across three categories you understand, on the autocomplete box (type a broad term and note every suggestion), and on one database or keyword tool if you have a trial. Write each idea as a search term, not a product name, because a search term is what you will later check. "Collapsible silicone strainer" is checkable. "That green strainer" is not.

Days three and four: cut

Run every idea through a short set of hard rules. These are a sensible starting point for a first product:

• Selling price between $20 and $60, so fees leave room for margin.
• Small and light enough to ship in a standard size tier.
• No electrics, liquids, glass or anything that needs certification.
• No famous brand holding three or more of the top 10 spots.
• Not a seasonal novelty that only sells in one month.

Most lists drop from 100 to around 25 here. If yours drops below 10, your collect stage was too narrow. Go back to it rather than loosening the rules.

Days five to seven: rank for checking

Order the survivors by how curious you are about them, then check the top ones properly. Checking means reading the actual first page of results for each term: review counts, listing quality, price spread and who the sellers are. Our low-competition products guide explains what to look for, and the idea validation guide covers the full set of checks before you spend money.

Filter traps that sink first products

Database filters are where most hunting goes wrong, because the default settings shared in courses and videos are the same ones everyone uses. A few traps come up again and again.

The low-review trap

Filtering for products with under 50 reviews feels like finding easy markets. Often it finds new listings, small categories, or products that sell poorly for a reason. A low review count only matters if the listings around it are also weak, which you can only see by reading the page. We cover this in finding products with low reviews.

The revenue trap

A filter of "over $10,000 a month" returns products whose revenue comes from a model, not from Amazon. Estimates are fine for comparing two products but unreliable as a target. One listing taking $9,000 of a $10,000 market looks the same in a filter as ten listings sharing it evenly.

The single-snapshot trap

A database shows what a product looks like today. A product that sold out last week, ran a heavy promotion, or sits at its seasonal peak will look far better than its average. Before anything goes on your final shortlist, look at 12 months of price and rank history. Keepa shows this for free at a basic level.

The everyone-else trap

If a product appears in the top results of a popular database with default filters, assume hundreds of other sellers saw it in the same week. Hunting in less obvious places, or combining two sources, is the easiest way to get ideas that are not already crowded. The Amazon niche finder guide shows how to work from a niche outwards instead of from a filter.

Frequently asked questions