The goal of this stage is volume: **fifty product ideas minimum**, and more is better. Six methods, each finding the same signal from a different direction.

You are always looking for one thing — **a product selling well on a low review count** — because that single product is a flare telling you the market behind it may be open.

[Watch the walkthrough](https://kb.trackiq.com/kb-assets/kbvideo-sixmethods-explainer-8d670c45.mp4)

*Prefer to watch? One hundred and twenty-eight seconds on the four steps you run on every candidate, the six places they come from, and the review-count trap that catches people out.*

## **What you do with every candidate**

The same four steps, whichever method surfaced it. Once you have the habit, each takes two or three minutes.

**1. Find the product's main keyword**, usually from its title.

**2. Search that keyword on Amazon** and export the results.

**3. Assess the page in one or two minutes.** Is this market crowded or open?

**4. If it looks reasonable, add it to your sheet.** You are not deciding, you are collecting.

**The one-minute disqualifier:** if the search returns **more than four listings with over 5,000 reviews**, skip it and move on. Do not spend ten minutes hoping.

**One data caution.** Reviews are not always merged across variations. A listing that appears to have 80 reviews may be a variation of a parent with 8,000. Check the parent before getting excited.

## **Method 1 — Filtered product database search**

The highest-volume method: query a product database by criteria and let it return candidates.

| Filter | Setting |
|---|---|
| **Category / subcategory** | only ones that fit your brand |
| **Review count** | min 50, max 200 |
| **Fulfilment** | FBA |
| **Parent-level revenue** | min $25,000/month |

Adjust to your situation — a larger brand with more capital can tolerate higher review counts; a smaller or less competitive category should start lower.

**Add a keyword filter that matches your brand.** If you sell liquid vitamins, filter titles for *drops*. If you sell paper goods, filter for *paper*. This turns a generic list into a relevant one.

**Work in narrow bands rather than one wide search.** A broad query returns 500+ results, and you will skim, repeat yourself and miss things. Instead, tighten until fewer than 500 results come back, review all of them, then step the band up.

For example: 40–50 reviews at $25–30k, then 50–60 reviews at $25–30k, then 60–70. Each pass is small enough to actually read.

![What sells alongside your products](/kb-assets/shot-prod-table-6c206b.png)

## **Method 2 — Frequently Bought Together**

Go to your own listings and look at what Amazon shows as frequently bought together.

These are, by definition, products your customers already buy alongside yours. That is a stronger relevance signal than anything a filter can produce, because it comes from real purchasing behaviour rather than category taxonomy.

**Your own account answers this better than any external tool.** See [**Find Your Next Bundle**](https://kb.trackiq.com/hc/knowledge-base/articles/find-your-next-bundle) and [**ASIN Purchase and Upsell Analysis**](https://kb.trackiq.com/hc/knowledge-base/articles/asin-purchase-upsell), which show what actually gets bought with what across your catalogue.

## **Method 3 — Competitors' storefronts**

Search the main keyword for each of your best products, take the top-performing listings, and open each seller's storefront to see what else they sell.

This is efficient because those sellers have already done relevance filtering for you — they sell to the same customers you do.

**Visit 10–15 storefronts per one of your best-selling products.** It is repetitive, and it consistently produces candidates the databases miss.

## **Method 4 — New Releases**

Amazon's New Releases pages for your subcategories show products that launched recently and are already selling.

That combination — recent, and moving — is exactly the profile you want: a market open enough that a new entrant got traction. Same filter as always: high sales, low reviews.

## **Method 5 — What you already know**

You have been selling in this space for a while and you have seen adjacent products, heard customer requests, and had ideas you never chased.

**Write them all down and check each one.** Search the main keyword, look at the page, add anything that is not obviously too competitive.

This method costs nothing and is skipped constantly.

## **Method 6 — Outlier keyword browsing**

Search a broad keyword related to your brand and go down the rabbit hole.

Sell yoga mats, and you search *yoga* or *pilates* and scroll — page after page — looking at what else exists in that world. Collect your brand-adjacent keywords first, then work through them one at a time.

It feels unstructured. It surfaces things structured search will not, because you are browsing the way a customer would.

**Social platforms are a variant of the same idea.** Watching what is gaining traction off Amazon before it arrives on Amazon is genuinely high-reward, because competition is near zero when you are early. It is also riskier, because off-Amazon popularity does not always transfer.

## **Then fill in the manual data**

Collecting candidates is the fast half. The slow half is filling in, for each one, the things no export gives you:

expected selling price; estimated landed cost; FBA fee; whether you can offer better value at 35%+ margin; search volume and its growth; how many of the top 10 are Amazon, FBM, overseas-direct, or strong sellers; whether it is a variations market; Subscribe & Save eligibility; reorder frequency; seasonality; brand fit; patents; whether it is a recent fad; and whether the category has restrictions.

**This is tedious and it is the point.** It is what turns a list of impressions into something you can rank.

**Search volume and its direction** are two of those columns you can answer from real data rather than estimate — see [**Understanding Search Query Performance**](https://kb.trackiq.com/hc/knowledge-base/articles/understanding-search-query-performance).

## **Common mistakes**

**Stopping at twenty ideas.** Fifty is the floor.

**Falling for unmerged variation reviews.**

**Spending ten minutes on an obviously crowded market** instead of skipping in one.

**Only using method 1**, and getting a list that any other seller running the same filters would also have.

**Skipping the manual columns**, which leaves you choosing on gut feel after all that work.

## **Related**

- [**Before You Add a Product**](https://kb.trackiq.com/hc/knowledge-base/articles/before-you-add-a-product) — whether you should be doing this at all yet.
- [**Scoring Product Opportunities**](https://kb.trackiq.com/hc/knowledge-base/articles/scoring-product-opportunities) — turning the list into a ranking.
- [**Outlier and Trending Keywords**](https://kb.trackiq.com/hc/knowledge-base/articles/outlier-and-trending-keywords) — the same instinct applied to advertising.