Podcast: Download (Duration: 11:01 — 12.9MB)
In this Family First Friday solo episode of the My Wife Quit Her Job podcast, I walk through the exact 4-tool product research process I use to find a $5,000-per-month product to sell online in about 10 minutes. It is the same workflow that turned Bumblebee Linens into a seven-figure store, and it works whether you plan to sell on Amazon, Shopify, eBay, or Etsy.
Ecommerce breaks down into three big demand pools: Amazon (50 percent of US ecommerce), Google search (a big chunk of the remaining 50 percent), and eBay (3.5 percent of US ecommerce, but with exact sales data anyone can see). The goal of good product research is to validate real demand and manageable competition on all three before you spend a dollar on inventory.
Here is the full 4-tool workflow: Jungle Scout for Amazon, Ahrefs for Google, Zik Analytics for eBay, and Terapeak as the free fallback. Run all four on a candidate product and you will know inside 10 minutes whether it is worth sourcing.
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Table of Contents
Key takeaways
- Amazon has 50 percent of US ecommerce. The next-closest competitor, Walmart, has 6.3 percent. Start every product search on Amazon.
- Use Jungle Scout to check demand on Amazon by typing a candidate keyword into Amazon search and running the extension. Look for evenly distributed revenue across the first page and product listings with only a few hundred reviews or less.
- Use Ahrefs to check demand on Google. Multiply monthly search volume by 37 percent (the top-ranking click-through rate) by 2 percent (average ecommerce conversion) to size the annual revenue potential.
- Use Zik Analytics on eBay and require a Successful Listings Percentage of at least 33 percent. That means a third of listings on the front page actually sell, which also gives you a liquidation channel if inventory sits.
- Terapeak is free with an eBay seller account and covers broad-category data, but it will not give you per-product depth like Zik Analytics.
Why haphazard product research fails on Amazon and Shopify
Haphazard product research (picking products from a trade show or a hunch) fails on Amazon and Shopify because there is no way to know if the product has demand, or if the market is already saturated with entrenched competitors, until you have already paid for inventory.
That is how my wife and I started at Bumblebee Linens. We walked trade shows, bought what looked interesting, and watched a lot of it collect dust in the warehouse. Unsold inventory is the most expensive lesson in ecommerce, and it is completely avoidable with 10 minutes of tool-driven research.
The workflow below validates demand across the three biggest ecommerce channels before you place a single supplier order. Each tool answers a different question: does the product sell, do people search for it, and can I liquidate it if I need to.
Method 1: How to find profitable Amazon products with Jungle Scout
The fastest way to find profitable Amazon products is to type a candidate keyword into Amazon search and run the Jungle Scout browser extension. Jungle Scout scrapes the front-page listings and returns estimated monthly units sold, monthly revenue, price, and review count for every result.
Jungle Scout works because Amazon assigns every listing a Best Seller Rank (BSR), and Jungle Scout has correlated real seller sales data against BSR at scale. That lets it interpolate monthly sales for any listing with reasonable accuracy. Amazon does not publish these numbers directly.
What good Amazon results look like
A good Amazon product opportunity has three signals on the first page of search results: a clear evenly distributed revenue across the top 10 sellers, average review counts in the low hundreds or fewer, and at least one product doing meaningful monthly revenue.
Even distribution matters because a single dominant brand usually means there is no room for a new entrant. Low review counts matter because reviews correlate directly with listing strength, and a listing with 1,000+ reviews is very hard to displace.
If the front page shows a mix of small brands each earning several thousand dollars a month with only a few hundred reviews, that is a viable Amazon opportunity worth pursuing.
Use Jungle Scout Opportunity Finder in reverse
Use Jungle Scout Opportunity Finder to search for products in reverse when you have no candidate keyword in mind. Set your criteria (for example, at least $5,000 in monthly revenue and fewer than 200 reviews) and Jungle Scout returns matching product searches from its database of millions of Amazon listings.
This is the fastest way to brainstorm products from scratch. You are essentially asking Jungle Scout to hand you a shortlist of undertapped Amazon niches that match your revenue and competition thresholds.
Method 2: How to validate products with Ahrefs and Google search demand
Use Ahrefs to check Google search demand for any product you are considering, because the roughly 50 percent of US ecommerce not on Amazon happens on Google and independent stores. Type your candidate product into Ahrefs Keywords Explorer and Ahrefs returns monthly search volume, keyword difficulty, and dozens of related search variants.
For example, “dog harness” gets around 59,000 monthly US searches. Ahrefs also surfaces the long tail: 45,000 searches for “dog collars,” 13,000 for “dog harness no pull,” 6,400 for “tactical dog harness.” Each variant is another potential product angle.
How to size annual revenue potential from Google search volume
To size the annual revenue potential from Google search volume, use this formula:
- Monthly search volume x 37% (approximate CTR for the #1 Google result) = expected monthly organic visitors.
- Expected monthly visitors x 2% (average ecommerce conversion rate) = expected monthly sales.
- Repeat for every relevant keyword and add them up.
Apply the formula to every product-intent keyword in your niche, add them up, and you have a defensible annual revenue potential figure to compare against sourcing cost.
Filter out informational keywords. “Dog harness installation,” for example, is a tutorial search, not a buying search, so it should not count in the revenue math.
Method 3: How to research eBay demand with Zik Analytics
Zik Analytics is the best tool for researching eBay demand because it scrapes every eBay listing (both sold and unsold) and, critically, eBay reports every real transaction publicly. Jungle Scout is an interpolation; Zik is exact.
Zik has a “hot categories” view and can drill down into hot-selling products in any category. But the most important Zik metric for product research is the Successful Listings Percentage.
Why Successful Listings Percentage matters on eBay
The Successful Listings Percentage is the fraction of front-page eBay listings for a given search that actually sold at least one item. Require at least 33 percent, meaning roughly a third of listings for that product sell.
A 33+ percent Successful Listings Percentage does two things at once. It confirms real buyer intent for the product on eBay, and it guarantees a liquidation channel: if the product does not move on your own store or on Amazon, you can dump it on eBay at a reasonable sell-through.
Do not stop at sell-through. Check the average selling price too. A high Successful Listings Percentage does not help if the sale price is below your cost of goods.
Terapeak (free) as the budget alternative to Zik Analytics
Terapeak is the free alternative to Zik Analytics because eBay acquired Terapeak and now bundles it inside every eBay seller account under the Research tab. It gives you average selling price, total units sold, total revenue, and sell-through rate for a search.
Terapeak works well for broad category research and is genuinely useful given the price. What it does not do (that Zik still does) is per-product granularity and hot-category discovery. If you are on a budget, start with Terapeak, and upgrade to Zik Analytics once you are actively sourcing.
The 10-minute product research workflow (all 4 tools together)
To find a profitable product to sell in 10 minutes, run all three demand channels in this order on every candidate: Jungle Scout on Amazon, Ahrefs on Google, then Zik Analytics or Terapeak on eBay.
- Type the candidate product into Amazon search. Run Jungle Scout. Confirm evenly distributed revenue on the front page, low review counts, and at least one competitor doing meaningful monthly revenue.
- Paste the same keyword into Ahrefs. Confirm meaningful monthly search volume and use the 37% x 2% formula on the top matching keywords to size annual revenue potential.
- Paste the keyword into Zik Analytics (or Terapeak). Require a 33+% Successful Listings Percentage and check that the average selling price supports your margin.
- If all three pass, price the product on Alibaba (or your supplier) and confirm the landed cost supports at least a 3x margin.
Any product that passes all four checks has real demand on the two biggest ecommerce channels, an escape hatch on the third, and a workable margin structure. That combination is what a $5,000-per-month product looks like in the data.
Comparison of the product research tools
| Tool | What it tells you | Data type | Price |
|---|---|---|---|
| Jungle Scout | Estimated monthly revenue, units, reviews per Amazon listing | Interpolated from real seller data + Amazon BSR | Paid subscription |
| Ahrefs | Monthly Google search volume, keyword difficulty, related keywords | Aggregated Google search data | Paid subscription |
| Zik Analytics | eBay sell-through, hot categories, avg selling price, per-product data | Exact eBay transaction data | Paid subscription |
| Terapeak | eBay avg selling price, units sold, revenue, sell-through (broad categories) | Exact eBay transaction data (aggregate only) | Free with eBay seller account |
Frequently asked questions
How do I find a profitable product to sell online in 10 minutes?
Run three tools in order on every candidate product: Jungle Scout on Amazon (check for even revenue distribution and low reviews), Ahrefs on Google (check monthly search volume and use 37% x 2% to size revenue), then Zik Analytics on eBay (require at least a 33 percent Successful Listings Percentage). Any product that passes all three has validated demand and a liquidation channel.
Does Jungle Scout give accurate Amazon sales data?
Jungle Scout gives approximate Amazon sales data by interpolating from real seller sales history against each listing’s Best Seller Rank (BSR). The numbers are estimates, not exact, but they are accurate enough to make product-selection decisions from.
What Ahrefs search volume do I need for a viable product?
Multiply the monthly search volume by 37 percent (the #1 Google result’s approximate CTR), then by 2 percent (average ecommerce conversion rate) to get expected monthly sales. Repeat for every relevant keyword and add them up. That total, multiplied by 12, is your defensible annual revenue potential.
What is a good Successful Listings Percentage on eBay?
A good Successful Listings Percentage on eBay is 33 percent or higher. That means at least a third of front-page listings for the product actually sell, which confirms real buyer intent and guarantees a liquidation channel for unsold inventory.
Is Terapeak still worth using since eBay bought it?
Terapeak is still worth using for free eBay category research and broad sell-through data, because it comes free with every eBay seller account. eBay stripped some of its per-product features when they acquired it, so for detailed per-product research most sellers upgrade to Zik Analytics.
Should I sell on Amazon or on my own Shopify store?
Sell on both, but validate on Amazon first because it has 50 percent of US ecommerce and the largest, most competitive data set. Products that pass Amazon research (Jungle Scout) plus Google search demand (Ahrefs) are the same products that support a viable Shopify store, and Amazon becomes a second sales channel.
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