Enter a store. Get the online stores whose product offering is closest to it. Use one great customer, one rival or your own shop as the seed, and let the catalog do the matching.
Two stores in "Home & Garden" can sell completely different things. Two stores selling the same espresso grinders are true neighbors, whatever their label says.
The store you start from decides what the list is for. Pick the seed that matches your goal, and use a different seed for each campaign.
Find more stores like the one that pays you most and churns least. It is the most reliable seed you have.
See every competitor whose catalog overlaps yours, including quiet ones you never noticed.
Map its neighborhood and find the gaps around it that nobody serves well yet.
Suppliers find more retailers likely to carry their products, starting from stores that already do.
A ranked list of neighbors is useful to sellers, buyers, founders and analysts alike. These are the eight jobs we see most often.
Turn one good customer into fifty more like it, ranked by how close each one is.
Find the rivals that never show up in your ads report but sell to the same buyers.
Find retailers similar to the ones already stocking you, in the countries you ship to.
Find stores with complementary catalogs for bundles, giveaways and co-marketing.
See how close neighbors present, price and merchandise the same kinds of products.
Find bolt-on stores that fit an existing brand and share its audience.
Pitch stores that look like your best case study, so the proof lands immediately.
Chain seeds together to map a whole niche, corner by corner.
Your best customers already prove what a good fit looks like. Their neighbors share the same products, buyers and problems.
"Stores like yours use us" lands well when it is literally true.
A close catalog is necessary but not sufficient. These questions decide whether a match becomes a real prospect.
Product count and average price should sit in the band your offer serves.
Country and language must match where you sell and support.
Authority for its age tells you whether the store is gaining or stalling.
Check the tools it runs for useful integrations or direct rivals.
Remove current customers and open deals before outreach starts.
If you would not pick up the phone for it, drop it from the list.
Most store owners know their five loudest rivals. The similar store list shows the quiet ones selling the same products to the same buyers.
Bars are illustrative; your own numbers come from the export.
Similarity tells you who sells the same things. Filters tell you who you can actually work with, given your territory, pricing and capacity.
| Add this filter | To get | Typical user |
|---|---|---|
| Country | Neighbors in your sales territory or shipping zone | Suppliers, local agencies |
| Product count | Neighbors of a size your offer fits | SaaS vendors, 3PLs |
| Average price | Premium or budget neighbors only | Brands, premium suppliers |
| Domain age | New neighbors still choosing partners | App developers, agencies |
| Authority | The strongest neighbors, or the ones still rising | Investors, partnership teams |
| Technology | Neighbors running a specific tool, or a rival's | SaaS sales |
Start with one store. Take its closest neighbor as the next seed. Repeat a few times and the whole niche appears, including corners category filters miss.
The same feature, six different first questions. Each team picks a different kind of seed and a different filter to finish the list.
"Which stores look like our ten happiest customers?" The answer becomes next month's outbound list.
"Who looks like our best case study?" Proof from a near-twin store sells itself.
"Which retailers would also carry our line?" Current stockists point the way.
"Who am I really competing with?" Often not the stores you expected.
"What else could bolt onto this brand?" Shared audiences make integration easier.
"Who sells to our buyers without competing with us?" Those are partners, not rivals.
Similarity is strongest where catalogs are distinctive. In these niches, a single seed reliably returns a tight, useful list.
| Niche | Example seed | Who benefits most |
|---|---|---|
| Specialty coffee | An espresso equipment store | Roasters, accessory brands, coffee SaaS |
| Premium pet goods | A luxury pet furniture brand | Pet suppliers, loyalty apps |
| Outdoor gear | A camping equipment store | Outdoor brands, shipping providers |
| Clean beauty | A natural skincare label | Ingredient suppliers, subscription tools |
| Home fitness | A home gym equipment store | Financing providers, freight carriers |
| Craft supplies | A yarn and knitting shop | Wholesalers, marketplace platforms |
| Cycling | A bike parts retailer | Component brands, repair services |
| Kitchenware | A cookware specialist | Kitchen brands, recipe content partners |
| Aquariums | A rimless tank specialist | Equipment makers, livestock suppliers |
| Creator gear | A studio lighting store | Audio and video brands, rental platforms |
The strength of a look-alike list is relevance. Your message should make that relevance obvious in the first line.
Example wording only. Use real results from your own customers.
Run a look-alike campaign next to your usual list for a month and compare four numbers.
Some seeds produce far better lists than others. Keep the seeds that work and replace the rest.
Usually the best seeds are specialists with clear, focused catalogs.
Check whether the closest matches convert better than the tenth or twentieth.
That tells you how deep into each list it is worth going.
An illustrative example of a brand that sells through independent kitchen stores and wants more of them.
Small choices in how you seed and filter make a big difference to list quality, and to how many replies you get from it.
A specialist store gives sharper matches than a general store selling everything. Pick seeds with a clear identity.
Five seeds from different niches beat one seed with a long list. You also learn which niche responds best.
Your seeds' neighbors may already buy from you. Check before you send so customers do not get prospecting emails.
A neighbor ten times bigger or smaller may need a different offer.
Open the closest matches. If they fit, the rest of the list usually does too. If not, change the seed.
New stores open every week. Re-run your seeds to catch them.
Similarity is one of four ways to build a store list on the platform. Each answers a different question.
| Method | Starts from | Best for | Weak at |
|---|---|---|---|
| Category | A category and subcategory | Market sizing, territory lists | Telling specialists apart |
| Keyword | A word in names, descriptions or domains | Niches without their own category | Words with several meanings |
| Technology | A tool the store runs | SaaS and app prospecting | Product fit |
| Similarity | One known store | Look-alikes, competitors, stockists | Very broad seed stores |
Stores are compared on the products they sell. The stores with the closest product offering to your seed are ranked first.
Matches come from more than one million active online stores in the database, across all major ecommerce countries.
Both plans, as part of store analytics, including technology filters on the matches.
Yes, if it is in the database. The result is your true competitor list, ranked by how close each catalog is to yours, with prices alongside.
Yes, by country, size, price, age and authority, the same as any store list. Filters apply after matching.
Usually, but not always. Matching on products also finds close neighbors filed under a different category label, which category filters alone would never show you.
Yes, to CSV, Excel or PDF, with every store field included, ready for a CRM or a wholesale sheet.
For look-alike prospecting, yes. Category lists are better for sizing a market; similarity lists are better for finding stores like a proven customer.
Yes. Seed with a retailer that already carries your products and filter the matches by your shipping countries and preferred store size.
Three to five focused seeds usually give a cleaner list than one broad seed. Track results per seed to learn which ones to keep.
Yes. Every store record shows its stack and the tools it is likely to add next, which helps you choose the right opening line.
Use the closest store you can find in the database, or search by keywords that describe its products. Either route gets you a usable starting list.
Matches are ranked from closest to less close. The top of the list sells nearly the same range; further down, the overlap is partial.
Look at the first ten by eye to judge how deep to go.
Yes. Seed with a store that sells something next to your products, not the same products. Its neighbors are natural partners.
It works, but very broad catalogs match many stores loosely. For large retailers, seed with a specialist that matches one of their departments.
Yes. Seed with your best client and pitch its neighbors with a relevant case study. See the agency page.
Yes. Each lookup and each page of results counts as a search. Advanced includes 10,000 searches a month.
Yes. Seed with a portfolio brand to find stores with overlapping catalogs and audiences, then sort by authority to see which are strongest.
As stores open, close and change their catalogs, the neighbors of any seed shift. Re-run important seeds every quarter.
Find stores like any store across 1M+ active shops. Included in both plans, from $999 per year.