An eCommerce company database is a list of businesses that really sell online, paired with verified contact data for each one: the decision-makers, email addresses and phone numbers a sales team needs to reach them. The hard part is the first half. "eCommerce" has never been a standard industry classification, so ordinary business databases cannot reliably tell an online merchant apart from any other company with a website.
Purpose-built databases solve this by reading live evidence from each website. That includes the storefront platform, the payment providers at checkout and the shipping tools behind fulfilment. This guide explains how merchant identification works, how to filter and build an eCommerce company list, and how to keep the data current.
Why can't ordinary company databases find online merchants?
Ordinary databases sort companies by industry codes that were created before online selling existed, so they cannot show who sells online. Most company data is organised around SIC and NAICS codes, the standard systems for classifying what a business does. A direct-to-consumer brand processing thousands of orders a month and a dormant wholesaler with a brochure site can sit under the same heading. Nothing in the record separates them.
Merchant size is just as hidden, because revenue from an online store rarely appears in any public field. Yet agencies, logistics providers, payment companies and software vendors need exactly this filter: "sells online, at roughly this size, in this region". Standard tools cannot supply it. That is why online merchant data has become its own category.
How can you tell if a company sells online?
You can tell from its website. Every working online store runs on a set of tools, and most of them can be seen from outside. A good merchant database reads that evidence directly.
|
What to look for |
What it tells you |
|
Storefront platform |
The company operates a live online shop, and which ecosystem it belongs to |
|
Payment providers at checkout |
Transactions genuinely happen, and who processes them |
|
Shipping and fulfilment tools |
Physical orders move, and at roughly what scale |
|
Wider site technology |
Marketing and operations maturity, and fit for tool vendors |
|
Traffic and social footprint |
A working proxy for merchant size and momentum |
This is the approach behind TAMI's patented merchant detection technology, protected by a European patent. It scans the live web and identifies companies that actually transact online, together with their payment providers, shipping partners, store technology and merchant size. The detection runs on current website evidence rather than static industry codes. So it finds merchants that ordinary databases simply do not flag. The same technology powers TAMI's tools for teams that want to find eCommerce merchants by payment provider and shipping partner.
How do you filter online merchants by size, location and technology?
You filter by the traits that match what you sell. A database only becomes a pipeline when you can cut it down to your ideal customer profile, meaning the type of company most likely to buy from you.
A fulfilment provider might want UK merchants shipping meaningful order volumes with a particular carrier. A payments company might target merchants processing through a competitor's checkout. A software vendor might need stores on 1 specific platform in 3 European markets.
Useful filters include:
- Country and region. Where the merchant is based.
- Merchant size. How big the online business is.
- Industry and sub-industry. What the merchant sells.
- Storefront platform. The software the shop runs on, for example Shopify.
- Payment company. Who processes its checkout.
- Shipping company. Which carriers move its orders.
The most productive lists often combine several of these. Lookalike building is the natural next step. Take the traits your best customers share, such as platform, providers, size and region, and find the merchants that match them. Read more about lookalike company targeting.
How do you build and export an eCommerce company list?
The path from filter to CRM should be short. It takes 3 steps:
- Preview first. Check the companies your filters return before spending credits.
- Pick the right people. Select verified decision-maker contacts rather than generic inbox addresses.
- Export cleanly. Send records straight to your CRM, including Salesforce, HubSpot, Microsoft Dynamics and Pipedrive, or to a CSV file. Remove duplicates against what your CRM already holds.
Teams that want a whole-market view before targeting can start from TAMI's eCommerce B2B market reports, which map merchants by region, size and provider. The end-to-end workflow, from merchant identification to exported eCommerce leads, sits inside TAMI's eCommerce lead generation product.
How often should eCommerce company data be updated?
Company-level data should be refreshed on a regular cycle, with contact-level checks running all the time. Online retail moves quickly. Merchants:
- Change platform. They rebuild the shop on new software.
- Switch payment provider. A new company processes their checkout.
- Add carriers. They ship with new delivery partners.
- Expand into new countries. They start selling in new markets.
- Close. Some shut down altogether.
Each of these changes can make a record wrong, or create a sales opportunity. A credible eCommerce company database keeps lists in line with the market as it is now, not as it was when the data was collected.
The same changes also tell you when to get in touch. A merchant that has just changed platform or entered a new market is often at exactly the moment when it is open to new suppliers. That makes fresh data a source of pipeline, not just good housekeeping.
Find online merchants by platform, payment provider and size. Start a free trial
