B2B Phone Number Database: Verified Mobile and Direct-Dial Data
06/08/2026
Sales Intelligence for Fintech and Payments Companies
07/08/2026
An eCommerce company database identifies businesses that genuinely sell online and pairs each one with verified eCommerce company contact data: the decision-makers, email addresses and phone numbers a sales team needs to reach them. The hard part is the first half of that sentence. "eCommerce" has never been a standard industry classification, so conventional business databases cannot reliably tell an online merchant apart from any other company with a website. Purpose-built databases solve the problem by reading live website evidence, including 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 eCommerce prospecting is different
Most company data is organised around SIC and NAICS codes, and those classification systems predate online selling entirely. A direct-to-consumer brand processing thousands of orders a month and a dormant wholesaler with a brochure site can sit under the same industry heading, with nothing in the record to separate them. Merchant scale is equally invisible on paper, because revenue from an online store rarely appears in any public field. Yet for agencies, logistics providers, payment companies and software vendors, "sells online, at roughly this size, in this region" is precisely the filter they need. Standard tools cannot supply it, which is why online merchant data has become its own category.
How online merchants are identified
Every functioning online store runs on a stack, and most of that stack is observable. Signal-based identification reads it directly.
|
Signal |
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, which scans the live web and identifies companies that actually transact online, together with their payment providers, shipping partners, store technology and merchant size. Because the detection runs on current website evidence rather than static industry codes, it surfaces merchants that conventional databases simply do not flag. The same technology powers TAMI's tools for teams that want to find eCommerce merchants by payment and shipping signals.
Filtering by size, geography and technology
A database only becomes a pipeline when you can cut it to your ideal customer profile, and the right filters depend on what you sell. 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 one specific platform in three European markets. Useful filters therefore include country and region, merchant size, industry and sub-industry, storefront platform, payment company and shipping company, and the most productive lists often combine several. Lookalike building is the natural extension: take the traits your best customers share, platform, providers, size, region, and surface the merchants that match them.
Building and exporting a list
The workflow from filter to CRM should be short. Preview the companies your filters return before spending credits, select verified decision-maker contacts rather than generic inbox addresses, and export directly to Salesforce, HubSpot or CSV with de-duplication 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, and the end-to-end workflow, from merchant identification to exported eCommerce leads, sits inside TAMI's eCommerce lead generation product.
Keeping merchant data current
Online retail moves quickly. Merchants replatform, switch payment providers, add carriers, expand into new countries and sometimes close, and every one of those changes can invalidate a record or create an opportunity. A credible eCommerce company database therefore refreshes company-level data on a regular cadence, with contact-level checks running continuously, so that lists reflect the market as it is rather than as it was at collection. The same movement doubles as a timing signal: 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, which makes freshness a source of pipeline rather than mere hygiene.
Frequently asked questions
What is an eCommerce company database?
It is a maintained dataset of companies verified as selling online, enriched with attributes such as platform, payment provider, shipping partner, size and region, and paired with verified contact details for the people who run them.
How can you tell whether a company actually sells online?
By evidence on its website: a live storefront platform, payment providers at checkout, and shipping or fulfilment tools in the stack. Two or three of these signals together are close to proof, which is why signal-based detection outperforms industry codes.
Can I filter online merchants by platform or payment provider?
Yes. Signal-based databases such as TAMI let you filter by storefront platform, payment company, shipping company, merchant size, industry and region, and combine those filters to match your ideal customer profile.
How often should eCommerce company data be refreshed?
Company-level data should refresh at least monthly, with contact-level verification running in real time. Merchants change platforms, providers and personnel quickly enough that anything less leaves a list materially out of date within a quarter.
