B2B data coverage by country: what actually determines it
Updated
Coverage is not a property of how big a provider's database is. It is a property of how many sources that provider can query on a given contact. A single-source vendor is capped by its own database. A vendor running a waterfall across dozens of sources is capped far higher, and the difference has been measured.
On the best-documented public benchmark available, the strongest single provider reached the right person on 51% of contacts. Two providers combined reached 60%. Ten reached 68%. That curve is the whole story, and it is why two tools at the same price do not deliver the same thing.
Why a US-built tool collapses outside the US
Because B2B data is not assembled the same way on both sides of the Atlantic.
In the United States, company and contact data circulates: aggregators, open filings, resale between vendors. In Europe it is fragmented by country, by language and by national register, and some of it is governed differently. A vendor that built its database on the US market does not have a European version of that database. It has a gap, which it fills by buying third-party data of uneven quality.
Buyers describe it in consistent language. The tool works, the volumes are there at home, and then coverage drops off noticeably the moment you leave the core market. The drop is worst on the field that matters most: not the email address, which is relatively reconstructible, but the mobile attached to the right person.
Two patterns worth naming because they come up constantly in buyer discussions:
The mirror problem. A Europe-first vendor is often thin in the United States, for the symmetric reason. "Fine for European contacts, spotty in the US" is as common a complaint as its opposite.
The tier problem. In India, coverage holds up in Tier-1 cities and thins out sharply below that. A provider that looks strong on Mumbai and Bangalore contacts can be close to unusable on Tier-2 manufacturing and SME targets, which for many ICPs is the actual market.
Non-English-speaking markets are where the depth question gets sharpest, and they are the markets vendor coverage claims are least likely to break out.
Coverage is a function of source count
Here is the result that settles the argument, because it is public, dated and reproducible.
In June 2026 an independent test pushed 1,400 US contacts through 10 providers, with line type checked against Trestle, line holder checked against IPQS, and an exact name match required before a number counted as the right person.
| Providers queried | Contacts reached on the right person |
|---|---|
| 1 (best single provider) | 51% |
| 2 combined | 60% |
| 10 combined | 68% |
Three things follow.
No single provider reaches even half your list. If your stack rests on one tool, you are working half your addressable market regardless of what the database size on the homepage says.
The second provider earns almost as much as the next eight. Marginal gains fall away fast, but the first step up is large.
And most useful when choosing: what produces coverage is not the advertised size of a database. It is the number of sources that can be queried on one contact.
The sample is US and the test was a single pass, so treat it as a solid order of magnitude rather than a truth about your market. The last section of this page is how you get your own figure.
The coverage questions to ask, country by country
A global coverage percentage is meaningless if one country carries your quarter. Ask for the breakdown, and ask for the denominator with it.
- How many sources are queried, and how many of them cover this specific country? A vendor with 30 sources of which 28 are US-based does not have 30 sources on Germany.
- Is coverage measured on contacts submitted or on contacts found? A vendor returning a number for 40% of your list and being right 95% of the time on those is not comparable to one returning 80% and being right 80% of the time. Both will quote you the high number.
- Are companies resolved against an official register or against a reconstructed directory? In France every establishment's registration number is public, and a vendor that accepts it will beat one that only takes a trade name, because a trade name is the weakest identifier there is. Ask the equivalent question for each market you sell into.
- What happens on small companies? This is the most common breaking point. Databases hold up on large documented accounts and thin out on the regional SME, which is frequently the real ICP.
- For India specifically: what is coverage below Tier-1? And is it sourced from company-registrar filings or from resale?
Where Listar stands
Our data structure combines a proprietary database with a waterfall across more than 35 providers queried on each contact.
What that implies is a claim about structure rather than about a percentage: by construction, a setup querying more than 35 sources cannot be less widely covered than a vendor limited to its own database. It is the benchmark curve above, pushed to its right-hand end. A single-source vendor is capped at its own ceiling. We are capped at the ceiling of the union of our sources.
France is where we are strongest, because companies there are resolved against the official registers rather than a reconstructed directory. The United States, the United Kingdom and India are where coverage is actively expanding.
What we do not publish, and why. We do not give a coverage percentage per country. Not for commercial reasons, but because we have not measured it to the standard we demand of other vendors across this site: a described protocol, an explicit denominator, a date. Publishing a per-country figure without those three would be exactly what we criticise in vendors who advertise 95% without saying 95% of what.
What we do measure and publish is the right-person rate on what we deliver: 95% of delivered mobiles confirmed as attached to the right person, from 10,000 real calls across 100 separate files of 100 numbers each, between May and September 2026, internal and not audited, with numbers delivered as the denominator.
Those are two different metrics. Coverage tells you how much of your list a vendor finds. Right-person rate tells you what the found records are worth. A serious vendor gives you both, and tells you which one it is quoting when it states a percentage.
Measure coverage on your market, not on ours
The only coverage figure that should decide your purchase is the one you get on your own list.
Take 300 to 500 contacts from your real target list, stratified by country and company size, include the segments you expect to be hard, send the identical list to every candidate vendor on the same day, and compute coverage per segment rather than overall. A vendor can win on aggregate and be unusable on the one country you need.
FAQ
What coverage rate should I expect from a B2B data provider? Ask what the denominator is before you compare any two figures, because vendors quote coverage on contacts found as often as on contacts submitted. Then measure your own on a sample of your real target list and set your threshold against that.
Why does coverage collapse on small companies? Because the sources vendors draw from document organisations that publish: large accounts, technology companies, listed businesses. For smaller companies, resolution against an official register matters more than database size.
Is a provider with more sources always better? On coverage, a multi-source setup beats a single-source one by construction. On the quality of what is delivered, no. Coverage and attachment to the right person are two separate problems solved by two separate mechanisms, and a vendor can be strong on one and weak on the other.
How do I compare two providers on one specific country? Same list, same day, identical denominator, broken out by country. Any other comparison will mislead you, which is the point of running a structured test.
Which markets are hardest for B2B mobile data? Non-English-speaking markets with fragmented national registers, and anything below the largest cities in markets where coverage is built from resale rather than from filings. Those are also the markets vendors are least likely to break out in a coverage claim.
Sources
- Outbound Kitchen, The 2026 B2B Mobile Data Benchmark, June 2026, 1,400 US contacts, 10 providers, dataset published
- Annuaire des entreprises, SIRENE data, on the public status of French establishment identifiers
- Vendor pricing pages and public documentation, consulted 11 November 2026