Every data vendor's accuracy percentage is a number they chose. The only one that counts is the one you measure on your own list, in your own segment, before you pay. Independent testing in 2026 keeps finding the same gap: self-reported vendor accuracy runs 15 to 25 points higher than
Every data vendor's accuracy percentage is a number they chose. The only one that counts is the one you measure on your own list, in your own segment, before you pay. Independent testing in 2026 keeps finding the same gap: self-reported vendor accuracy runs 15 to 25 points higher than what buyers measure in blind tests (Cleanlist / G2 analysis, July 2026). A provider can be genuinely strong in one geography and title band and weak in another, and its headline number averages over all of it. This comparison covers the main B2B data providers, ZoomInfo, Apollo, Cognism, Lusha, RocketReach, and InboundLabs, but the structure matters more than the table: it is a test you run, scoring each provider on a sample of your own accounts against fixed criteria, so the decision rests on your numbers instead of theirs.
A B2B data provider is a company that sells access to a database of business contact and company records, typically including names, job titles, work emails, phone numbers, and firmographic attributes like industry, headcount, and location. Providers differ in database size, geographic strength, phone-number verification, refresh frequency, compliance process, and pricing model.
A provider that advertises "95% accuracy" has chosen the sample, the definition of accurate, and the test date. A March 2026 benchmark ran 1,000 identical leads through two major providers and found one ahead on mobile phone match (roughly 67% versus 41%) and modestly ahead on email (roughly 84% versus 78%), while both vendors' own marketing claimed numbers in the low-to-mid 90s (independent benchmark cited by Cognism, March 2026). Apollo's advertised accuracy sits near 91%, while independent real-world measurements have landed between 65% and 80% depending on the list (Cleanlist / G2, July 2026).
The takeaway is not that vendors lie. It is that "accuracy" has no shared definition, so the only comparable number is the one you generate yourself, on the accounts you actually sell to. This is the same logic behind testing a data sample before you buy.
All figures below were checked September 2026 from public pricing pages and current third-party reviews. Treat them as a starting point, not a substitute for your own test, and re-check before you buy because pricing and coverage move.
| Provider | Pricing model | Public entry price | Geographic strength | Notes |
|---|---|---|---|---|
| ZoomInfo | Annual, custom quote | Reported to start near $15,000/yr, mid-market often $40,000+ | Strongest in North America | No public per-seat pricing; benchmark-strong on US phone data |
| Apollo | Per seat, monthly or annual | Free tier; paid from roughly $49/user/mo | Broad, deepest in North America | Combines database with sequencing; independent accuracy 65 to 80% |
| Cognism | Annual, custom quote | Commonly cited near $25,000/yr | Strongest in EMEA, strong UK | Phone-verified "Diamond" subset; DNC screening across 30+ countries |
| Lusha | Per seat, monthly or annual | Paid from roughly $49/user/mo | North America and Europe | Popular for self-serve and browser-based lookups |
| RocketReach | Per seat, monthly or annual | Paid from roughly $80/mo | Broad, shallow in some regions | Large claimed contact count; email focus |
| InboundLabs | Monthly, no annual lock-in | Free to start, no credit card required | Filter by industry, headcount, region, and title | Database of 280M verified B2B contacts; 98% email deliverability on verified contacts; verified direct dials, not switchboard numbers |
When you score providers, these are the dimensions where real differences show up. Rate each provider 1 to 5 on your own sample.
The Verify-Your-Own-Sample Rule: never choose a B2B data provider on its published accuracy number. Pull a sample of 50 to 100 of your own target accounts, run them through each provider's trial or a paid pilot, and measure email bounce rate, mobile phone match rate, and title accuracy yourself. The provider that wins on your sample, in your segment, is the right one regardless of whose marketing number is higher.
Run the test the same way for every provider: same account list, same fields, same person checking. Score each on the five criteria above, weight the criteria by what your motion needs (phone-heavy outbound weights mobile match; email-only weights deliverability), and total it. A pilot week costs far less than a year on the wrong annual contract.
"Every data vendor's accuracy percentage is a number they chose. The only one that counts is the one you measure on your own list before you pay."
Build the scorecard as a shared sheet before you contact any vendor, so the comparison is apples to apples and the sales conversations do not reframe your criteria.
The test tells you which provider fits, but these patterns hold often enough to guide where you start:
InboundLabs is one row in the test, and it is built to be easy to pilot: free to start, no credit card required, so you can run your own sample before committing.
It is a B2B contact database with a database of 280M verified B2B contacts and 98% email deliverability on verified contacts, plus verified direct dials, not switchboard numbers. You can filter by industry, headcount, region, and title, with buyer intent signals layered on firmographic data. Monthly plans, no annual lock-in, which means a bad fit costs you a month, not a year. Compare it head to head with ZoomInfo alternatives and Apollo alternatives on your own list.
Run your own sample through InboundLabs free → inboundlabs.app
B2B data providers publish accuracy numbers they designed, and independent 2026 testing consistently finds those numbers 15 to 25 points above what buyers measure themselves. So do not compare vendors on their marketing. Pull 50 to 100 of your own target accounts, run them through each provider, and score email deliverability, mobile phone match, geographic depth, refresh frequency, and compliance process on that sample. Weight the criteria by your motion, total the scores, and buy the winner. Prefer monthly terms while you are still testing. Start your sample free at inboundlabs.app.
The most widely used are ZoomInfo, Apollo, Cognism, Lusha, and RocketReach, with InboundLabs and others competing on specific strengths. They differ in database size, geographic depth, phone verification, pricing model (monthly per seat versus annual custom quote), and compliance process. No single provider leads on every dimension.
There is no fixed answer, because accuracy varies by geography, job title band, and how recently records were verified. Independent 2026 benchmarks show providers trading the lead depending on the list. The only reliable measure is a blind test on a sample of your own target accounts before you buy.
Because "accuracy" has no shared definition. Each vendor chooses the sample, the metric, and the test date. Independent testing in 2026 found self-reported accuracy running 15 to 25 points higher than buyer-measured results, and one benchmark showed mobile phone match rates from the low 40s to high 60s for the same list across providers.
Models split into two groups. Per-seat monthly tools (Apollo, Lusha, RocketReach) start around $49 to $80 per user per month. Enterprise providers (ZoomInfo, Cognism) use annual custom quotes, commonly cited between $15,000 and $40,000+ per year. Some providers, including InboundLabs, offer a free tier and monthly plans with no annual lock-in. All figures checked September 2026.
Pull 50 to 100 of your real target accounts with names and companies. Run the list through each provider's trial or a short paid pilot. Measure three things yourself: email bounce rate on a test send, mobile phone match rate when reps dial, and job-title accuracy against LinkedIn. Score each provider and compare totals.
Not while you are still testing fit. An annual contract on the wrong provider costs a full year; a monthly plan costs one month. Once a provider has won a real sample test and performed for a quarter, an annual deal can make sense for the discount. Before that, keep the option to leave.
LSI keywords: b2b data providers, sales intelligence comparison, contact database accuracy, ZoomInfo, Apollo, Cognism, Lusha, RocketReach, mobile phone match rate, email deliverability, data sample test, GDPR compliance, pricing model
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No commitment. No credit card. Just 50 free verified contact lookups.