Almost every outbound team buys data from someone. The providers look alike from the outside, and their claims about size and accuracy are hard to compare. This guide explains what a data provider actually sells, the three things that separate them, how to test one on your own list, and when you may not need one at all.
01
What a B2B data provider does
A B2B data provider sells facts about companies and the people who work there. Company facts, often called firmographics, cover size, industry, location and revenue. Contact facts cover names, titles, emails and phone numbers. Some providers add technographic data about the tools a company runs.
Many of these products are sold as sales intelligence tools, and some add signals about which companies are researching a topic. That kind of data has its own trade-offs, covered in the guide to intent data providers.
The data comes from a mix of sources: public websites and filings, data shared by users of the provider's own tools, partners, and research teams. The mix decides what a provider is good at, which is why two providers can give very different answers about the same company.
02
The kinds of data provider
| Kind | What you get | Fits when |
|---|---|---|
| Large database | Companies and contacts in one place, with filters to build lists | You build many lists across a broad market |
| Contact finder | Emails and phone numbers for people you have already chosen | You know who to contact and need a way to reach them |
| Enrichment | Missing fields filled in on a list you already have, often from several sources | Your list is good but incomplete |
| People search | Search across professional profiles, with alerts when people change jobs | You prospect person by person, mostly on LinkedIn |
Enrichment that tries several providers in turn, until one returns an answer, is called waterfall enrichment. It raises coverage, at the cost of more moving parts.
03
Coverage, accuracy and freshness
Three things separate one provider from another, and no provider leads on all three everywhere.
- Coverage. Does it have your target companies, and the right people inside them? Coverage often varies by country, industry and company size. A provider strong on large US firms can be thin on small European ones.
- Accuracy. Are the emails deliverable, the phone numbers live and the titles right? Wrong data costs twice: wasted effort, and bounces that hurt your sending reputation.
- Freshness. People change jobs, and companies grow, shrink and get bought. Ask how often records are checked, and how a change of job shows up.
Headline database sizes say little about any of these for your market. Your own sample says much more. The same test applies to claims that AI improves the data, as the guide to AI prospecting tools explains.
04
How to test a data provider on your own list
- Pick a sample you know. Choose 20 of your real target accounts, and a handful of people whose details you can confirm.
- Ask each provider for the same sample. Use a trial or ask sales for a test export. Keep the sample identical across providers.
- Check coverage. How many of the accounts does it have, and how many of the people you would actually contact?
- Check accuracy. Verify the emails before sending, and compare titles and numbers with what you know. What each verifier result means is covered in how to build a B2B email list.
- Check freshness. Look for people you know have left. A provider that still lists them is behind.
- Count with the base. Write "14 of 20 accounts found", not "good coverage", so you can compare providers fairly.
05
B2B data providers, from their own pages
What each vendor says about its own product, in its own words, with no ranking. Taken from each vendor's own pages, checked on 9 November 2026. Listed alphabetically.
| Provider | Kind | What the vendor says it does | Free plan or trial | Pricing published |
|---|---|---|---|---|
| Apollo | Database with sending | "One connected AI GTM system: data, intelligence, and execution" | Free plan; 14-day trial | Yes |
| Clay | Combines many sources | "Infrastructure to get any data, run agentic workflows, and launch GTM plays" | Free plan; 14-day trial | Yes |
| Cognism | Database | "Premium sales intelligence" | Free data sample | On request |
| FullEnrich | Enrichment | A "waterfall enrichment platform with 20+ providers" for emails and phone numbers | Free trial, 50 credits | Yes |
| LinkedIn Sales Navigator | People search | "AI-powered B2B sales tool made for individual sellers and sales teams" | Free trial | Yes |
| Lusha | Contact finder | "Verified global B2B data" | Free plan, 40 credits a month | Yes |
| RocketReach | Contact finder | Finds "email, phone and social media" for professionals | Sign up free | Yes |
| Seamless.AI | Contact finder | "AI-powered lead generation software" to find verified B2B contacts, direct dials and emails | Free up to 50 credits | On request |
| UpLead | Database | A "real time verified B2B database", with built-in email verification | 7-day trial, 5 credits | Yes |
| ZoomInfo | Database | "B2B sales prospecting software" for identifying your ideal customer profile and ready-to-buy prospects | Free trial | On request |
No vendor paid to be listed, and nothing here is a rating. Plans and limits change often, so check each vendor's page before you buy.
Replacing a tool you already use? See the ZoomInfo alternatives and the Apollo alternatives.
If you mostly use Clay to combine sources, the Clay alternatives guide compares the options.
06
When you may not need a data provider
A data provider earns its cost when your market is large and you build new lists often. It earns less when you sell to a few hundred known companies, when your buyers are easy to find on LinkedIn, or when your problem is knowing which companies to contact now rather than how to reach them.
In those cases, a short list built by hand from your ideal customer profile, plus a contact finder for the last step, may be all you need. Spend the rest of the budget on finding a reason to write.
07
Common mistakes when buying data
Buying on database size. A large total says nothing about your market.
Testing on a list the vendor chose. Their sample shows their strengths, not yours.
Skipping verification. Unchecked emails turn into bounces, and bounces hurt every later send.
Buying more data than you can work. A list you never contact is cost with no return.
Ignoring how the data is collected. In Europe especially, ask how personal data is gathered and on what basis it is used.
08
The data provider checklist
Before you sign
- You know which kind of provider you need.
- You tested coverage on 20 of your own target accounts.
- You checked accuracy and freshness on people you know.
- You compared two or three providers on the same sample.
- Collection and consent are clear for your markets.
- You have a plan to work the data you buy.
09
Where to go next
Data is one layer of the stack. For the tools around it, see B2B prospecting tools, and for turning a list into conversations, read how to build a prospect list.