TL;DR
- Shortlist Cognism when European prospecting, mobile data and a guided enterprise data purchase are central.
- Shortlist Lusha for a self-serve route with published credit-based plans, and Kaspr for LinkedIn-centred contact retrieval.
- Consider Dealfront when European company intelligence and market-building matter alongside contact data.
- No provider makes outreach compliant by itself. Geography, data source, lawful basis, suppression and campaign practice remain the buyer’s responsibility.
Contents
- Quick comparison
- What changes in a European database decision
- Cognism: best for a guided European data purchase
- Lusha: best for a self-serve starting point
- Kaspr: best for LinkedIn-centred retrieval
- Dealfront: best for European market and company intelligence
- How to test coverage and cost
- FAQ: European B2B contact databases
Quick comparison
| Provider | Strong European use case | Buying unit to inspect |
|---|---|---|
| Cognism | Multi-country prospecting and CRM enrichment | Seats, revealed contacts, enrichment and API or bulk delivery |
| Lusha | Self-serve prospecting with published plan options | Credits, users, exports and selected contact fields |
| Kaspr | Contact retrieval from LinkedIn-oriented workflows | Email and phone credits, users and plan limits |
| Dealfront | European company discovery and GTM intelligence | Company coverage, contacts, intent features and integration scope |
Run a country-by-country test. “European coverage” can hide large differences between the UK, DACH, France, Nordics, Southern Europe and smaller markets.
What changes in a European database decision
A European sales team needs more than a global record count. It needs useful coverage in the exact countries, languages, company sizes and functions it sells to. Mobile availability, legal-entity structure and company-domain patterns can vary materially by market.
Define permitted fields and their intended use before the trial. The platform can describe its own compliance programme, but your organisation still decides why data is processed, how objections are handled and when records are removed.
Keep work email, mobile, office number and profile URL as separate fields. A provider’s success on one does not establish its quality on another.
Cognism: best for a guided European data purchase
Cognism sells sales intelligence, CRM enrichment and data-as-a-service. Its current pricing page describes Standard and Pro prospecting packages with five seats included, while CRM enrichment and API or bulk delivery can be added or bought under their stated configurations.
Credits are used to reveal, enrich or export contacts, with one credit described as one revealed contact. That makes the quote easier to model when it states the included allocation and expected new records.
Best fit: teams buying across several European countries and willing to evaluate data, support and workflow together.
Tradeoff: list prices are not published for the main prospecting packages. Ask for seats, credits, mobile verification, intent, enrichment and delivery as explicit lines, then test the proposed configuration against representative accounts.
Lusha: best for a self-serve starting point
Lusha publishes plan options and uses credits for contact access. It is relevant to teams that want to start with individual or small-team prospecting before moving into a larger data contract.
Test the exact contact types required. A plan’s credit allowance may treat emails and phones differently, and an available company record does not imply every target persona has a mobile number.
Best fit: teams that value a visible purchase route and straightforward browser or prospecting workflows.
Tradeoff: a published entry tier should not be compared with a negotiated enterprise package as if their users, fields and rights match. Model usable contacts in the priority European markets.
Kaspr: best for LinkedIn-centred retrieval
Kaspr is designed around retrieving and managing B2B contact data in workflows that often begin with a LinkedIn profile or list. Its pricing distinguishes plan allowances for contact information and team use.
This input model is useful when sellers already identify the right people through LinkedIn and need contact details. It is less direct when operations wants to generate a complete market from firmographic criteria without starting profiles.
Best fit: European sales teams whose research process begins with known professional profiles.
Tradeoff: check coverage outside the markets and personas shown in the demonstration. Keep the profile identifier with every result so job changes and duplicate names can be resolved.
Dealfront: best for European market and company intelligence
Dealfront combines European GTM data and company-intelligence use cases. It belongs on the shortlist when account discovery, company context and activation matter alongside individual contacts.
Ask the vendor to build a market segment using your countries, industries and employee bands, then inspect the accounts that should and should not appear. Follow by testing the required decision-maker roles.
Best fit: teams that want European account intelligence rather than a contact-reveal tool alone.
Tradeoff: a broader platform can overlap with intent, website-visitor and enrichment products. Price only the functions the team will operate and identify which existing subscriptions can be retired.
How to test coverage and cost
Select 100 to 300 known accounts across priority countries, including subsidiaries and companies with local-language names. Define target roles and independently known contacts before running the test.
Measure correct company match, suitable people, usable work emails, required phone type and stale-role findings. Keep “not returned” separate from “returned but wrong.” Do not convert the result into a universal accuracy claim.
For cost, include seats, reveals, exports, API calls, enrichment maintenance and the work needed to review uncertain records. A quote with unlimited viewing can still meter new contact reveals.
Choose the provider that produces the best usable result in the countries that drive the sales plan, with terms and workflow the team can maintain.
FAQ: European B2B contact databases
Which database is best for GDPR compliance?
No software purchase makes a campaign compliant by itself. Evaluate vendor practices and your own purpose, lawful basis, notices, suppression and rights handling.
Is Cognism pricing credit-based?
Its current pricing page says credits reveal, enrich or export contacts. Obtain the allocation and add-on scope in the quote.
Should we use one provider across Europe?
Only if the country-level test supports it. A primary provider plus a targeted specialist can be rational when coverage gaps are concentrated.
Do LinkedIn-centred tools replace company search?
They are strongest when the right profiles are already identified. A separate company-discovery source may still be needed.
What should the trial report show?
Results by country, company type, persona and contact field, including missing and stale records. A single blended rate can hide the market that matters most.
The source is one part of the data workflow. Our guide to b2b data enrichment tools covers the adjacent options.
Sources and comparison method
The recommendations are editorial assessments of workflow fit, not results from a comparative product test. Supporting product references are linked below; prices and plan entitlements should be confirmed for the configuration being purchased.
Work with Forma Nôrden
Forma Nôrden builds European outbound data workflows around country-level coverage, defensible record use and CRM ownership. We help teams turn a vendor trial into a buying decision grounded in their actual market. Explore how we work.
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