Kaspr vs Lusha — which B2B contact tool is better | DataSend.ai

Introduction: Two Chrome extensions, two different markets

Kaspr and Lusha address the same problem — you open a LinkedIn profile and need the email address or phone number of that person. Both function as browser extensions, both promise verified contact data, and both have a free tier for testing.

But their strengths lie elsewhere. Kaspr is built around LinkedIn and the European market. Lusha relies on a broader database with a focus on direct phone numbers and depth in North America.

This article will compare them fairly, and at the end, we will look at a third option if you are targeting companies in Central Europe.

1. Data Quality: Emails and Phone Numbers

Kaspr achieves the best results for European B2B email addresses — especially for contacts in France, Germany, and the UK, particularly in the mid-sized and larger company segments. For American contacts, accuracy is more variable. Kaspr is part of the Cognism group and utilizes its data infrastructure, giving it access to phone-verified numbers.

Lusha has stronger coverage in North America and better results for American contacts, especially at the enterprise level. Its European coverage is solid, but in some markets, it is thinner than Kaspr. Its domain is direct phone lines.

Practical conclusion: For teams primarily targeting Western Europe, Kaspr's email accuracy is an advantage. For teams focused on North America, Lusha's depth is greater.

2. Chrome Extension and Usability

Kaspr is LinkedIn-native. The entire workflow is built around browsing profiles and Sales Navigator. It supports bulk extraction of contacts from saved lists in Sales Navigator, which significantly saves time for larger batches.

Lusha has a broader scope. It works not only on LinkedIn but also on company websites and other environments. The extension is more universal but less specialized in LinkedIn workflows.

Practical conclusion: If you work exclusively in LinkedIn and Sales Navigator, Kaspr is more purposeful. If you are prospecting from company websites and other sources, Lusha has a wider reach.

3. Pricing

Kaspr starts at approximately 49 euros per month for access to European phone data and offers a free tier. The model is credit-based — each unlocked contact consumes a credit.

Lusha has a freemium model with a few free credits and paid plans starting from about 29 to 52 USD per user per month. It also uses a credit system.

Important detail: For small teams (1-5 people), both tools are similarly priced. For larger teams (10+), Lusha's team plans often have a more favorable economy per user.

Neither publishes fully transparent pricing for larger volumes — higher levels are set up through a salesperson.

4. Direct Comparison

Email accuracy in Europe: Kaspr — better, especially FR, DE, UK. Lusha — solid, but thinner in some European markets.

Accuracy in North America: Kaspr — variable. Lusha — stronger, especially in the enterprise segment.

Phone numbers: Kaspr — European mobiles and direct lines via Cognism's infrastructure. Lusha — direct lines, a strong point for the US market.

LinkedIn workflow: Kaspr — native, including bulk processing from Sales Navigator. Lusha — works, but with a more universal focus.

Price for a small team: Kaspr — from ~49 euros per month. Lusha — from ~29 USD per user per month.

Price for a larger team: Kaspr — credit-based model. Lusha — more favorable economics per user at 10+ licenses.

GDPR: Kaspr — compliance framework of Cognism. Lusha — GDPR-compliant European contacts (claims approximately 21 million).

5. Common Weakness: Neither is a Database

This is a point that often gets lost in comparisons of Kaspr vs Lusha, although it is fundamental.

Neither of these tools will tell you who to reach out to. Both work in such a way that you have a specific profile or company in front of you and want to get in touch with them.

But the question "what is this person's email" is simpler than the question "which 300 companies should I reach out to this month". And it is on the second question that most outreach efforts fail.

If you want to build a list of construction companies in Austria with a turnover of over one million euros, neither Kaspr nor Lusha will create it for you. For that, you need a database with company filters — industry, turnover, number of employees, region.

Second common weakness: neither has email campaigns, warmup, response management, or CRM. You get the contact and then export it to three other tools.

6. Third Weakness: LinkedIn is Not the Entire Market

Both tools assume that your customers are on LinkedIn. In tech, SaaS, marketing, or consulting, this is a safe assumption.

In Central Europe, however, the market structure is different. The largest industries by number of companies are construction, trade, manufacturing, transport, and hospitality. A construction company owner in Nitra or a guesthouse operator in the Tatras is often not on LinkedIn at all — or has a profile they last opened years ago.

Their company has a VAT number, website, phone, and company email. But no social media profile. For such a customer, both Kaspr and Lusha are unusable because there is no one to "pull out".

7. A Third Option for the Central European Market

If you are targeting companies in Central Europe, it is worth considering a different approach — instead of pulling contacts from profiles, work with a database built on business registers.

DataSend.ai contains 12.5 million companies in 7 countries: Germany (5.92M), Poland (2.58M), Austria (1.28M), Switzerland (1.03M), Czech Republic (725K), Slovakia (647K), and Hungary (287K). Additionally, it has 8 million verified contacts with a bounce rate below 5%.

Difference in Approach:

Instead of searching profile by profile, you filter the entire market — industry, region, turnover, number of employees, web score, e-shop detection. In a few minutes, you have a list of hundreds of companies that meet your criteria.

And instead of exporting to other tools:

AI-personalized campaigns can be launched directly from the platform. AI Grammar Variables generate grammatically correct forms in 6 languages. Follow-ups run automatically. Responses are sorted by AI in Unibox based on interest, sentiment, and urgency. You track deals in the built-in Pipeline.

Price: flat rate from 89 USD per month for the entire team — no credits and no per-seat fees.

8. Quick Summary

Kaspr — better for LinkedIn-centric workflows in Western Europe, especially if you need verified phone numbers.

Lusha — better for the North American market and broader prospecting outside of LinkedIn, with a more favorable economy for larger teams.

DataSend.ai — better if you are targeting Central European companies, need to filter the entire market, and want campaigns, personalization, and CRM in one tool.

Conclusion: The question is not just "what is their email"

Both Kaspr and Lusha are good tools for what they do — they quickly provide you with a contact for a person you already have in front of you.

But outreach does not start with a contact. It starts with the question of whom to actually reach out to. And it continues with personalization, follow-ups, sorting responses, and tracking deals.

If your customers live on LinkedIn and you have the rest of the process figured out, choose based on the market — Kaspr for Europe, Lusha for America. If not, you need something else.

Are you targeting companies that you can't find on LinkedIn? DataSend.ai — 12.5 million companies from 7 countries, AI personalization in 6 languages, campaigns, and CRM in one.

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