Kaspr vs Lusha: which B2B enrichment tool to choose in 2025?

Mar 09, 2025 8 min read

Choosing between Kaspr and Lusha to enrich B2B contacts is a question many sales teams ask. Both tools promise verified emails and direct phone numbers, but their approaches differ significantly. The problem is that comparing Kaspr vs Lusha without understanding the structural limits of each solution often leads to a disappointing choice — and to hit rates well below expectations.

This article reviews the features, pricing, data quality, and real limits of each platform. You'll also find an analysis grid to identify what really matters when choosing a data enrichment tool.

Kaspr and Lusha: two approaches to B2B enrichment

Kaspr: LinkedIn-centric prospecting

Kaspr is a French tool, now owned by the Cognism group. Its main strength lies in its Chrome extension integrated with LinkedIn and Sales Navigator. With one click on a profile, the user gets the contact's professional email and phone number, directly usable in a CRM.

The tool relies on a base of more than 90 million phone numbers and claims real-time data verification at query time. This "LinkedIn-first" approach particularly appeals to SDRs and reps spending most of their day on the professional network.

The economic model rests on a monthly credit system. The free plan offers limited access (a few phone and email credits), while the Starter plan starts around €59 per month per license, with more generous credits and Sales Navigator access.

Lusha: a global proprietary database

Lusha, founded in Israel in 2016, has built a proprietary database of more than 150 million professional profiles. Unlike Kaspr, its extension works beyond LinkedIn: it extracts data from company websites, Gmail, and other platforms.

The tool stands out for its bulk enrichment features, technographic data, and buying-intent signals on higher plans. SOC 2 Type II certification and GDPR/CCPA compliance reinforce its positioning with organizations focused on data governance.

On pricing, Lusha offers a free plan capped at 70 credits per month. The Pro plan starts around $29 per month per user (annual billing), and the Premium plan goes up to about $52 per month per user. One credit unlocks an email; usually 10 are needed to get a phone number.

Detailed comparison: features, data and integrations

CriterionKasprLusha
Database90M+ phone numbers150M+ professional profiles
Browser extensionChrome only (LinkedIn, Sales Navigator)Chrome, Firefox, Edge (LinkedIn, websites, Gmail)
Bulk enrichmentCSV import, limited workflows by planCSV import, bulk enrichment, CRM enrichment
Data verificationReal-time at query timeDouble validation (human + AI)
Intent dataNot availableAvailable on Premium and Scale plans
CRM integrationsSalesforce, HubSpot, Pipedrive, Lemlist, AircallSalesforce, HubSpot, Pipedrive, Outreach, SalesLoft
API access~$6,000/year~$7,000/year, included on some plans
ComplianceGDPR, servers in FranceGDPR, CCPA, SOC 2 Type II
G2 rating4.4/54.3/5

Both tools cover the fundamental B2B prospecting use cases. Kaspr excels in a fast, lightweight LinkedIn workflow. Lusha offers more depth for teams that need volume enrichment and firmographic data.

Data quality: the criterion that really makes the difference

Emails: "found" doesn't mean "delivered"

An email can be syntactically valid without actually reaching the recipient's inbox. Addresses on "catch-all" servers, generic accounts (contact@, info@), and stale addresses represent a significant share of any enrichment tool's raw output.

Kaspr verifies its data at query time by cross-referencing about 120 sources. Lusha claims a validation process combining human verification and AI checks. In both cases, the announced accuracy rates — around 87 to 93% depending on sources and geographies — only reflect part of the reality. Effective deliverability rate depends on the sector, the targeted seniority, and the geographic market.

Phones: the question of coverage and reachability

Phone data is often the lifeblood of outbound prospecting. Yet the difference between a company switchboard number and a direct mobile is considerable in terms of real reachability.

Kaspr shows strong European coverage thanks to the Cognism database, with variable results outside the continent. Lusha gets better results in North America, but its European — and especially French — coverage lags behind, according to several user reports.

The crucial point is that both solutions each rely on a single data set. When their database doesn't contain the sought-after contact, there's no fallback mechanism. The credit is either consumed without result, or the search simply returns "not found."

Pricing and real cost per contact

The advertised price per credit only tells part of the story. The real cost depends on the effective hit rate on your target.

Kaspr (Starter)Lusha (Pro, annual)
Monthly price~€59/license~$29/user
Phone credits/month~1,200Variable by plan
Cost per number found~€0.40 to €0.45~$1.10 to $1.23
Unused creditsLost at end of period (except Starter)Rollover possible up to 2x monthly limit
API accessAdd-onAdd-on (except Scale)

An often-neglected detail: if your hit rate is 60%, every effectively found contact actually costs you 40% more than the advertised unit price. That mechanic penalizes single-source tools, whose coverage is structurally capped by the size of their own database.

The structural limits of a single-source tool

Kaspr and Lusha are both single data providers. Each has its own database, with its geographic and sectoral strengths — but also its blind spots.

Concretely, that means three things for the user:

Enrichment rate caps. No single provider covers the entire market. Hit rates generally swing between 50 and 70% depending on the target, leaving a third or more of your prospects without usable contact details.

Quality depends on a single verification source. Even with rigorous validation processes, relying on a single data pipeline exposes you to systematic biases: some sectors or geographies will be structurally better covered than others.

Total cost climbs if you stack tools. Faced with these limits, many teams subscribe to two or even three solutions in parallel to cover each one's gaps. That multiplies subscriptions, complicates workflows, and weighs down credit management.

It's precisely that problem the so-called "augmented waterfall" approach aims to solve. Rather than depending on a single provider, a cascade enrichment platform sequentially queries multiple data sources — sometimes dozens — until it gets a result. That mechanism maximizes hit rate while applying triple verification (syntax, server, deliverability) to every returned contact.

How to choose the right B2B enrichment tool

Rather than looking for "the best" tool in absolute terms, ask yourself the right questions:

What's your current hit rate, and how many contacts stay without details after enrichment? If that figure exceeds 30 to 40%, a single-source tool likely won't be enough, whichever you pick.

What's your main geographic market? Kaspr will perform better on Europe, Lusha on North America. If your target is international, neither will cover everything.

How many tools are you willing to manage? If the answer is "only one," it's worth evaluating platforms that natively aggregate multiple data sources rather than locking into a single provider.

What level of verification do you require? A simple syntactic check doesn't guarantee deliverability. Approaches that combine syntax verification, mail server query, and deliverability test significantly reduce bounce rates.

Enrichment coverage — the percentage of contacts for which you obtain a verified, usable contact — remains the most important KPI. That's the criterion on which one tool truly distinguishes itself from another.

Conclusion

Kaspr and Lusha each address a real need. Kaspr fits teams prospecting mainly on LinkedIn and targeting the European market. Lusha targets organizations more focused on a global database, volume enrichment, and advanced firmographic data.

But the real challenge isn't picking between these two solutions. It's understanding that a single provider — whichever one — has a structural coverage ceiling. Teams that reach enrichment rates above 80% rarely do so with a single tool. They use either several solutions in parallel, or a platform able to query many sources in cascade and apply rigorous verification to every result.

It's that augmented waterfall logic, combined with a proprietary dataset and triple verification, that allows breaking past the limits of classic solutions — and obtaining contacts that are actually usable, not simply raw volume.

« The enrichment engine that finds what others miss. »

Discover the platform
Free tools

Save time with our free tools

See all tools