SoftwareGlimpse

Kaspr vs Lusha

Compare Kaspr and Lusha on features, pricing, and buyer fit using the same researched criteria.

Independently recommendedLast updated Aug 17, 202610 evidence sources15 screenshotsHow we compare
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Kaspr logo

Kaspr

6.3/10

LinkedIn-centric EU/EMEA B2B contact capture (Chrome) — Free plan; Starter from $49/mo annual headline.

Best for

  • EU LinkedIn/Sales Navigator reveal workflows
  • SMB teams capturing phones/emails from LinkedIn into CRM

Starting from $49.00/user/mo

Free plan available

VS

Our verdict

Our verdict

No universal winner

No universal winner. Kaspr is LinkedIn-centric EU/EMEA capture; Lusha is broader enrichment-first contact data with Engage. Choose by LinkedIn Chrome workflow vs enrichment/signals depth.

Lusha is better for

  • Contact data
  • Email outreach
  • Integrations

Tie

  • Ease of use
  • Prospecting
  • Value for money

Choose Kaspr if: EU LinkedIn/Sales Navigator reveal workflows

Choose Lusha if: Enriching existing records with signals and Engage

See detailed comparison ↓
Lusha logo

Lusha

5.6/10

B2B data intelligence platform for verified contact/company data, enrichment, signals, and Engage outreach sequences.

Best for

  • Enriching existing records with signals and Engage
  • Teams needing broader enrichment beyond LinkedIn-only capture

Free plan available

Pros & cons

A balanced look at where each product shines — and where it falls short.

Kaspr logo

Kaspr

Strengths in green

Cons

  • Trails on contact data
  • Trails on email outreach
  • Trails on integrations

Best for

EU LinkedIn/Sales Navigator reveal workflows

Lusha logo

Lusha

Trade-offs in red

Pros

  • Stronger on contact data
  • Stronger on email outreach
  • Stronger on integrations

Best for

Enriching existing records with signals and Engage

Choose if…

Choose Kaspr if

  • EU LinkedIn/Sales Navigator reveal workflows
  • SMB teams capturing phones/emails from LinkedIn into CRM

Choose Lusha if

  • Enriching existing records with signals and Engage
  • Teams needing broader enrichment beyond LinkedIn-only capture

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Methodology disclosure: scores and recommendations follow SoftwareGlimpse evaluation criteria (version 1.0.0). Affiliate relationships do not determine rankings.

How we recommend: product claims are tied to recorded research where available.

AI-assisted disclosure: drafts may be AI-assisted from approved facts and assessments. Humans approve publishable editorial judgments. AI does not invent live prices or claim hands-on testing.