Apollo vs Lusha 2026 - B2B Contact Data Compared on Price, Accuracy, and Coverage | BounceZero
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Apollo vs Lusha 2026
B2B Contact Data Compared on Price, Accuracy, and Coverage

Apollo and Lusha are two of the most widely-used B2B contact databases. Apollo positions itself as an all-in-one sales platform with prospecting, sequencing, and data enrichment. Lusha focuses on high-quality direct dial phone numbers and contact data accessed via a LinkedIn Chrome extension. This guide compares both on the metrics that matter for SDRs and growth teams in 2026.

By BounceZero Team |July 2026 |7 min read

Head-to-Head Comparison

Feature Apollo.io Lusha
Pricing Free plan + $49-$149/mo $0 (5 credits/mo) + $36-$149/user/mo
Contact database 275M+ contacts 50M+ contacts
Email accuracy 75-85% (mid-market) 72-82%
Direct dial / mobile Moderate coverage Strong - primary differentiator
Built-in sequencing Yes - email + task sequences No - data only
CRM integration HubSpot, SF, Pipedrive, Zoho HubSpot, SF, Pipedrive, Zoho
Chrome extension (LinkedIn) Yes Yes - stronger UX
Company/account data Strong (firmographic filters) Basic
Data enrichment API Yes Yes
GDPR compliance Yes Yes (ISO 27001)
Intent data Yes (basic) No
Free plan Yes (limited exports) 5 credits/month

Pricing Breakdown

Apollo.io Pricing

  • FreeLimited exports, 50 email credits/mo
  • Basic - $49/mo1,000 email credits, basic filters
  • Professional - $99/moUnlimited email, sequencing, CRM sync
  • Organization - $149/moAdvanced analytics, AI features

Annual billing. Phone number credits cost extra on all plans.

Lusha Pricing

  • Free5 credits/month
  • Pro - $36/user/mo480 credits/year
  • Premium - $59/user/mo960 credits/year
  • Scale - $149/user/moCustom + API + enrichment

Annual billing. Each credit = 1 contact reveal (email + phone).

Apollo Wins vs Lusha Wins

Apollo wins when...

  • You need all-in-one prospecting + email sequences
  • Budget is tight - Apollo’s per-contact cost is lower at scale
  • You need firmographic and intent signal filters
  • Primary channel is email (volume over phone accuracy)
  • You need a free plan to start

Lusha wins when...

  • Direct dial and mobile phone coverage is the priority
  • LinkedIn is the primary prospecting surface
  • Team calls more than emails - SDRs on phones
  • Chrome extension workflow on LinkedIn is core to the process
  • ISO 27001 compliance is a procurement requirement

Always verify before sending

Apollo and Lusha emails are sourced from multiple databases, LinkedIn crawls, and company websites. Email accuracy for both services degrades as contacts change jobs (22% annually). Always run your export through a dedicated email verifier like BounceZero before your first cold email send - regardless of which platform you use.

Frequently Asked Questions

Is Apollo or Lusha better for B2B prospecting?

Apollo is better for teams that need volume, sequencing, and an all-in-one platform - 275M+ contacts, built-in cold email sequencing, and a free plan. Lusha is better for direct dial phone coverage and LinkedIn-based research. Apollo wins on price and contact volume; Lusha wins on phone data quality for teams that call more than email.

How accurate is Apollo’s email data?

Apollo email accuracy is 75-85% for mid-market contacts and 60-75% for SMB contacts. Apollo shows a ‘verified’ badge on recently-confirmed emails, but this degrades as contacts change jobs. Always run Apollo exports through a dedicated verifier like BounceZero before your first send.

How accurate is Lusha’s email data?

Lusha email accuracy is rated 72-82% in 2026 benchmarks. Lusha’s strength is phone numbers - particularly direct dials and mobile numbers - not email. For pure cold email volume, Apollo provides more contacts for the same budget. For phone-first outreach, Lusha’s direct dial coverage is generally stronger.

Verify your Apollo or Lusha export before sending.

Upload any CSV and get valid / invalid / catch-all results in minutes. $3/1K. No subscription. Credits never expire.

Verify lead data before outreach

Apollo, ZoomInfo, Lusha and Cognism all have accuracy gaps - verify exports before sending