Lusha

Overview

Lusha (lusha.com) is a B2B contact-data and sales intelligence platform: verified emails, direct dials and phone numbers, company data, and dated buying signals, delivered through whatever surface your team already works in — a Chrome extension for LinkedIn, a prospecting app with AI-powered list building, a REST API, an MCP server for Claude/ChatGPT, and native CRM sync with Salesforce, HubSpot, Pipedrive, and Bullhorn. The vendor publishes a database of 515M+ contacts across 29M+ companies, with 132M US contacts, and claims 98% email accuracy and 85% US / 86% global phone accuracy.

Founded in Tel Aviv in 2016 by Yoni Tserruya and Assaf Eisenstein, Lusha was bootstrapped for its first five years, then raised $40M (Series A) and $205M (Series B, November 2021, led by PSG and ION Crossover Partners) at a $1.5B valuation — $245M total. The company now counts roughly 300–350 employees across Tel Aviv and Boston, claims 280,000+ users, and says it processes 7M new buying signals weekly. It positioned early as a crowdsourced data community; today it markets itself as "B2B data and AI prospecting for GTM teams and AI agents."

What it does

Lusha's core loop is simple: search or filter for prospects (free), then spend credits to reveal contact data. Emails cost 1 credit, phone numbers 5. Searching, filtering, and re-viewing already-revealed contacts are free — a genuinely buyer-friendly mechanic that several rivals still don't offer.

Around that core, the platform has grown into four layers:

1. Data — people and company records with firmographics, funding, and technographic fields, filterable by geography, industry, headcount, seniority, and more.
2. Signals — 26 dated, typed events (job changes, promotions, hiring surges, funding rounds, headcount growth) rather than opaque intent scores. Signals can be used as filters in search, as API parameters, or as prioritization inputs.
3. Intelligence — AI Workspace lets you describe an ICP in plain language and get a prospect table; ICP scoring and lookalikes model net-new lists on best-fit customers; Deep Intel layers your CRM and pipeline history on top to say where to focus. Website visitor identification matches anonymous traffic to company records.
4. Surfaces — the extension (one-click reveal on LinkedIn, websites, Gmail), the app, the v3 API (Pro plans and up, with filter-type lookup endpoints), an MCP server so AI agents can pull data live, and CRM sync with dedupe and field mapping. Lusha also sells Conversations (call recording with AI insights, 8 credits per recording).

The Clay integration is notable for GTM engineers: Clay supports Lusha as a native data provider for enrichment, lookalike company discovery, and signals — with both Clay credits and Bring-Your-Own-Key — so Lusha data can sit inside waterfall and agentic workflows alongside other providers.

Data accuracy: the honest read

This is where any data-vendor review must separate marketing from field reality. Lusha's published figures (98% email accuracy, 85% US / 86% global phone accuracy, 95–98% email verification by region) are vendor-self-reported. Practitioner reports and review-site sentiment tell a more nuanced story:

• Emails are broadly reliable in core English-speaking markets; independent reviewers commonly peg real-world accuracy at 80–90%, and one long-term Capterra reviewer calculated roughly 40 correct emails per 100 targeted contacts for their segment once coverage (~50%) and accuracy are compounded.
• Phones are strong in the US, UK, Canada, and Israel — the extension's one-click direct dials are the most-praised feature across 1,600+ G2 reviews — but drop noticeably outside North America. Users report corporate switchboards tagged as direct lines, more landlines in continental Europe and APAC, and weaker mobile coverage than Cognism in the EU.
• Firmographics and job titles age like everyone else's data; job-change lag shows up repeatedly in reviews.

Lusha's counterweight is compliance, where it leads the category outright: independently certified ISO 27001, ISO 27701 (privacy information management), ISO 31700, ISO 42001 (AI management), SOC 2 Type II, TRUSTe, GDPR certification via ePrivacyseal, and CCPA validation — with certificates published. For regulated buyers, this is a real differentiator, not boilerplate.

Pricing and credit economics

Lusha prices per plan with seats included, on a credit slider (October 2026 figures): Free ($0, 40 credits/month, 1 seat, extension + CRM integrations, no card required); Starter ($37.45/mo annual or $49.90 monthly, 400 credits, 1 seat); Pro ($52.45/$69.90, 600 credits, 2 seats, adds API, CSV enrichment, signals, webhooks); Premium ($299.95/$399.90, 3,400 credits, 5 seats); Scale (custom, unlimited seats, SSO, per-user credit limits, Manager role).

The 5-credit phone price is the number to budget around. A team building a 500-person call list needs ~2,500 credits — beyond Premium monthly volume. Monthly plans roll over unused credits up to 2x the allowance; annual plans grant the full year upfront but forfeit unused credits at renewal. Extras consume credits too (8 per call recording, surcharges per signal type matched in API prospecting), so effective per-contact cost is higher than the headline suggests. High-volume teams often pair Lusha's strong extension experience with a cheaper bulk-enrichment layer, or compare against Apollo's flat per-seat pricing.

The free plan is the category's most usable: 40 credits (~40 email reveals or 8 phone reveals) with the extension included. Spend it on a structured accuracy test against your real ICP — pick 20 target accounts, reveal, and verify — before committing to any plan.