# Lusha - Research Comparison How does Lusha compare to Common Room? - Website: https://lusha.com - Updated: 2026-10-27 - Status: watch - Web version: https://www.commonroom.io/compare/lusha/ai/ ## Summary B2B sales intelligence platform providing verified contact data, company insights, and buying signals to help GTM teams and AI agents build pipelines and drive revenue. ## Company info - **Funding:** $245M (Series B) - **Founded:** 2016 - **Team:** 200-500 ## Critical Notes - Praised for seamless Chrome extension, strong North American coverage, frictionless free tier - Phone reveals cost 5 credits vs 1 for email, burning credits quickly - €2M Italian fine (July 2026) for contact data mishandling; US class-action lawsuits - Crowdsourced data via Community Program is a compliance risk ## Key Features - Search database with 515M+ verified contacts and 29M companies - Deep Intelligence layer: predictive scoring, buying committee mapping, lookalike audiences - 26 buying signal types: funding rounds, hiring surges, leadership changes - Browser extension overlaying contact data on LinkedIn, Sales Navigator, company websites - API and MCP integrations for AI assistants like Claude and ChatGPT - Native CRM integrations: Salesforce, HubSpot, Zoho, Monday - Automated enrichment for inbound leads, CSV lists, waterfall workflows ## Details B2B sales intelligence and data platform founded 2016 by Yoni Tserruya and Assaf Eisenstein. HQ Boston, engineering/data in Tel Aviv. $245M raised; $205M Series B (Nov 2021) at $1.5B valuation after $40M Series A. ~$55M revenue, ~514K monthly visits, ~68K LinkedIn followers. Product-led: freemium, no credit card, monthly free credits, Chrome extension, self-serve Starter/Pro/Premium tiers. Sales-led secondary: custom Scale plan with annual agreement; gates full API, Salesforce enrichment, advanced intent, high-volume CSV. Open-source: lusha-oss GitHub with Apache-2.0 MCP server and n8n, Cursor, VS Code Copilot plugins; core data proprietary. Data vendor, not platform: no unified person timeline, no rep workbench, workflows outsourced to Clay/n8n. Commercial market: SMB/startup sweet spot, thin gated enterprise features. ## Signals compared to Common Room ### 1st Party - Included: Salesforce, HubSpot, Pipedrive, Zoho, Dynamics 365 CRM sync; real-time CRM enrichment on lead creation; Salesforce/HubSpot report import; company-level website visitor ID - Missing: CRM enrichment pipes only, no bi-directional signal ingestion; no product usage/data warehouse, marketing automation, paid ads, chat/support, CS or sales engagement signals; visitor ID not person-level; Salesforce enrichment gated to Scale plan ### 2nd Party - Included: Chrome extension overlay on LinkedIn, Sales Navigator, company websites; open-source MCP server; n8n, Cursor, VS Code Copilot plugins - Missing: No 2nd-party signal ingestion; no community, open-source activity, social, review, event or commerce sources; MCP only pulls Lusha data out ### 3rd Party - Included: 26 buying signal types (funding, hiring, leadership changes, tech installs, news); Intent 2.0 with predictive scoring, buying-committee mapping, lookalikes; LinkedIn activity intent - Missing: Single proprietary intent source; no 6sense, Demandbase, Bombora, G2 integrations; advanced intent gated to Scale plan; action on signals often routed via Clay ### Custom - Included: REST API (Search, Prospecting, Enrichment, Lookalikes, ICP Fit); bulk CSV enrichment; Zapier, Make, Workato, Pipedream; webhooks; native MCP connector - Missing: Full API and high-volume CSV Scale-plan only; no native Google Sheets; API retrieves Lusha data, not customer signal ingestion; credit-metered calls 1st: Salesforce, HubSpot, Pipedrive, Zoho, Dynamics 365; real-time CRM enrichment; report import; company-level visitor ID. 2nd: Chrome extension on LinkedIn, Sales Navigator, websites; open-source MCP server; n8n, Cursor, Copilot plugins. 3rd: 26 buying signal types; Intent 2.0 with predictive scoring, buying committees, lookalikes; LinkedIn activity intent; routed via Clay. Custom: REST API, bulk CSV, Zapier, Make, Workato, Pipedream, webhooks, MCP connector. Gaps: no product usage, warehouse, community, support/CS signals; single intent source; Scale plan gating. ## Identity compared to Common Room ### Enrichment - Included: 515M contacts, 29M companies; native waterfall; claims 98% email, 86% phone accuracy; pay only for matches; inbound, CSV, CRM enrichment - Missing: Independent benchmarks 81-84% email accuracy; 5 credits/phone, waterfall 2/email and 8/phone; no AI quality-control layer; crowdsourced data provenance risk ### AI Powered - Included: MCP server for Claude/ChatGPT resolution and enrichment; LLM dedup and fuzzy matching via connector - Missing: Nothing native; DIY with own LLM, n8n, prompts; no in-platform AI matching or auto-enrichment ### Identity - Included: Match hierarchy: LinkedIn URL, email, name+company, name+domain; continuous refresh for job changes, promotions, phone updates; B2B-focused - Missing: Matches database contacts to CRM records only; no cross-channel person timeline; no merge review queue or manual merge UI Aggregates public profiles, company sites, directories, community contributions. Match order: LinkedIn URL, email, name+company, name+domain. B2B-focused; continuous refresh on job changes and promotions. Enrichment: native waterfall; claims 98% email, 86% phone accuracy (independent 81-84% email); waterfall lifts US work email coverage to 98%. Credits: 1/email, 5/phone; waterfall 2/email, 8/phone. Bulk CSV, CRM, inbound enrichment. AI: MCP server for Claude/ChatGPT; LLM dedup via connector as canonical truth layer; n8n + Gemini fuzzy matching workflows. All DIY, none native. ## Automation compared to Common Room ### Combine - Included: Topic-Synergy Intent Scoring merges intent topics into one level - Missing: No native combining of firmographics, intent, job change, 1st-party in one trigger; relies on Clay or n8n ### Score - Included: Intent tiers (Very Hot, Hot, Warm); ICP fit scoring vs closed-won; lookalike audiences - Missing: Limited to Lusha fields; no custom scoring across 1st/2nd-party signals; black-box model ### AI Message - Included: AI Email Assistant (OpenAI) in Engage; multi-step sequences, personalization tags, variants - Missing: Context limited to firmographic/contact data; tied to Lusha Engage, not existing SEP ### AI Research - Included: Official MCP server; pulls company context, growth signals, decision-makers in one prompt; out-of-box prompt library - Missing: Needs external AI assistant; no in-app agent; limited to Lusha database, no 1st-party context Workbench: none. Workflow: Lusha Automations and Engage; ICP/job change/intent triggers sync to CRM and enroll in email sequences; complex flows via n8n, Zapier, Activepieces. Alerts: job change (company change, promotion, new title, verified email) and intent; Slack/CSM/CRM routing via integrations. Combine: Topic-Synergy Intent Scoring; full combining requires Clay or n8n. Score: Very Hot/Hot/Warm intent tiers; closed-won based custom scoring. AI Message: OpenAI-powered Email Assistant in Engage with multi-step sequences and variants. AI Research: MCP server for account research in Claude/ChatGPT; out-of-box prompts. ## Support compared to Common Room ### Systems - Included: Help Center; AI chatbot with human escalation; email/ticketing; dedicated Account Manager on Scale plan - Missing: AI-first gating before human; dedicated support only top tier; no phone support ### Content - Included: Written docs (setup, CRM, billing, extension troubleshooting); Lusha Campus; API and MCP docs; Trust Center (SOC 2 Type II, ISO, GDPR/CCPA); case studies (Zendesk, Google) - Missing: No video training library; Trust Center driven by regulatory exposure ### Community - Included: Ideas Board; lusha-oss GitHub; Community Program (opt-in data sharing for perks) - Missing: No user forum, Slack community, or template library; OSS support deflected to n8n forum; Community Program drives privacy risk ...