Enrich-CRM vs Lusha

🔍 Contact finder vs CRM enrichment platform

Lusha is optimized for a specific workflow: you’re on a LinkedIn profile, you click the extension, and you get an email address and phone number. For individual SDRs doing manual research, it’s fast and convenient. But it works profile-by-profile — there’s no way to enrich your entire CRM in bulk.

Enrich-CRM solves a different problem: you have thousands of contacts already in your CRM and you want to enrich them all with 250+ company and 50+ contact datapoints — automatically, in real-time, and continuously. Via HubSpot, Clay, API, CSV, or any workflow tool. This is a fundamentally different scale and use case.

🔄 Continuous freshness vs one-time lookup

When you look someone up on Lusha, you get a snapshot. That snapshot becomes stale the next time they change jobs, get promoted, or the company gets acquired — which happens to 20–30% of B2B contacts every year. On a 10,000-contact CRM, that’s 2,000–3,000 records going stale annually. Lusha has no mechanism to alert you when this happens.

Enrich-CRM’s job change detection monitors your CRM contacts continuously. When someone changes roles, the record updates automatically and can trigger HubSpot workflows, notify your team, or feed into Clay sequences — before your competitors notice the move.

🛡️ GDPR and data protection: Enrich-CRM vs Lusha

Lusha is an Israeli-American company (Tel Aviv/New York) with infrastructure hosted primarily in the United States. Routing European contacts’ personal data through US servers constitutes an international data transfer under GDPR — one that requires additional safeguards, especially since the invalidation of Privacy Shield. Lusha’s GDPR compliance is largely declarative.

Enrich-CRM is built EU-native: 100% hosted on AWS EU Paris (eu-west-3), with a proprietary in-house LLM — no OpenAI or other third-party AI dependency — and no data retained after enrichment. Full DPA and sub-processor documentation is available at our Trust Center.

⚙️ How Enrich-CRM enrichment works

Send identifiers (email, LinkedIn URL, domain…). A proprietary LLM — running on AWS EU Paris, no OpenAI dependency — queries SERP on EU servers, visits public pages in logged-out mode, extracts data in memory, returns structured results. Nothing stored. Cost from ~€0.037 per enrichment (Growth plan).

This is the same legal posture as a researcher manually reading a LinkedIn profile — combined with the scale of automated batch enrichment. Full DPA and Trust Center documentation at enrich-crm.com/en/trust.

🚀 For teams that have outgrown Lusha

Many teams start with Lusha for individual lookup, then hit a ceiling: they want to enrich the whole CRM, set up automated workflows, or use enrichment data inside Clay or Make pipelines. Enrich-CRM is the natural next step — familiar credits model, but at CRM-wide scale with real-time data, job change alerts, and intent signals built in.