Lusha rating history
SaaSHistorical rating trends and review volume analysis
Current Rating
Total Reviews
713
Verified customer feedback
Recent Change
About Lusha
Lusha is an AI Sales Intelligence Platform that provides B2B contact data, including direct dials and validated emails, to help sales, RevOps, marketing, and recruiting teams find prospects, capture leads, and automate outreach. The platform offers tools for discovery, lead streaming, automation, and integration with existing CRM and sales stacks.
Rating & Reviews Trend
Review Velocity
Daily new reviews. Spikes may indicate viral events or potential manipulation.
📋 Rating Snapshots
| Date | Rating | Reviews | Change |
|---|---|---|---|
| Jan 09, 2026 | 1.3 | 713(+1) | |
| Jan 08, 2026 | 1.3 | 712 | |
| Jan 07, 2026 | 1.3 | 712 | |
| Jan 06, 2026 | 1.3 | 712 | |
| Jan 05, 2026 | 1.3 | 712(+1) | |
| Jan 04, 2026 | 1.3 | 711 | |
| Jan 03, 2026 | 1.3 | 711 | |
| Jan 02, 2026 | 1.3 | 711 | |
| Jan 01, 2026 | 1.3 | 711(+1) | |
| Dec 31, 2025 | 1.3 | 710 |
📊 AI Summary
Lusha has an overwhelmingly negative customer sentiment, evidenced by a very low overall rating of 1.4/5 from 704 reviews. The primary complaints revolve around severe privacy violations, including the unauthorized harvesting and sale of personal contact information (especially mobile numbers) leading to spam and harassment calls. Users also report issues with data accuracy, misleading auto-renewal contracts, and difficulties with the opt-out process.
What customers like
- Website claims high data accuracy (85% phone accuracy, 98% email deliverability) and compliance with GDPR/CCPA.
- Customers report increased contact rates and pipeline growth when the data is used effectively.
- Platform integrates with existing sales stacks and offers automation features.
Main concerns
- Widespread allegations of harvesting and selling users' private contact information (phone numbers) without consent, leading to unsolicited sales calls.
- Aggressive and non-transparent auto-renewal billing practices leading to customer disputes.
- Difficulty and failure in successfully opting out of the platform's database, despite repeated requests.
- Reports of inaccurate data attached to the wrong individuals.
💡 About This Data
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AI Analysis
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