Lusha review 2026: the honest verdict on data quality, credits, and the 1.2 Trustpilot score.

Lusha scores 4.3 out of 5 on G2 and 1.2 out of 5 on Trustpilot. Same product, same year, a 3.1 point gap between two review platforms. Understanding why that gap exists tells you almost everything you need to know about whether Lusha is the right tool for your team.

Cameron Evans · Founder & CEO, Haku

14 June 2026 · 8 min read

The G2 and Capterra scores come from sales reps and managers who chose Lusha, use it daily, and are evaluating it as a product. They generally like the Chrome extension, appreciate how fast it is to get up and running, and tolerate the accuracy gaps because the alternative — manual research — is slower.

The Trustpilot score comes from an entirely different group: data subjects. People who discovered their personal phone number or email address was being sold through Lusha without their knowledge. They are not reviewing a product. They are filing a complaint. And they are doing so in significant numbers — with specific, documented grievances about GDPR deletion requests that were ignored, personal mobile numbers linked to the wrong identity, and billing practices that resulted in unexpected charges.

Both scores are accurate. They are measuring different things. This review covers both.

What Lusha actually does well

Lusha's Chrome extension is genuinely one of the best in the category. Install it, visit a LinkedIn profile, click the icon, and the contact's email and phone data appears within seconds. No complex workflow, no training required. For a solo rep or a small team doing targeted lookup on specific prospects, this is a meaningful time save and the positive G2 reviews reflect it accurately.

For US and UK enterprise contacts — senior decision-makers at large, well-known companies — Lusha's data is reasonably strong. High-profile contacts generate significant signal through Lusha's contributor network, where users share contacts from their email accounts in exchange for credits, which means the database is refreshed more frequently for people who are emailed often.

The platform also integrates with Salesforce and HubSpot, offers a prospect search workflow with company and role filters, and provides bulk enrichment on higher-tier plans. For a team that needs occasional individual contact lookup with a low-friction interface, Lusha is functional.

Where Lusha consistently fails

The Trustpilot score explained — and why it matters for UK teams

The 1.2 Trustpilot rating is not from disgruntled buyers who expected too much. It is from individuals whose personal data — home phone numbers, personal mobile numbers, private email addresses — appeared in Lusha's database without their knowledge or consent, and who then experienced the consequences through unsolicited sales calls.

"I keep receiving work-related sales calls on my home landline and personal mobile, all hours of the day. Turns out they have all bought my data from Lusha. I complained. They re-added my details." Trustpilot — verified reviewer

"Called a number provided by Lusha. Somebody picked up and said the person I was looking for left the company fifteen years ago, and their number was taken over by somebody else. The old number had been sitting in the database for fifteen years." Capterra — verified reviewer

For UK and European sales teams, the GDPR dimension of these complaints is not academic. In April 2025, Italy's data protection authority — the Garante — launched a formal investigation into Lusha over alleged privacy breaches. Multiple UK reviewers describe submitting GDPR Article 17 deletion requests — the right to be forgotten — receiving confirmation of removal, and then continuing to receive cold calls from companies using Lusha data that apparently had not been deleted.

Lusha holds ISO 27701, SOC 2 Type 2, and ePrivacyTrust certifications, and publishes a compliance page prominently. The certifications are real. The gap between certified compliance and the documented user experience of deletion requests is the live question that the Italian investigation is examining. For any UK team with a legal or compliance function that reviews data procurement practices, this is a risk worth flagging before signing an annual contract.

Pricing — what it actually costs per usable contact

The true cost per usable contact is significantly higher than the headline pricing suggests. At 70% email accuracy and 50% phone accuracy, a team burning through 100 credits per day is getting approximately 70 usable emails and 5 usable phone reveals — the rest are stale, wrong, or unreachable. Those credits are gone regardless.

Who Lusha is actually right for

Lusha makes sense for a specific, narrow use case: a solo rep or small team doing occasional targeted lookup on named US or UK enterprise contacts, who needs the fastest possible interface and does not require scale, signal monitoring, or EMEA coverage. The Chrome extension is excellent for this. The economics work when volume is low enough that credit wastage from inaccurate data is tolerable.

It does not make sense for teams running high-volume outbound into mid-market accounts, teams with a significant EMEA focus, teams that need buying signals or intent data as part of their prospecting motion, or teams with compliance functions that review data sourcing practices. For all of these, the combination of accuracy gaps, credit model punishments, limited coverage, and the live regulatory investigation create a risk-to-value profile that is hard to justify against alternatives.

What the alternative looks like

The structural problem with Lusha — and with every single-source database — is that it is a snapshot of the world at a point in time, refreshed unevenly, and charged per reveal regardless of accuracy. The contact you pull today may reflect someone's role from six months or six years ago. You find out when the email bounces or the call goes to a stranger's voicemail. By then, the credits are spent and the sender domain has taken another hit.

Waterfall enrichment solves this at the architecture level. Rather than querying one database and accepting whatever it returns, waterfall enrichment queries multiple providers in sequence — moving to the next when the previous fails or returns a low-confidence result — and validates the final output against a live SMTP check at the point of use. The result is a verified contact that is accurate today, not on the date it was last refreshed in a database.

At Haku, every contact is enriched through FullEnrich across 17+ independent providers, with triple-layer verification before it reaches a rep's queue. Clients see bounce rates consistently below 3%. No credits charged for contacts that cannot be verified. No database snapshots from fifteen years ago making it into active sequences. The data model reflects the data quality, not the other way around.