Andrew Knox had a familiar sales problem with an unfamiliar twist. At insightsoftware, the global contact-data tool worked well in North America. His Europe, Middle East and Africa team needed people it could actually reach. The names were there; useful contact details were missing. According to Lusha’s account of the deployment, Knox recommended a tool he had used before. More than 25 users were onboarded in an hour. Within two weeks, he reported twice the return in pipeline-building terms.
- Lusha finds business emails, phone numbers and company information.
- The free plan offers 40 monthly credits; standard phone reveals use five each.
- Its customers’ smartest habit: test coverage on the people they actually sell to.
Pipeline is prospective business, so that figure deserves care. It is a customer account published by the vendor, not cash collected or a controlled experiment. Still, the underlying problem is wonderfully concrete. A sales database can contain the right person and remain useless at precisely the moment someone wants to make a call.
Five years before the cheque
Lusha’s founders, developer Yoni Tserruya and HR technology entrepreneur Assaf Eisenstein, met in 2016. They built around accessible contact data and community sharing. The name came from Eisenstein’s daughter’s nickname. A small domestic detail for a company in the business of introducing strangers.
For roughly five years, the company grew without outside investment. The early proposition was self-service: start free, find something useful, pay when you need more. That lowered the threshold for a salesperson trying a tool before a department decided to buy it.
In February 2021, Tserruya explained the decision to raise capital as a need for a financial partner to pursue the market opportunity. PSG led a $40 million Series A. A $205 million Series B followed in November, led by PSG with ION Crossover Partners. The valuation was $1.5 billion at that round. Those are historical financing figures, not today’s price tag.
The number follows you to work
The simplest way to understand Lusha is to follow a prospect. A representative finds someone on LinkedIn, uses the browser extension to reveal contact information, and saves the record into a CRM. The workspace supports broader company and contact searches. The API lets a business put lookup and enrichment into its own systems.
Sales teams want meetings. Marketers want usable audiences. Recruiters want to contact candidates. Revenue operations teams want records that remain useful after somebody changes jobs. Lusha sits between those ambitions and the untidy information on which they depend.
Its integration marketplace includes Salesforce, HubSpot, Outreach, Clay and automation tools. Engage adds email sequences. The distribution matters: a useful detail should arrive where a person is already working, without requiring a ceremonial visit to another dashboard.
The data has several origins. Lusha describes combining community contributions, public information and third-party sources, then cross-checking records. Its opt-in community program exchanges extra credits for professional contact information, including business email headers and signatures. That exchange is part of the product’s economics, not merely a charming use of the word community.
A phone call costs five
Lusha sells subscriptions and access credits. Its published standard rates make the trade-off plain: one credit reveals an email; five reveal a phone number. The permanent free plan supplies up to 40 credits monthly. Dollar costs for paid plans depend on volume and billing choices.
Illustrative budget: 40 emails or 8 phone numbers. Other feature charges are excluded.
Reveal both fields for 100 people and the standard data cost is 600 credits. That arithmetic suggests a sensible discipline: decide which channel you will use before uncovering everything. API requests and specialist features can add charges. A credit is a unit of consumption; it is not a promise of a meeting.
Two databases, on purpose
ZoomInfo, Apollo, Cognism and RocketReach inhabit the same crowded market. Lusha’s accessible entry point and extension are meaningful differences, but coverage on your exact prospects matters more than a vendor’s global total.
Consider Zesty’s published customer story. Revenue operations manager Dani Feldsher tested providers for European prospects and reported 80-90% contact accuracy with Lusha. Zesty kept ZoomInfo alongside it. Its workflow linked LinkedIn research, Lusha contact discovery and HubSpot enrollment.
That is a useful procurement lesson. One provider can fill another’s gaps. A European result from one customer does not settle every territory or industry. Even Lusha’s current data page has a concrete exception: Italian contact data is unavailable.
“When I think of Lusha’s superpower, simplicity comes to mind.”
Andrew Knox, insightsoftware / Lusha customer story
Who needs you this week?
The newer proposition adds timing. Funding, hiring surges, promotions and leadership changes can make one account more interesting than another. Recommendations and lookalike tools try to turn a large pool into a relevant shortlist. Elastic’s technology account describes search and vector-based recommendations beneath that work.
Lusha’s October 2025 product update highlighted a Signals API, its MCP connector and Conversations, which analyzes sales meetings. MCP gives supported AI clients access to Lusha data. A person can request contacts through an AI conversation instead of manually rebuilding a search.
- 01Define the account
- 02Check the signal
- 03Reveal the contact
- 04Make a relevant approach
A signal deserves interpretation. Hiring could mean expansion, replacement or money already spent. A verified number could belong to someone who has no interest in your offer. Automation can shorten the journey to a conversation while leaving the reason for that conversation entirely in your hands.
Borrow the experiment
The copyable move is modest: choose a small set of real target accounts, compare providers on the same people, and count usable results. Measure replies and meetings alongside credit spend. Keep the pilot narrow enough to learn which region, role and channel produced value.
Lusha helps when missing or stale information is obstructing a relevant approach. It is less useful when your target market is poorly covered, your offer is wrong, or nobody has time to follow up. The address book can improve. Someone still has to deserve an answer.