New! Claude now connects directly to Lusha’s verified B2B data
New! Claude now connects directly to Lusha’s verified B2B data

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Connect now

Lead scoring built from
your closed-won deals

Lusha scores every account against the deals you've won, flags the ones showing a buying signal now, and scores inbound leads the moment they land.
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Score every account against your wins

What better scoring gets you

2 to 3x

higher conversion rate on ICP-fit accounts

15 to 20%

shorter sales cycles on Tier A accounts

80/20

Lusha tells you which 20% it is

ICP fit

Score accounts against your actual wins

Lusha matches firmographics, technographics, and lookalike patterns across 29M+ company profiles against your closed-won accounts, then ranks by fit. Feed it five wins and it finds the pattern the slide deck missed.
Score with confidence

BUYING SIGNALS

Know which score just got urgent

Lusha layers hiring surges, funding, and leadership changes onto the fit score, so a high-fit account with a live signal moves up the queue on its own. Two signals in 90 days count for more than one.
Spot the signal behind every score

READY TO WORK

Score the lead, then reveal the buyer

A form fill lands. Lusha enriches it, scores it against your ICP, and returns Hot, Warm, or Cold with the reason. On high-scoring accounts it shows which decision makers have a verified email or direct dial on file, so the rep reveals the one they'll call.
Close what fits, faster

Scoring that works
wherever you do

Lusha API

Call the scoring endpoint with a list of companies and get them back ranked by fit, with the signal that moved each one.

Lusha API

CRM integration

Scores and tiers write to Salesforce or HubSpot as fields, so your routing rules run on them.

CRM integration

Claude and ChatGPT

Paste a list of accounts and ask for it ranked. Fit, signal, and recency on every row, and the weights printed under the table so you can change them.

Claude or ChatGPT

FAQ

  • Ranking leads or accounts by how likely they are to close, so reps work the best ones first. Lusha builds the score from three parts: fit against your closed-won profile, live buying signals at the company, and how recent those signals are. Every score shows the three parts.

  • Account scoring ranks companies. Lead scoring ranks people, usually inbound. Lusha does both from the same inputs; the account score carries the fit and signals, and a lead inherits its account’s score plus a check on the seat the person holds.

  • Yes. Give it five or more closed-won accounts and the lookalike model returns companies that match the underlying profile, headcount, industry, technologies, growth pattern, rather than the brand. The lookalike prospecting page covers how.

  • Buying signals refresh weekly. A score changes when the fit data or the signals behind it change.

  • 26 signals: 24 at the company level, including funding, hiring surges by total, department, and location, headcount and IT spend changes, website traffic changes, and news on strategy, commercial activity, and leadership; and 2 at the contact level, promotion and company change. Signals are business events, framed as a position being filled or vacated where they concern people.

  • Yes. For any scored account, Lusha shows which decision makers exist and which have a verified email or direct dial on file. Revealing a contact costs credits; the preview does not.

     

  • Lusha operates under GDPR and CCPA and is certified under ISO 27001, ISO 27701, and SOC 2 Type II. How data is sourced and how individuals can opt out is on the Trust Center.

     

Work the accounts that look like your wins

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