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Lusha’s AI Recommendations surface a scored daily feed of contacts and companies that match your ideal customer profile - so you’re not starting from scratch every time you log in. Every morning, up to 10,000 contacts and 10,000 companies are ranked and ready on your Home page. Each lead shows exactly why it appeared - its score, the signals behind it, and how well it matches your ICP. There is no black box.
AI Recommendations are available on all plans. Monetisation details are coming soon.

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In this section

ICP Hub setup

Configure ICP Hub so your recommendations reflect your real target accounts.

Create a Target Profile

Define the account and persona criteria your recommendations are scored against.

Buying Group

Identify everyone involved in a buying decision, organized by their role in the deal.

Credits & recommendations table

Understand how credits work with the unified recommendations table.

Activity-based recommendations

Recommendations driven by your own search and reveal history.

CRM & intent-based recommendations

Recommendations driven by your connected CRM and buying-intent signals.

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Where you can start recommendations

  • Your Home page - the daily ranked Contacts and Companies lists.
  • A new empty table - create a table and choose Recommendations as the source.
  • An existing saved table - open the table and click + Add → Recommendations. Records already in the table are excluded automatically.
See Working inside a saved workspace table for how to add recommendations into a table you’re already working in.

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How recommendations are generated

Recommendations are built from four dimensions of context:
  • Your ICP Hub configuration - the Target Profiles you’ve defined, including account criteria, persona criteria, and exclusion rules.
  • Your usage history - the contacts you’ve searched for and revealed in Lusha.
  • Your integrated systems - CRM data from Salesforce or HubSpot, if connected.
  • Signals - job changes, intent data, hiring growth, promotions, and other buying indicators.
All four feed a single ranked, transparent table. The more precisely you configure ICP Hub, the more accurately your recommendations reflect your real targets.

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Key concepts

  • ICP fit score - how closely a lead matches your defined Target Profile criteria.
  • Signal score - how much buying activity is happening around the lead (new role, promotion, intent, hiring growth, CRM match).
  • Signals column - shows exactly why each lead surfaced, so you can act with confidence.
See Signal Score and ICP Fit Score for a full breakdown of how each score is calculated and where they’re available.
  • Lusha generated - if you haven’t configured ICP Hub yet, recommendations are based on your account history. Once you set up a Target Profile, your feed shifts to reflect your defined targets.

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Who controls recommendations

Any user can configure their own Target Profile in ICP Hub. Admins can also share profiles with the entire team - so every rep, including new starters, gets a relevant feed from day one. Changes to ICP Hub reflect in recommendations within minutes.

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What’s coming next

  • Saved table Prioritisation - score and rank existing prospect tables
  • Buying Group - map decision-makers automatically based on your personas
  • Custom Scoring - control the weighting between ICP fit, CRM match, and signals
To get the most from AI Recommendations, set up your Target Profile in ICP Hub. See ICP Hub: How AI Recommendations Work for the full guide, or How to Create a Target Profile to get started.