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System/Integrations/Integration

Leadfeeder

Intent & enrichment

A visitor who never fills in a form used to stay invisible to a sales team entirely. Leadfeeder resolves anonymous website visits to the company behind them using IP data, and Revenue Labs reads that visit into the account record, so it becomes a signal a rep can see.

From source record to operating state

01 | The tool on its own

Visitor identification reveals interested companies.

02 | With AI bolted on

Visitor summaries stay in Leadfeeder.

03 | A system that learns

Visitor activity gains account context.

The tool alone > AI bolted on > AI-native

What changes when Leadfeeder feeds a system that learns

Three jobs Leadfeeder already does, and what each becomes when its evidence joins live company, contact and deal state.

01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Visitor identification
Visitor identification reveals interested companies.
Leadfeeder identifies companies visiting a website and shows source, pages, and visit activity. A seller still checks the account, finds the right contact, and decides whether the visit matters.
Visitor summaries stay in Leadfeeder.
Leadfeeder AI can summarise activity and suggest contacts from its visitor data. The view stays in Leadfeeder and does not include the full deal or conversation history.
Visitor activity gains account context.
Website activity enters shared account state with its matched company and contact, alongside CRM, conversation, and deal evidence.
AI contacts and summaries
AI contacts turn visits into people to inspect.
Leadfeeder's AI Contacts and Activity Summary help teams move from an identified visitor to a possible person and a readable account brief. A user still verifies identity and relevance.
Contact suggestions stay in Leadfeeder.
Leadfeeder's suggested contact and summary stay inside Leadfeeder. They do not connect the visitor to a conversation or deal, or show which later action worked.
A person signal informs the next action.
Once identified, the person's context can be weighed with the account and deal before another capability acts.
Feeds, scores, and alerts
Feeds make website activity workable.
Leadfeeder groups visitors into feeds, scores activity, and sends alerts for accounts worth checking. An operator still sets filters, checks false positives, and chooses the response.
Feed prioritisation stays in Leadfeeder.
Leadfeeder can prioritise visitor activity within its own feed. It cannot compare the alert with conversations, pipeline movement, and revenue outcomes elsewhere.
Visit selection learns from outcomes.
Visit patterns are checked against deal results, teaching the system which alerts deserve attention on a future account.
Runs on it

Capabilities that act on connected evidence

BUILT FOR SECURITY, CONTROL AND SCALE

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CERTIFIED + COMPLIANT WITH:

ISO 27001:2022

GDPR

CCPA

Data Protection Act 2018

The GTM teams that learn fastest will win.
Connect your stack to a system that learns.