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.
Website
Signal Intelligence·23 signals read today
Reading Northgate Robotics… ›
TriggerLeadfeeder company signal · identified account returned to the pricing page twice this week
Deploy agentDeploying Signal Enrichment agent on the account's evidence
Use skillLoading skills · Signal Research · Signal Interpretation
Reference memoryReading memory · Signals · ICP · Persona
ReasoningLeadfeeder identifies the visiting company and pages viewed, not the individual by default; combine company fit and repeat high-intent behaviour → raise account priority without inventing a contact
ActionWrite the signal to prospect state → surface in the rep's daily briefing
✓Read in 6 seconds ›
Surfaces inProspecting Daily BriefingviaSlackTeams
Revenue LabsAPP7:48 AM
LIVE
Prospecting Briefing: Marcus Hale · Thu 23 Jul
STATE CHANGES7 overnight
VERY HIGH2 accounts
MEETINGS MTD9/14
PIPELINE MTD$325K/$550K
TOP PRIORITY
Northgate Robotics · [Very High] [Crossed overnight]
SIGNAL INTELLIGENCE
Signal: Third pricing visit in five days, ops hiring underway
Confidence: High · source verified 7:41 AM
Contact: Sofia Lindqvist · VP Operations
Recommended action: Call before 10:30
Also Very High: Westerly Foods
Review SignalAccount SummaryAsk Agent
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
Prospecting
Signal Intelligence
Active
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The signal is structured as it happens.
It captures evidence, source and date when the signal fires.
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The signal's confidence is stated.
Confidence reflects the signal's source and freshness.
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The signal stack becomes one commercial read.
Each signal carries implications for ICP, propensity, messaging and action.
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RevOps sees signal types as one set.
Frequency, precision, influence and commercial performance are shown together.
Humans approve signal meaning and uncertain interpretations.
Prospecting
Propensity Assessment
Active
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Three accounts just moved into in-market
New funding and hires in the roles that feel this pain
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Meridian Logistics jumps to the top of the list
Same profile as your last five closed-won deals, and hiring for the gap you fill
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A contact at Northbridge is showing real intent
Visited pricing and a comparison page twice this week
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Your ranked account list, ready for outreach
Who to call first, and the reason why
Priority accounts, ranked, before you start prospecting
Prospecting
Account Sourcing
Active
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New segments open with mapped accounts
ICP, territory, signal and suppression logic source accounts as a segment opens.
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Territory coverage stays current
Territory logic carries ownership, exclusions and history forward as they change.
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Market expansion uses proven signals
The same ICP and signal logic scores accounts in the new market.
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Winning cohorts refine targeting
Meetings, opportunities and wins show which cohorts performed before RevOps approves changes.
Connected market data keeps qualifying accounts current and cuts list-ops work.
BUILT FOR SECURITY, CONTROL AND SCALE
Connect data securely, capture every agent's activity, and enforce permissions with ease.
Learn about our security →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.