Lead Intent Signals in Seconds

Stop spending hours researching prospects. Get ICP scores, buying signals, and conversation starters instantly.

Analysis completed in 30 seconds vs 2+ hours manual research
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Analysis Results

3 prospects analyzed
NAMECOMPANYTITLEICP MATCHBUYING SIGNALS
Nick Reynolds

Nick Reynolds

London, UK

VentureFlowFounder & Venture Builder
95%
Roman Phillips

Roman Phillips

Paris, France

CloudDeployCEO & Co-founder
58%
Peter Davidson

Peter Davidson

San Francisco, CA

DataPipe LabsHead of Marketing and DevRel
23%
Nick Reynolds

Nick Reynolds

Founder & Venture Builder

VentureFlow

95%
Roman Phillips

Roman Phillips

CEO & Co-founder

CloudDeploy

58%
Peter Davidson

Peter Davidson

Head of Marketing and DevRel

DataPipe Labs

23%
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Automated Lead Scoring

AI analyzes LinkedIn profiles and company data to generate ICP match scores from 0-100%, eliminating manual prospect research

Real-Time Buying Signal Detection

Track hiring spikes, funding announcements, tech stack changes, and leadership transitions that indicate purchase readiness

Lead Qualification at Scale

Process hundreds of prospects in minutes with behavioral analysis, company growth indicators, and decision-maker identification

Instant Sales Intelligence

Get comprehensive prospect insights, conversation starters, and personalization angles delivered in under 30 seconds

Turn LinkedIn Profiles Into Intent Signals

From raw LinkedIn data to qualified prospects with buying signals in 4 simple steps. No manual research required.

Paste any LinkedIn profile URL or upload your prospect list. Our system instantly begins analyzing the profile data, recent activity, and company information.

Our AI scans profile activity, job changes, company growth signals, hiring patterns, and behavioral indicators to identify buying intent and readiness.

Receive detailed ICP match scores, buying signal strength ratings, personalization angles, and conversation starters - all delivered in under 30 seconds.

Lead Intent Signals FAQ

Everything you need to know about detecting buying intent from LinkedIn profiles. Get in touch for technical questions.

Our AI analyzes multiple data points including recent job changes, hiring patterns, company growth indicators, and social activity to identify buying intent. The system achieves 85%+ accuracy in identifying prospects showing genuine purchase readiness signals.

We analyze public LinkedIn profile information, recent posts and activity, job history, company information, team size changes, and hiring patterns. No private data is accessed - only publicly available information that you could manually research yourself.

Intent signal analysis completes in under 30 seconds per prospect. You can analyze entire lead lists of 100+ prospects in minutes, compared to hours of manual research. Bulk analysis is processed efficiently to maintain speed.

We identify hiring spikes, leadership changes, funding announcements, technology adoptions, rapid team growth, new market expansions, and behavioral patterns that indicate budget availability and purchase timing.

ICP scores (0-100%) compare prospects against your ideal customer profile based on company size, industry, role, growth stage, and other criteria you define. Higher scores indicate stronger alignment with your target market.

Yes, you can analyze prospects using company websites or domain information. Our system gathers publicly available data from multiple sources to build comprehensive intent profiles even without LinkedIn URLs.

Intent signals are analyzed fresh each time you run an analysis. For prospects you monitor regularly, we recommend re-analyzing monthly to capture new activity and changing signals that indicate evolving buying readiness.

You can export qualified leads with intent scores directly to most CRMs including Salesforce, HubSpot, and Pipedrive. API access is available for custom integrations to sync intent data with your existing sales tools.

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