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Event Planner

Transform raw attendee lists into prioritized buyer intelligence in minutes

Intelligence vectors
5
Enrichment stages
6
Schedule
Manual
Type
On-demand

Pipeline

1
Attendee list ingestion
2
Intelligent field mapping
3
Record creation
4
Professional profile enrichment
5
Multi-dimensional company research
6
Buying likelihood scoring

Overview

Transforms a raw conference or event attendee list into prioritized buyer intelligence. Upload any CSV or XLSX, the system auto-detects column formats, then runs a 6-stage enrichment pipeline covering professional profiles, company research, and buying likelihood scoring.

What This Replaces
Manual LinkedIn lookups for each attendee (3-5 min per person, 4-6 hours for a 100-person list)
Spreadsheet-based research tracking with inconsistent depth across attendees
Subjective prioritization based on title alone, missing company-level buying signals
Last-minute event prep that leaves the team unprepared for high-value conversations
Key Capabilities
Automatic column detection: AI maps arbitrary CSV headers to canonical attendee schema
5 intelligence vectors per company: financials, strategic initiatives, news, investor/PE activity, and trigger events
AI-powered buying likelihood scoring combining seniority, company health, strategic fit, and trigger signals
Professional profile verification with current role, tenure, education, and career history
Batch processing with real-time progress tracking in the dashboard
Intelligence Depth

Each attendee is enriched through a multi-model pipeline: LinkedIn profile verification confirms current role and tenure, then 5 independent research vectors build a complete company picture. The buying likelihood model synthesizes all signals — seniority fit, company financial health, active strategic initiatives, recent trigger events, and PE/investor activity — into a single prioritization score calibrated to your practice areas.

Data Sources

LinkedIn
Serper
Apollo
Perplexity
Claude

At a Glance

Intelligence vectors5
Enrichment stages6
Research calls/company5