/revops icp build
ICP Builder
9-agent pipeline into ICP model, personas, scoring, and discovery
Overview
Multi-agent orchestration pipeline that builds your Ideal Customer Profile from tribal knowledge, validates against CRM data, produces weighted scoring criteria, and runs automated enrichment. The scoring model improves as you close more deals.
What It Does
- Extracts ICP signals from tribal knowledge interviews
- Validates signals against CRM deal history
- Produces weighted scoring criteria across firmographic and behavioral dimensions
- Generates buyer personas with pain points and trigger events
- Runs automated prospect discovery using validated criteria
Inputs
- Tribal knowledge (who do you win deals with?)
- CRM deal data
- Competitive context
Outputs
- ICP scoring model
- Buyer personas
- Discovery criteria
- Enrichment pipeline config
Example
Build an ICP from scratch for a Series B cybersecurity company. The 9-agent pipeline interviews stakeholders, analyzes 200 closed-won deals, identifies 4 firmographic signals and 3 behavioral triggers, and produces a scoring model that ranks new prospects.
Related Skills
/research-prospect
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Company into full ABM research with ICP scoring
/meeting-prep
Meeting Prep
Meeting context into attendee dossiers adapted by type
/hypothesis
Hypothesis Builder
ICP data into testable outbound pain hypotheses
/revops
RevOps Suite
CRM-first revenue operations across deals, pipeline, and forecasts
Deep Dives
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Built and maintained by Victor Sowers at STEEPWORKS