The engine behind every
ICP & segmentation engagement
ClearICP analyzes customer datasets row-by-row, builds ICP hypotheses, and produces segmentation outputs — then our team refines and packages results for due diligence and portfolio leadership.
Core Capabilities
Row-by-Row AI Analysis
Our AI engine processes each customer record individually, building a rolling hypothesis of your Ideal Customer Profile. As it analyzes more data, the ICP becomes more refined and accurate.
This iterative approach ensures that patterns emerge naturally from your data, not from preconceived notions. Every customer record contributes to a deeper understanding of what makes your best customers ideal.
Pattern Recognition
Identifies recurring characteristics across your customer base
Anomaly Detection
Flags exceptions and outliers that don't fit the profile
Continuous Refinement
ICP hypothesis evolves with each new data point
Custom Taxonomy Dimensions
Define ICP dimensions that match your business model. Our AI suggests a taxonomy based on your data, but you have full control to customize it.
- •Firmographic: Company size, industry, revenue, geography, structure
- •Technographic: Technology stack, tools, platforms, integrations
- •Behavioral: Usage patterns, engagement levels, purchase behavior
- •Psychographic: Values, motivations, decision-making style, risk tolerance
- •Contextual: Market conditions, timing, competitive landscape
AI-Proposed Taxonomy Example
Automatic Customer Segmentation
Get instant segmentation analysis with a value/potential matrix. Understand which customers are:
This segmentation helps you prioritize where to invest your sales and marketing resources for maximum impact.
Segmentation Output
- • High-value segments show strong technographic alignment
- • Behavioral patterns indicate expansion opportunities
- • Geographic concentration in key markets
Comprehensive ICP Output
Receive a complete ICP analysis including:
- ICP Summary: High-level description of your ideal customer
- Qualifiers: Characteristics that make a customer ideal
- Disqualifiers: Red flags that indicate poor fit
- Signals: Early indicators of ideal customer potential
- Scoring Guidelines: Framework for evaluating prospects
Export Formats
Simple, Powerful Workflow
From data upload to insights in four steps
Create Project
Set up your company context, define your ICP thesis, and specify target geographies.
Upload & Map Data
Upload your customer dataset (CSV or Excel). Map columns and let AI propose your taxonomy.
Run Analysis
Start with a free preview, then run the full analysis. AI processes each customer record.
Get Insights
Review your ICP, segmentation, and scoring guidelines. Export and integrate with your tools.
What lands on your desk
Board-ready segmentation and ICP deliverables — not a progress bar. Sample excerpts below (redacted).
Segment breakdown
Revenue-weighted segments with named profiles
| Segment | Accounts | ARR % |
|---|---|---|
| Enterprise Platform Buyers | 142 | 38% |
| Mid-Market RevOps Leaders | 318 | 29% |
| Growth-Stage Founders | 89 | 18% |
| Long-tail / non-core | 204 | 15% |
Value × potential matrix
Prioritize expansion vs. protect vs. deprioritize
One-page ICP summary
Executive-ready ideal customer definition
Primary ICP
B2B SaaS, $15M–$80M ARR, US/EU, sales-led motion
Firmographic
200–800 FTE · Multi-product
Technographic
Salesforce + modern data stack
Qualifiers
- Dedicated RevOps or sales ops function
- Repeatable outbound or ABM program
Disqualifiers
- PLG-only with no sales team
- < $2M ARR without expansion budget
Exec deck slide
Investment committee / board-ready framing
Portfolio Co. · Segmentation
Three segments drive 85% of ARR
Recommendation: concentrate GTM on Enterprise Platform Buyers; rationalize long-tail.
See the platform on a live walkthrough
We'll show deliverable samples and discuss how an engagement maps to your DD or portfolio timeline.
Want a low-friction look first? — then we'll schedule a call to scope the full engagement.