icp-modeling-with-data
Installation
SKILL.md
ICP Modeling with Data
ICP modeling uses closed-won deal data, churn data, and customer health data to quantitatively identify which company attributes predict success. Instead of guessing "we think mid-market SaaS is our ICP," you analyze 50-100 closed-won deals and find that companies with 80-300 employees, Series A-B funding, and a sales-led motion close 3x faster and churn 60% less. The data tells you the ICP. Your job is to listen.
The principle: the ICP model is only as good as the data behind it. Minimum 50 closed-won deals for a directional model. Minimum 100 for a statistically meaningful one. If you have fewer than 50 wins, use the qualitative icp-definition-framework skill instead.
The Data You Need
Required datasets
| Dataset | Source | Minimum size | What it tells you |
|---|---|---|---|
| Closed-won deals | CRM (Opportunities, Closed Won) | 50+ deals | Which companies actually buy |
| Closed-lost deals | CRM (Opportunities, Closed Lost) | 50+ deals | Which companies evaluate but don't buy. The contrast with won reveals fit |
| Churned customers | CS platform or CRM | 20+ churned accounts | Which companies leave. Anti-ICP signal |
| Active healthy customers | CS platform or CRM | 30+ accounts | Which companies stay and grow. Strongest ICP signal |
| Enrichment data | Apollo, Clearbit, or CRM enrichment fields | All accounts enriched | Firmographic and technographic attributes for analysis |