crm-icp-analysis

To build a data-driven ICP from HubSpot CRM data, this Skill analyzes your closed-won deals, associated companies, and buyer contacts to identify the firmographic and persona patterns that predict revenue. It aggregates deal metrics, clusters firmographics, and extracts buyer personas.

Yes, you can analyze closed-won deal revenue and sales cycle length in HubSpot. This Skill aggregates and summarizes deal counts, total revenue, average and median deal sizes, deal-size distribution, and sales cycle lengths from your HubSpot datasets to define your ICP sweet spots.

For ICP customer profiling, this Skill extracts firmographic signals like industry, employee count, revenue bands, and geographic clusters, alongside buyer persona signals by clustering contact job titles and seniority to identify primary and secondary buyers.

Yes, you need Cogny MCP HubSpot connectors with read access to run closed-won deal analysis. This Skill requires these connectors to access your HubSpot datasets and supports recording ICP recommendations and findings via the mcp__cogny__create_finding function.

The best way to score and segment leads against an ICP model is by cross-referencing deals, companies, and contacts. This Skill combines these dimensions to produce best and worst segments, an ICP scoring model, and anti-ICP rules for prioritizing outbound and ad targeting.

You should not use HubSpot closed-won data for ICP analysis if your CRM dataset is incomplete, messy, or lacks associated company and contact records. Meaningful firmographic clustering, buyer persona extraction, and deal-size segmentation require clean, well-connected historical CRM data.