Expand TAM with lookalike modeling from closed-won data

The problem

Your outbound targets the same accounts everyone else is chasing. Meanwhile, thousands of companies that look exactly like your best customers are not in any rep's pipeline.

The system

1. Extract won-deal features. Firmographics, technographics, and signal patterns from closed-won.
2. Search the market. Similarity scoring across sourced TAM identifies lookalikes.
3. Score and rank. Lookalikes ranked by similarity score and signal activity.
4. Deliver to reps. Ranked expansion list with similarity evidence per account.

Field notes

Lookalike expansion is the highest-leverage TAM activity because the targeting is evidence-based, not demographic guesswork.