territory-balancelisted
Install: claude install-skill varunk130/ai-gtm-skill-library
# Territory Balance (EVEN Framework)
Territories split by alphabet, zip code, or headcount look fair on a slide but drift out of balance within weeks. Territory Balance scores every account for near-term potential, then assigns accounts so each rep carries a comparable share of opportunity and a workload they can actually cover.
## Core Principle
**Balance opportunity and effort, not account count.** Ten enterprise logos and ten small businesses are not the same book.
## The EVEN Framework
| Letter | Step | The Question |
|---|---|---|
| **E** | Estimate | What is each account worth in the next 12 months? (whitespace × propensity) |
| **V** | Visit load | How many touches does each account need at its tier? |
| **E** | Equalize | Which assignment keeps every rep within ±10% of the mean potential and capacity? |
| **N** | Nudge | Which exceptions (existing relationships, language, time zone) justify breaking balance? |
**Account potential** = whitespace ($) × propensity (0-1), where propensity blends fit, intent, and engagement.
**Rep load** = Σ(touches per account per month) ÷ rep capacity (touches per month). Target 0.75-0.9.
## Process
1. **Score accounts** - compute potential; tier into A (top 20% of potential), B (next 30%), C (rest)
2. **Set touch norms** - e.g. A = 8/month, B = 3/month, C = 1/month (pooled or digital-led)
3. **Assign greedily** - hand out accounts in descending potential to the rep with the lowest current potential who still has capacity
4. **A