Balance account potential across reps. Kill the unfair territory complaint before it starts.
All cells are editable. Adjusted potential accounts for quality scores (industry + geography), adjusting raw potential by up to 30%.
Territory inequity is one of the top three reasons good AEs leave. When reps believe their territory is smaller, harder, or less valuable than their peers', they stop trusting leadership and start job hunting. The belief doesn't even have to be accurate — perceived inequity is enough to trigger disengagement. The challenge is that most sales leaders don't have the tools to prove or disprove the perception, so territory complaints become political arguments rather than data conversations.
Raw account count alone is a bad measure of territory quality. A territory with 200 low-quality SMB accounts may be worth less than one with 50 enterprise targets. What makes a territory fair is adjusted potential: the product of account quantity, average account size, and quality factors including industry fit and geography. The equity score compresses this into a single number. A variance of ±15% across reps carrying the same quota is acceptable — it reflects the natural noise in any territory model. Beyond 20% variance, you have a design problem. The best time to rebalance is at fiscal year planning, before reps are ramped and relationships are built. Annual rebalancing with grandfathering of existing accounts is the standard: reps who've invested time in an account don't lose it, but net new accounts get reassigned to level the potential. Best-in-class teams aim for less than 15% variance in adjusted potential across reps carrying the same quota.
Start with account potential, not just count. Weight each account by headcount, industry match, and geography quality. Calculate adjusted potential per rep and aim for less than 15% variance across the team.
Territory equity is the degree to which sales territories have comparable revenue potential across reps carrying similar quotas. High equity means reps succeed or fail based on their own performance, not their zip code.
Annually, at fiscal year planning time, is the standard. More frequent rebalancing disrupts momentum and existing relationships. Grandfather accounts for reps who have already invested in those relationships.
Account headcount (proxy for budget), industry (ICP fit score), geography (travel burden and account density), and any existing relationship signal such as prior engagement or open opportunities. Most CRMs have this data — it just needs to be pulled and scored.
Discuss this in #quota-planning with 194+ revenue operators in the community.