Headcount bands and ZIP codes split the market by proxy. GraphIQ.ai weights territories by real structure — corporate families, relationship density, and live signals — so reps get balanced, opportunity-dense books.
Territories carved by static firmographics — industry code, employee band, geography. Two reps get “equal” patches that hold wildly different opportunity.
Territories balanced by graph-weighted opportunity — account families, relationship density, and signal volume, so every book holds comparable upside.
Pull your addressable market into the graph as resolved entities.
Score each account on family size, live signals, and ICP fit.
Distribute weighted accounts evenly across reps and segments.
Re-run as the graph and signals shift — rebalancing is a query, not a project.
Each account is scored not just on size, but on its position in the graph — family relationships, connected entities, and live signals — so a territory's weight reflects real opportunity, not a headcount proxy.
Yes. Layer graph weighting on top of your geo or segment rules to refine the model you already run — you don't have to start from scratch.
As often as you like. The underlying graph updates continuously, so re-running territory math is a query you can repeat every planning cycle — or more.