Territory planning that works: ranked accounts, honest quota math, timed buying signals, and a monthly call wave — with machine-checked weekly briefs.
Territory intelligence is the layer that turns a list of accounts and a quota into a plan a team can execute: which accounts in the territory matter most, how much pipeline the number really requires, and which accounts have a dated reason to buy in the coming months.
Classic territory planning stops at assignment — who owns which region or segment. Territory intelligence keeps working after that: it ranks the accounts, checks the quota arithmetic against deal size and win rate, and watches for events with a date attached, such as contract expiries, expected re-tenders and regulatory deadlines.
A rep covering the public sector in one region has 120 accounts and an annual target. Instead of calling alphabetically, they get a monthly wave of 15 accounts: the ones that score highest, are warm enough to call and have a signal in its sales window — for example a service contract that ends in nine months while the typical sales cycle is six.
Most territory tools stop at coloured maps and static assignments. SalesDots Territory Intelligence adds the working layer: it scores and ranks the accounts, does the quota arithmetic honestly, watches for dated buying signals, and turns all of it into a monthly wave of calls a team can really make.
Accounts are scored on weighted dimensions and ranked category-first. AI-suggested scores appear as suggestions you accept or override with one click — your judgment always outranks the machine's.
Build quota from deal mix: your offerings, typical deal size, and win rate. The model shows two honest numbers — target coverage and the pipeline you actually need — live, as you type. Run scenarios side by side.
Contract expiries, predicted re-tenders, and regulatory deadlines land on one calendar, each with a sales window computed from your sales cycle — so outreach starts while it can still matter.
Weighted scoring models with category boosts and transparent subscores. Suggested values are visually distinct from confirmed ones, and a manual override always wins.
Coverage percentage and required pipeline, with the ratio behind them explained — broken down per offering line, recalculated on every keystroke.
One timeline of regulation enforcement dates showing which accounts each framework touches, alongside contract-expiry estimates and re-tender predictions from public procurement.
A ranked call list built from score, relationship warmth, a dated signal in its window, and a play you can actually sell — capped to an executable size. Your edits survive every rebuild.
A territory brief whose every figure is machine-checked against the underlying data before it reaches you — and available to Luna, the embedded copilot.
Paste accounts straight from a spreadsheet. Companies resolve by official identifiers, and every input row's outcome is accounted for — nothing disappears quietly.
Import from a spreadsheet or assign by rules. A step-by-step strip shows exactly where the territory stands and what to do next.
Accept or override the suggested scores, categorize the portfolio, and build the quota model from your real offerings and win rates.
Each month a ranked, signal-backed call list; each week a brief with verified numbers. The team executes instead of re-planning.
Territory intelligence is the discipline of turning a set of accounts into an executable plan: who is in the territory, how they rank, what quota is realistic, and who to call this month. SalesDots implements it as a working layer — scoring, quota math, timed signals, and monthly call waves — on top of territory assignment and mapping.
Each account is scored on weighted dimensions with category boosts, and ranked category-first. The system proposes subscores; you accept or override them with one click, and a manual override always beats the suggestion. The ranking is transparent — you can see every component of every score.
You build quota from deal mix: pick offerings, set typical deal size and win rate per line, and the model computes target coverage and the pipeline actually required — including the coverage ratio behind the number. Scenarios sit side by side, and the math updates live as you type.
Hard requirements, not vibes: a dated signal inside its sales window — a contract expiry, a predicted re-tender, or a regulatory deadline — and a play you can actually sell, based on your confirmed offerings. Ranking then orders candidates by score and relationship warmth. The wave is capped to what a team can execute, and your manual edits survive every rebuild.
Yes — that is the point. Every numeric claim in the brief is validated against the machine-computed facts before it reaches you; anything that cannot be verified is replaced with the deterministic figures. The brief carries a verified-numbers badge, and Luna can read it on demand.
Three ways: paste from a spreadsheet — companies resolve by official identifiers and every row's outcome is reported; assignment rules; or manual assignment. Imports are accounted for line by line, so nothing is lost silently.
Works best when combined with these modules
Book a demo and see Territory Intelligence on your own pipeline.