Each app feeds the next. Data flows from LOOM through to PULSE without manual re-entry — giving you a single, connected view of your sales operation.
Your CRM is only as reliable as the data inside it. LOOM audits every record, surfaces gaps before they compound, and outputs a clean dataset ready for territory design and forecasting.
Territory design built on data, not politics. TERRANE takes your cleaned account list and distributes rep workloads by capacity, opportunity weight, and density — then scores balance across every territory.
Move comp design out of spreadsheets. QUOTAL models quota allocation at the rep level, simulates attainment scenarios, and produces a comp structure built around how your team actually sells.
A forecast your leadership can actually rely on. PULSE weights your pipeline by stage, rep, and historical win rate to produce a revenue readiness score — with variance alerts before the quarter closes.
System overview
| App | What it does | Input | Output | Feeds into |
|---|---|---|---|---|
| LOOM | CRM Data Control — standardize, deduplicate, and enrich contact and account records before planning begins | CSV export from any CRM | Cleaned CSV — ready for CRM re-import | TERRANEPULSEYour CRM |
| TERRANE | Territory Design — balance rep territories by account count and revenue potential, model scenarios, and export an approved plan | CRM account list (LOOM output or raw export) | Excel workbook (3 sheets) + Territory map CSV | QUOTALPULSE |
| QUOTAL | Sales Compensation Design — build quota models, assign comp plans, generate signed-off plan documents per rep | Revenue target + rep roster (TERRANE output or manual) | Individual comp plan PDFs + Quota CSV | PULSERep distribution |
| PULSE | Revenue Readiness — apply win rates to live pipeline, measure rep-level gap to quota, produce exec forecast | Pipeline CSV from CRM + QUOTAL quota file + TERRANE map + LOOM account data | Revenue readiness dashboard · Full CSV · Executive PNG / PDF | Board deckForecast reviewLeadership |
We'll walk you through the full platform against your actual data.
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