Deploying Scores to CRM

A propensity model that lives in a spreadsheet or a data science notebook is an interesting analysis. A propensity model that writes scores directly to the CRM where reps see them every day is a operational tool. Deployment means the score is visible on the deal record, updates automatically as deal attributes change, and is available for reports, dashboards, and workflow triggers.

1. Score Field in CRM Create a custom field on the deal object: "Propensity Score" (percentage, 0-100). Make it read-only — reps should see it but not edit it. Display it prominently on the deal record layout. A score that is buried three tabs deep will be ignored.
2. Automated Scoring Pipeline Build a scoring pipeline that recalculates scores on a defined cadence: daily for active deals, immediately on stage change, and on any feature update (new meeting logged, decision-maker contact added). The score should always reflect the current state of the deal, not the state when it was last calculated.
3. Score-Based Automation Use propensity scores to drive workflow automation: deals with scores above 75% get fast-tracked to the deal desk. Deals with scores below 20% that have been active for 30+ days are flagged for disqualification review. Deals whose scores drop more than 15 points in a week trigger an alert to the manager.