Account Scoring Model
Rank accounts by company fit, buying intent and contact readiness. Adjust the weights and see why each account ranks.
Video walkthrough
Video walkthrough coming soon.
Problem
Sales teams need a clear reason to prioritise one account over another. A score without visible criteria makes it difficult to check whether the ranking makes sense.
Solution
I built a model with three criteria and adjustable weights. Each account shows its input scores and final result. Changing a weight updates the ranking. The model rejects an all-zero configuration instead of producing a misleading result.
Try the scoring build
Runs locally in your browser. No live contacts, emails or CRM records are changed.
Technical details
The default weights are 50 for company fit, 30 for buying intent and 20 for contact readiness. The weighted average is normalised, so 5:3:2 produces the same result as 50:30:20. The ranking can be exported to CSV.
Current integration status
Fit and intent inputs are fictional. Historical conversion validation is not available.
Results
Scores come from sample account data. This model has not been backtested against closed-won deals and has no claimed prediction accuracy.
Reflection
Next I would add technology signals and compare the ranking with historical opportunities. I would use that evidence to adjust weights and routing thresholds.