Rebuilt a Revenue Metrics Framework. Found $7.3M Nobody Was Measuring.

A national sales organization had pivoted its strategy from volume growth to revenue growth. But the operating model was still rewarding the old playbook. Reps were measured on new-account conversion rate and total units sold. The comp plan, the call routing policy, the incentive trip criteria: all of it was optimized for speed and volume, not revenue depth. Reps who transferred calls fast and closed quick transactions were winning. Reps who spent time on discovery and existing customer revenue were not.

The core problem was not rep behavior. It was that the metric driving everything did not capture revenue impact. So I built one. I designed a "revenue conversion rate" that measured positive revenue impact across both new and existing customer accounts. The metric did not exist anywhere in the organization. I modeled it retroactively against historical performance data to establish a valid baseline, then used that baseline to make the case for a full realignment across 6 functions, 20+ stakeholders, and an 8-person core team: new comp weighting toward total revenue sold, a revenue conversion rate qualifier on the annual incentive trip, and a rewritten call ownership policy that required discovery before transfer. A controlled pilot validated the model. Enablement materials and coaching frameworks were built for frontline managers to run independently.

The result was a $7.3M increase in annual revenue and a revenue conversion rate improvement from .24 to .27. The metric became a standard performance measure in live business reporting.