Case Study: a top 20 US-based pharma company reduces physician churn by 15% with The Smart Cube's predictive modelling

Predictive modelling helped global pharma firm reduce 15% of physician churn, amounting to revenue contribution worth $8 million

The Smart Cube worked with a top 20 US-based global pharma firm that was struggling to forecast physician churn, a significant issue where doctors stopped prescribing its products, which negatively impacted drug sales.

The vendor's solution involved using advanced machine learning techniques to build a predictive churn model. This analysis by The Smart Cube successfully identified at-risk physicians, allowing for targeted outreach that reduced churn by 15% and safeguarded $8 million in revenue.