AI identifies adoption patterns; new segmentation maximizes impact of spend
Challenge:
Optimize media spend by efficiently targeting audience
Our Solve:
- Analyze at the account levels to differentiate purchaser vs low/non purchasers
- Identify and segment adopting/buying accounts and non-purchasing through machine learning
Result:
- Machine learning models analyzed product adoption based on HCP attributes (ex:market potential, sales force, demographics)
- +26% increase in spend to market writers from Loyalists and Dabblers
- +20% increase in HCP Non-Writers; more likely to adopt when reached