Projected Campaign efficiency improves by 34%

Before Optimization

Same offer was emailed to ~3.5 million customers

Campaign generated $346K net revenue

Optimization

Built 6 propensity and 6 net revenue models for 6 product offers

Developed an optimization engine that assigns the offers to high propensity to buy customers and maximize the campaign net revenue

After Optimization

Optimized campaign gives 6 offers to ~3.5 million customers, each customer receives one offer

Campaign projected $464K net revenue, a 34% increase compared to no optimization

Model performance