A national insurance agency had been deploying direct mail campaigns with limited performance.  Vado used their 1st party response and sales data to develop a custom predictive model to predict who their likely responders were and where their look a likes lived.

The client then used that model to inform who they should be sending direct mail to, and (more importantly) who they should exclude from their direct mail campaigns going forward.

Result: 97%+ improvement in direct mail sales, with no change to direct mail volume