Achieving 100% improvement in response from lapsed mail order customers
We took all available transactional data and mailing history, and built a predictive model to score lapsed customers for their likelihood to re-purchase.
The client now uses our model to drive their reactivation strategy through direct marketing communications.
In the first campaign where our model was used for selection, we saw 100% improvement in response, compared to the client’s own historical selection methods.