Predictive modelling reduced marketing cost per acquisition by 45%

The solution

We used predictive modelling based on data insight from existing customers that activated after registration and had a good level of lifetime value.

This information formed the basis of our marketing strategy which was a highly targeted door drop campaign.

We targeted postal sectors using CACI Acorn that had a high penetration of customers with profiles that closely matched our data insight and predictive modelling results.

The results

The campaign increased the number of customer sign-ups, with 100,000 new customer accounts having been created during the campaign.