Predictive modelling reduced marketing campaign cost per acquisition by 45%

A leading online pharmacy

To increase the number of new customers signing up to use the NHS repeat prescription (EPS) service.

We used Advanced Analytics 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 campaign increased the number of customer sign-ups
• By implementing a highly targeted and data-driven door drop campaign the client was able to reduce wastage and mailing costs which, in turn, reduced the cost per acquisition by 45%