Predictive modelling reduced marketing campaign cost per acquisition by 45%

100k

new customer account registrations

45%

reduction in cost per acquisition

Client

A leading online pharmacy

The challenge

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

This highly targeted door drop campaign reduced the cost per acquisition by 45%

Our solution

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 benefits

  • The campaign increase 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%

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Get in touch

We were really impressed with the CRM strategy and predictive modelling approach

Marketing Director

Leading online pharmacy

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