Personalised loyalty recommendations led to 100% increase in sales per customer

Overview:

This multinational retailer, was sending out product recommendations and offers for their customer loyalty program using transaction data only. They wanted to know if there was any additional data and metrics they could utilise, that would improve the quality of their loyalty programme communications

The Challenge:

Refine the loyalty program and increase sales per customer

Objectives and Approach:

Using the retailer’s customer base, we looked at what customers bought before and used Starcount data to create mindset segments which helped build a clearer picture of these customers through interests, demographics and shopping behaviours.

Using this data we were able to give hyper personalised product recommendations that the retailer could use to target the customers in their loyalty program. 

Results:

This resulted in a 20% increase in CRM open rate and of those that opened the email there was an increase of 100% sale per customer