17% saving of annual catalogue mailing costs, through improved targeting
A luxury fashion retailer optimised their marketing spend by using a machine learning model that predicts who is most likely to respond to catalogue sales campaigns with high accuracy.
How did we help?
Using data describing their customers’ purchasing habits, we were able to deliver a self-service machine learning solution which this company can use in advance of each marketing campaign to predict who is likely to make a purchase, thus allowing them to improve their targeting, save costs and smartly reallocate their marketing budget towards other initiatives.
“Our catalogue marketing campaigns are hugely important for our business. With the model that Ecovis delivered, we are now able to select our catalogue audience according to their likelihood of responding. We expect this to return to us an annual net saving of approximately 17% of our annual catalogue mailing costs for minimal loss of demand. The data analytics team at Ecovis understood the scope of the work, were professional and patient, and delivered exactly the end product that we needed. This was a dream project for us, and I look forward to having their ongoing support.”
Luxury Fashion Retailer