Case studies
Carrefour
Carrefour captures +45% more new customers with +37% LTV ROAS in DV360 thanks a to a bespoke ML model that predicts high value customers
“Thanks to optimising towards high LifeTime Value customer signals in DV360 rather than just transaction value, we are able to truly align marketing campaigns with our internal goal of acquiring high LTV customers”
Carrefour SpainThe Company
Carrefour Group is a French multinational specialized in retail that now has stores in more than 30 countries reaching 104 million households across the world each year.
Carrefour Spain, the Spanish subsidiary of Carrefour Group, has more than 1.000 stores in Spain and great eCommerce platform selling a wide variety of products including online groceries. Carrefour has an inspiration to continue growing in the online environment by accelerating its digitization.
The Challenge
For omnichannel retail groceries, Lifetime Value (LTV) plays a key role. Measuring Customer loyalty and making marketing decisions based on LTV across channels is essential to keep on acquiring new loyal customers. One of the biggest challenges about LTV is its difficulty to include these signals in DV360 in new customer acquisition campaigns. While for returning customers historical transaction data is available for predicting future LTV, for new acquired customers predicting LTV and using these signals for Bidding is more challenging.
The Aproach
Carrefour, In collaboration with Making Science as the Tech Partner has developed a Machine Learning model that predicts the LTV for new acquired customers and imports the predicted LTV through Matchid.
Making Science has developed a Custom Bidding Algorithm that leverages the Machine Learning LTV signal in Prospecting DV360 campaigns (new customer acquisition campaigns).
Arena as the Agency and as the responsible for the media activation has developed an A/B test in DV360 comparing previous Custom Bidding (Using Revenue signals) Vs the new test leveraging the new Customer Bidding (using predictive LTV signals).
The Results
Carrefour implemented predictive LTV signals in DV360 and after an A/B test that lasted 6 months, these were the results.
- +45% New Customers were acquired or re-activated (non purchases in a year) in the test arm
- -34% Cost per acquiring or re-activating new customers
- +50% LTV ROAS was achieved for new customers in the test arm
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Raising, Making Science Technology Division, founded from the fusion of business expertise and data science to create AI-powered products to optimize clients' marketing strategies and platform performance.