Customer Lifetime Value Prediction for a Leading Online Retailer

We helped our client, an online fashion retailer, optimise digital media spend by more accurately predicting future customer value.

Our Impact

Fully automated machine learning workflow

Identification of customers with ‘high future value’ that were otherwise classified as ‘low value’

Optimised audience targeting across paid search & paid social based on CLV

The challenge

Our client wanted to leverage historic orders and spend of customers to drive customer strategies across paid search and other marketing channels. Datatonic supported them with creating a model to accurately predict future customer value. With an accurate estimation of future customer value, the business can optimise its spend to acquire and re-engage customers, based on a reasonable expectation of monetary value it would expect to see returned.

The solution

In just five weeks, Datatonic delivered a rich feature set, with 270+ custom-level features, created from internal and  externally sourced data. Our fully automated machine learning workflow retrains customer lifetime value (CLV) models and assigns predictions to the full customer base each day. Our client can now identify customers with ‘high future value’ that were otherwise classified as ‘low value’ based on the current Recency Frequency Value segmentation and  optimise their audience targeting across paid search and paid social (through lookalike matching).

Related reading

If there’s data, we can optimise, innovate with and automate it to drive business value. Find out how we’ve supported the biggest brands across industries.

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