Early Customer Lifetime Value

The challenge

A payment platform aimed at understanding the lifetime value of their customers as early as possible in the customer journey. This would enable the client to prioritise support and tune campaigns better per customer segment.

The approach

In close collaboration with the client we set out to build a time series driven predictive model. In a first phase, we delivered a visual report to summarise the most important findings. In the next phase, we trained an AI model that predicts customers' lifetime value based on behaviour after joining the platform. This algorithm was then integrated in the data pipeline to automate the whole process.

The outcome

Dataroots provided the client with a much earlier view on a customer's value. This allows for higher margins to manoeuvre and improve targeted campaigns, provide VIP customers with real VIP treatments, and optimise support according to customer value. In short, higher efficiency and effectiveness in dealing with customers.