Subscriber Lifetime Value Modelling

We help clients turn customer data into insight, predicting lifetime value and building lasting relationships.

What data is required?

We can build powerful models even with basic data such as customer tenure and current status. For more advanced analysis, demographic and behavioural data allow us to capture deeper patterns and make more accurate predictions.

How does it work?

Our approach depends on the data available and the goals of your business. In some cases, we use traditional statistical methods like survival analysis. When more data is available, we apply machine learning models that predict how long customers are likely to stay and how their value evolves throughout their journey.

What is Customer Lifetime Value?

Customer Lifetime Value represents the total revenue a customer contributes over their relationship with a brand, after deducting costs. Understanding this helps businesses decide how much to invest in marketing and retention, and to evaluate the long-term payoff of different customer strategies or subscription models.

Where have we used it?

We have applied Customer Lifetime Value Modelling in publishing and online retail sectors to help organisations optimise marketing investment and increase customer retention.