top of page

Customer Lifetime Value Forecast
Knowing how much a customer is worth before they know it
Challenge
Developer and publisher of online games
Accurately forecasting Customer Lifetime Value (CLTV) in aggregate and for individual customers a key business priority
Developed a two-stage prediction model that first predicts the likelihood of a user being active early after registration
The model secondly estimates the revenue generated in year one post-registration
Solution
Value
Marketing and management teams provided with real-time revenue predictions for targeted customers at the relevant level
Optimal marketing channels can now be identified based on customer’s expected CLTV
In-house team trained to maintain model going forward
Roles
Data Scientist
Tools
![]() Describe your image |
---|
![]() Describe your image |
![]() Describe your image |
![]() Describe your image |
![]() Describe your image |
![]() Describe your image |
Sector
Gaming
bottom of page