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Customer Lifetime Value Forecast

Knowing how much a customer is worth before they know it

Challenges

  • Developer and publisher of online games

  • Accurately forecasting Customer Lifetime Value (CLTV) in aggregate and for individual customers a key business priority

Solutions

  • 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

Values

  • 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

Technologies

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Sectors

Gaming & Media

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