Case Study

A global hospitality company uses Aicadium’s loyalty prediction engine to improve marketing ROI


Having recently launched a digital loyalty program, and preparing for an accompanying mobile app release, the hospitality company wanted to understand which customers and profiles were more likely to spend with them in the future. They wanted to generate individual predictions for each customer segment-of-one in order to more effectively target offers and recommendations.


Using Aicadium’s loyalty prediction engine, the organisation is able to easily predict customer loyalty (churn) and customer lifetime value (CLV) through customized ML models. Data sources were fused to overcome limited historical period data.


The engine empowers loyalty teams with real-time intelligence and app hyper-personalization. With customized algorithms achieving 80% accuracy, they are now able to serve targeted offers which significantly outperform other vendors in less than half the time. This results in a 30 – 50% increase in marketing spend ROI.

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