Case study card:
Predict churn to identify high-risk customers and prevent revenue loss
With access to all sales and marketing data, we were able to deliver intelligent machine learning solutions to improve all key performance metrics.
It begins with understanding customers from input signals, profiling and segmenting consumers at a more granular level than would be possible with traditional statistical or human teams. The result is the presentation of far more accurate product recommendations, also delivered at an incredibly granular (essentially 1 to 1) level, thereby improving customer retention and satisfaction scores, further resulting in increased uptake of both special offers and the loyalty program.
All results are A|B tested against traditional methods and performance regularly improves revenue by 10% across all digital sales channels.