Case Studies
Case Study: Ecommerce, reduce churn.
Featurespace increases revenue uplift and decreases customer churn for leading online businesses. Featurespace can provide an early indication, in real-time, precisely which customers are likely to churn. Resources can then be focused on targeting just the customers likely to churn, with the right offer at the right time.
Case Study: Mobile Gaming, reduce churn.
Featurespace decreases customer churn in the Mobile Gaming market. Featurespace can detect customer churn before it starts, in real-time, which provides a vital early opportunity to retain customers considering leaving. Due to the high initial acquisition cost of every new customer, maximising the longevity of a customer lifetime is essential to maintaining operating margin.
Case Study: Betting, reduce churn.
Featurespace reduces fraud and churn in the Online Betting Industry. Featurespace can identify and reduce fraudulent activity that routinely threatens profitability. Featurespace can process vast amounts of data, in real-time in order to meet the challenge of identifying customers at risk of churning. Due to the high initial acquisition cost of every new customer, maximising the longevity of a customer lifetime is essential to maintaining operating margin.
Case Study: Insurance, fraud detection.
Featurespace can detect car insurance application fraud, before it happens. Featurespace’s solution can detect fraud across the insurance industry and has algorithms designed to accurately identify fraudulent car insurance applications at an individual level.
Case Study: Financial, fraud detection.
Featurespace can reduce loan application fraud and boost business growth. Featurespace’s solution is designed to stop fraud before it starts, by automatically processing thousands of pieces of data in real-time, to identify potential risk and make instant and objective lending decisions.
Case Study: Betting, fraud detection.
Betfair increases fraud detection with Featurespace. Featurespace’s solution has enabled Betfair to gain an insight into each customer’s individual behaviours, predicting in real- time likely actions and anomalies. The system identifies suspicious customers and activities, allowing Betfair’s team to react immediately and prevent any attempted fraud with the appropriate action.