Customer Retention
Customer attrition is a costly problem business. For some companies, as little as a five percent improvement in customer retention can increase profitability by 25 to 100 percent.
Presidion customer retention solutions help organisations keep the right customers longer with real-time predictive analytics. Identify the customers most likely to defect before they end their relationship and predict which actions will earn their loyalty. Apply predictive analytics to discover churn patterns and develop profiles of customers who have defected for a deeper understanding of why they left. Pinpoint when and why certain customers defect to identify strategies to keep them as satisfied customers.
| Switzerland’s largest cable network operator switches on to customer retention Cablecom GmbH uses IBM-SPSS Predictive Analytics to Increase Customer Retention. Read more |
Deploy predictive retention intelligence to customer-facing employees and systems throughout your organisation to decrease customer churn in real time. Provide the early warning tellers, call centre reps and other employees need to take action to keep your best customers longer and improve customer lifetime value.
For example, with predictive intelligence integrated within a call centre application, your call centre representatives have the insight they need for the best chance of keeping customers happy. Call centre reps know each customer's lifetime value, their risk of churning, and the recommendation most likely to keep the customer happy. That recommendation can even be refined in real-time-while the representative is talking to the customer-by conducting a brief "needs assessment" survey. The rep then feeds that survey data into the call centre application and a new recommendation is generated based on real-time predictive analysis.