By combining churn models, customer lifetime value, and purchase probability, the solution can suggest the next best action in customer interactions. The recommendations are probability-based and take into account both the customer's situation and the company's objectives. Over time, the model learns which types of actions actually produce the desired effect.
Predictive customer dialogue – from insight to action
Traditional customer dialogue analysis explains what has happened. Predictive customer dialogue is about understanding what is likely to happen—and how the organization should act accordingly. This is where machine learning delivers real business value.
