Understanding client ecosystems will allow you to shape client engagement and attrition predictors. Client engagement is the connection between your organization and your clients. This is facilitated via a number of channels where many data points are being recorded and used to predict future interactions. These data points are used to determine the style of engagement, energy of interaction, and overall sentiment. We use a machine learning approach and a number of algorithms to determine the most optimal interaction approaches. The interaction style is tracked and differs between glass, voice and human interactions.
- Moving beyond the individual by understanding customer networks.
- Front-end retention analysis show areas of improvement when selling and onboarding customers.
- Predicting when customers are about to switch to alternatives.
The process of onboarding clients, and ensuring ongoing service delivery, requires a combination of algorithms to be assembled and deployed as an ensemble to achieve prediction quality.