Having accurate knowledge on the effects products have on customer lifespan, as well as identifying both the rational and less rational aspects of customers – together with assessing the savings opportunities made available by the given products – provide assistance in the selection of client-tailored retention offers.
Learn more
A core element of analytical support for product sales is the expected profitability model, which can be construed by combining product affinity scores and the customer value effect.
Learn more
Thanks to predictive modelling and data mining solutions becoming increasingly advanced, the loss of customers due to late payment or non-payment, whether on a one-time or recurring basis, as well as intentional, customer-originated account fraud, can now be accurately forecasted in a timely fashion, with a number of cases even allowing for full prevention.
Learn moreSuccessful companies of the present and the future differentiate themselves in their Customer Experience Management (CEM). Comprehensive knowledge of clients’ needs and providing adequate answers are vital for all those who try to achieve excellence in this respect. Our related analytics provide the full-spectrum solutions matching the diverse demands.
Learn more
