Churn prediction

On base of long term and recent history data the clients intending to leave are identified with up to 96% accuracy depending on available data. The identification serves as the basis for targeted communication and marketing in aim to prevent the individual clients to leave.

The cost of acquiring a new client is several times higher than the cost of retainment of existing clients.


Propensity to buy

Analysis of available data gives result for individual clients how likely they are buying a particular telco product. The model outcome directs the teclo to right time offerings to individual clients or customer segments.



Optimal product pricing determines the optimal price for individual telco products in aim of different client segments or individual client's expectations.


Product recommendation

Recommendation engines basically use algorithms and data to recommend the most relevant items to a particular individual client or customer segments.