It ranks all sport category, tournaments, events and betting markets by the predicted affinity for each bettor based on a machine learning algorithm that analyses their betting patterns. This allows operators to offer a personalised betting experience to their clients.

It ranks games by the predicted affinity for each player based on a machine learning algorithm that analyzes their game patterns. This allows operators to configure the casino lobby in a personlised way for each player. It can be used for campaigns or integrated into CRM tools or operators’ front end to automate processes.

It allows the operator to predict the player’s LTV for different time periods such as 6 months, 1 year, 2 years, etc. This is extremely important for estimating ROI in future campaigns, or for deciding how much to reward customers.

This module not only predicts whether and when a client is going to become inactive, but also suggests what to do if a client is about to or has already become inactive.

With Jada’s AI a thorough analysis of the language used by customers in their communications with the operator, this module provides insights into customer base sentiment thus allowing operators to act quickly and anticipate solutions in real time.

It allows to analyze the results of campaigns carried out and then optimize the marketing activity. This module has powerful capabilities to provide operators with the granularity they need in information.

It identifies potential VIP players before they hit or miss the operators’ existing segmentation thresholds. It also highlights the reasons why a player could turn into a VIP. 

A powerful algorithm determines a player’s risk of becoming a problem gambler and assigns an appropriate rating so operators can act before the game becomes a problem. All information is anonymised to protect data privacy.