About MICo
MICo builds machine learning models on an operator's own data. Inputs include gameplay, sessions, betting patterns, deposits, bonus response and clicks. The models are tuned per client, and results are tied to business metrics such as LTV, retention, conversion, ARPU and GGR.
The main product is a game recommendation system. In one case study, an operator with about 615K monthly active users swapped rule-based picks in its "Recommended for You" lobby block for MICo's model. The company reports 14% higher GGR across the platform with no extra traffic.
CRM teams can feed the predictions into segments and campaigns. Ask for a test on your own lobby with a control group before you roll it out.