Find a VIP player in 3 days with MICo's ML solution
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Find a VIP player in 3 days with MICo's ML solution
5% players generate up to 80% of iGaming-operator revenue.
The problem is that most operators find these players after 30-60 days, when a competitor has already had time to offer them better cashback.
MICo, a developer of AI solutions for iGaming, implemented one of its ML products for an operator with 700k+ MAUs and showed: future high rollers can be identified already on the 3rd-7th day of activity.
The algorithm analyses player behaviour - from betting dynamics to reactions to bonuses - and generates a priority list for VIP teams faster and more accurately than standard analytical filters.
Earlier identification of VIPs allowed for such effects:
- average deposit +58%
- deposit frequency ×2
- At day 30, 56% higher than those detected without ML
Broke down the methodology, figures and the effect on operator revenue in a case study:
In an interview with Denis Romanovsky, Chief AI Officer at SOFTSWISS, key aspects of AI implementation in iGaming are discussed, including employee training and optimization of business processes.
An overview of the top 10 brands in the US iGaming market in 2025. Find out which companies are leading the way and what their revenue and market share forecasts are.
The article discusses effective bonus mechanics to increase player engagement in the Turkish market in 2026. Risk-free betting, freespins, cashback and other strategies are discussed.
Recordings of players' sessions help to understand how they interact with the product. The article discusses examples of analysing and solving problems related to engagement and functionality.
The iGaming Talent Trends 2026 report shows how companies in iGaming are adapting to changes in the labour market and developing employee competencies for effective recruitment.
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