For a teen patti app, RFM analysis would segment players based on how recently they played a game or made a purchase, how frequently they play or buy chips, and how much they have spent. Players with high scores across all three dimensions are unequivocally high-value. This model allows for a nuanced segmentation beyond simple spending, identifying active, engaged users who might be on the verge of becoming high spenders, or those who were once high spenders but have become dormant. teen patti gold teen patti gold