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4. On RummyCircle, the player journey works in the following fashion: a. b. A player creates his account. He is now eligible to participate
4. On RummyCircle, the player journey works in the following fashion: a. b. A player creates his account. He is now eligible to participate in free to play rummy games. The player makes a deposit to his account. He is now eligible to play for cash rummy games where the entry fee is less than or equal to his account balance. At this point, the player has still not generated any revenue. The player joins a cash game. The entry fee is paid from his account and the account balance is therefore reduced. He plays against other players who have put in the same entry fees - if he wins, he gets the entry fees of other players net of the service charges. These service charges form the revenue for RummyCircle. d. The player can add more money to his account, withdraw money or continue playing more cash rummy games. C. Now, it is observed that 15% of the players getting to step 2 (making the first deposit) do not play cash games beyond the very day they made the deposit. We would like to identify if a player would be part of the 15% and do so no later than the end of the first cash game. How would you go about doing so? List the pros and cons of the approaches you would like to follow here. The following data for the player would be available: i. ii. iii. iv. Demographic - Age, Sex, Location Registration Source - Direct visit, Referral, Specific Ad Sources Game data - Type, count and performance of free games played and the first cash rummy game Deposit data - Amount and method of the first deposit You can make reasonable assumptions about the data distribution. You can add any additional data that you'd like to look at and which would reasonably be expected to be available.
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Step: 1
Approach 1 This approach would involve using machine learning algorithms to identify patterns in the data of players who make deposits but dont play c...Get Instant Access to Expert-Tailored Solutions
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