This algorithm can be used by gaming companies to predict if customers will make another purchase. This is done with the help of the the total amount of the transactions of the customer. When this amount grows, the chance of the customer making another purchase increases. This algorithm will need a csv file which includes the account names of the customers and the total amount of transactions. As output a list is given of account names with customers who have a high chance (higher than 89%) of returning. This list can be used by the company to help with customer retention strategies, for example rewarding loyal customers.
- (Required): A csv file that includes account names of customers and a total amount of transactions.
- Account names of customers with a high chance (higher than 89%) of returning.