Customer retention in Telecom market is a big research challenge in developed as well as developing economies as the market is almost saturated as well as competitive with large number of local and global service providers. It is also well known that from business point of view retaining an existing customer is much less costly than acquiring a new one. Hence retaining existing customer by making them loyal is crucial for the sake of existence of the telecom providers. Customers can be made loyal by making them satisfied customers. One of the important factors that make a customer satisfied is the value for money as well as proper prepaid recharge plans that will suit their requirements. An association based rule mining model is proposed in this research work to enable telecom operators to choose proper recharge combo plans that will be mostly appropriate for the customers. The main objective of this analysis is to identify the frequent recharge-types (itemset) based on the support and confidence value from recharge history dataset. This will allow telecom providers to focus on creating combo plans by aggregating the mostly used service-categories. © 2017 IEEE.