Dear Esteemed Business Partner
✍🏼Hi Derek here, one of the members of the team of Loloyal, and I am privileged to share with you the moment of functional updates about Loloyal.
We have extensively updated the data performance analysis of the loyalty system. We hope these improvements will help you run your loyalty system more efficiently.
📈Point Balance Table
This table shows the points collected and used by all store users within a specific period. By analyzing this data, we can evaluate the efficiency of point issuance. At the same time, this table can also show the current balance of points that shoppers can redeem for coupons, which helps us predict the future costs required to operate an effective loyalty system.
In addition, by analyzing the ratio of points used to points earned, we can assess the operational effectiveness of the loyalty system. At the same time, looking at the number of expired points helps to evaluate the rationality of the points expiration policy.
📈Members and Non-Members Analysis Table
This table can be used to analyze whether the system effectively encourages more members to redeem coupons and to compare the ratio of members to non-members. With this data, we can develop more effective loyalty system strategies to enable users to become loyal members.
📈Referral Table
Through the statistics of tables and line charts, the operating effect of the referral system can be efficiently analyzed. This data will help us develop more effective loyalty system strategies, reduce advertising costs, and create a more efficient referral system.
💰 We hope these updates will help your business thrive and prosper.🚀