Company XYZ is an online payment platform. The dashboard provides insights on the success of the platform and customer segmentation.
The dashboard displays some metrics that define the success of the platform such as the total number of transactions, total volume of transactions, no of customers. The dashboard provides graphical representations of these metrics to enable users to easily track the success of the platform.
For customer segmentation on the platform, I used the RFM model which stands for Recency, Frequency, and Monetary value. This model is a widely recognized segmentation technique that helps identify groups of customers based on their behavior and value to the business.
Recency measures the time since the customer's last transaction, frequency measures the number of transactions over a certain period, and monetary value measures the amount of money spent by the customer on the platform. By analyzing these three variables, I was able to group customers into segments such as high-value customers, loyal customers, and customers who are at risk of churning.
Using this segmentation, we can tailor marketing campaigns and product offerings to each group, thereby increasing customer satisfaction, loyalty, and revenue for the company.