This report focuses on identifying the most valuable customers in your store during a specified time using the RFM framework. RFM analysis is a customer segmentation technique that evaluates customer engagement and contribution to revenue based on three dimensions: Recency, Frequency, and Monetary Value.
R - Recency indicates how recently a customer has purchased a product.
F - Frequency measures how often a customer makes purchases.
M - Monetary value assesses the total value of a customer's transactions over a specific period.
Customers are ranked on a scale of 1-5 for each dimension, and their scores are then aggregated to calculate the "Total score". A higher score indicates a more valuable customer, while a lower score indicates the opposite.
How to use this Hop.
Simply create an Airboxr account and connect your Shopify store to automatically run this export/analysis for your store. If you already have an account, click on the Add to my Collection button above.
Customer Segmentation: Utilizing the RFM framework, the report enables e-commerce stores to segment customers based on their Recency, Frequency, and Monetary Value scores. This segmentation categorizes customers into distinct groups, such as high-value, medium-value, and low-value segments. Each segment represents a different level of engagement and contribution to revenue. High-value customer segments can be the focus of targeted marketing and personalized engagement strategies. Similarly, low and medium-value segments can be targeted in order to encourage sales and increase customer retention.
In This Report
Number of Purchases
Recency Score (R)
Frequency Score (F)
Monetary Score (M)
Last Purchase Date