In this video, you will learn how to use RFM analysis to identify your best customers in Power BI.
RFM stands for Recency, Frequency, and Monetary value. These three metrics can be used to segment customers into groups based on their purchase history.
By segmenting your customers, you can better understand their needs and preferences. This information can then be used to create more personalized marketing campaigns and improve customer retention.
In this video, we will walk you through the following steps:
✅Importing your customer data into Power BI
✅Calculating RFM scores for each customer
✅Creating customer segments based on RFM scores
✅Visualizing your customer segmentation data
✅We will also provide tips on how to use RFM analysis to improve your marketing and sales efforts.
✅This video is perfect for anyone who wants to learn how to use RFM analysis to improve their customer segmentation in Power BI.
🔖Resources
Dataset :
https://mavenanalytics.io/challenges/...
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#datavisualization #powerbi #customersegmentation #rfm #marketanalysis
Video Chapters :
0:00 -Intro
0:16 -What is RFM?
1:41 -How does it work in Power BI?
9:43 -Create Your Visualizations
13:07 -What's next?