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In this report, we use a simple R-F-M (Recency-Frequency-Monetary) model to categorize customers into different segments. This model helps sales team to identify customer shopping behavior or marketing team to find the best campaign for each customer segment. We use data in AdventureWorks database and based on the Sales Order to identify the segments for each customer.
Please let me know how do you think about this design. I would love to hear your feedback. Thank you and happy analyzing!
@demo @Datavisualization @PowerBI @AdventureWorks @Dashboard @Sales @RFMmodel
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Great Report!
This report looks amazing so far, looks easy to follow up
Very detailed and interactive!
extremely thorough demonstration!
I like the design and detail. Lovely report!
I need a demo!
This is clear and spectacular! I can imagine many details about customer segmentation.
The breadth of data covered by the dashboard is truly impressive. It seamlessly integrates data from various sources and presents it in a cohesive manner.
This dashboard is what I need. Could you share the .pbix file?
The RFM model is a way to segment customers based on their purchase history. It looks at how recently they made a purchase, how often they make purchases, and how much they spend. By using this model, companies can better understand their customers and target them with more effective marketing messages. Peaceee!
Nice job, it helps me a lot!
This report is very insightful and informative!
What an impressive dashboard!
The report is understandable. The style is amazing
This report is very detailed and understandable. Thank you!
That's all I need. Thanks for Publishers very much!!
This report is very detailed and clear. The style is amazing!
Such a great dashboard! I love how the report effectively utilizes the RFM model and AdventureWorks database to provide insights into customer segmentation.
Thank you for conveying me that RFM analysis can be done so well with Power BI.
The R-F-M model provides excellent insights, which helps us to understand customer behaviors and identify effective, possible opportunities. Overall, great job!