GitHub / PriyadharshanSaba / OnlineRetailSales-RMFmodel
Hypothesizes that customers who have made a purchase recently, make regular or frequent purchases with you and spend a large amount with you, are more likely to respond positively to future engagement and product offers. This might seem intuitively obvious to those of us who have experience in sales – but what the RFM model brings to the table is a framework for objectively measuring these three ideas on a numerical scale.
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PURL: pkg:github/PriyadharshanSaba/OnlineRetailSales-RMFmodel
Stars: 2
Forks: 1
Open issues: 0
License: None
Language: Python
Size: 21.8 MB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: almost 2 years ago
Pushed at: about 7 years ago
Last synced at: almost 2 years ago
Topics: frequency-analysis, kmeans, kmeans-clustering, recency, rmf