brskdnz

-Customer-Life-Time-Value-Prediction

Customer lifetime value (CLV) is one of the key stats to track as part of a customer experience program. CLV is a measurement of how valuable a customer is to your company, not just on a purchase-by-purchase basis but across the whole relationship

Advanced-EDA

How to analyze a data set with Python ?

Customer-Life-Time-Value-Prediction

Customer-Segmentation-with-RFM

Customer segmentation is so crucial to analyze customer demographics and behiviours with common techniques like RFM. RFM is one of many powerful KPIs that can be used to inform and measure the success of your enterprise’s marketing programs and customer experiences. RFM can be explained as a marketing technique that is created group and grade of each of them to determine best customers or campaign target customers depending recency, frequency, monetary.

brskdnz/-Customer-Life-Time-Value-Prediction

Customer lifetime value (CLV) is one of the key stats to track as part of a customer experience program. CLV is a measurement of how valuable a customer is to your company, not just on a purchase-by-purchase basis but across the whole relationship

brskdnz/Advanced-EDA

How to analyze a data set with Python ?

brskdnz/Customer-Life-Time-Value-Prediction

brskdnz/Customer-Segmentation-with-RFM

Customer segmentation is so crucial to analyze customer demographics and behiviours with common techniques like RFM. RFM is one of many powerful KPIs that can be used to inform and measure the success of your enterprise’s marketing programs and customer experiences. RFM can be explained as a marketing technique that is created group and grade of each of them to determine best customers or campaign target customers depending recency, frequency, monetary.