CLV - Customer Lifetime Value

We need to understand the linkage between - Churn Analysis and CLV - Customer Lifetime Value . Churn analysis will help us find - which are the Customers who are most likely to leave our organization , its derived from Survival Analysis .CLV - Customer Lifetime Value will help us find which are the most valued Customers that we have . When we know who are our most valued Customers - we can easily focus on them and work out strategies to prevent their CHURN ( Exit from the Customer base )In this project - for now simply called Churn Analysis - we are focusing on creating an application SaaS offering , where we ingress data from a Client Company / Org , and predict the High Churn risk or High Flight risk customers.This platform needs to be designed such that we can cater to many organizations and provide them Churn Analytics for their Customers to begin with and maybe later also predict Churn for their internal stakeholders - their employees .

Further reading -  

1/ Churn Analysis -- https://josepcurtodiaz.gitbooks.io/customer-analytics-with-r/content/chapter9.html

https://www.r-bloggers.com/churn-analysis-part-1-model-selection/

https://towardsdatascience.com/predict-customer-churn-with-r-9e62357d47b4 

https://lukesingham.com/how-to-make-a-churn-model-in-r/ 

http://rstudio-pubs-static.s3.amazonaws.com/425842_7f6b2293079f4a5d8fc7d62aeac2a545.html 

https://www.dataoptimal.com/churn-prediction-with-r/ 

https://www.kaggle.com/ajayohri/churn-using-various-algorithms-in-r-rattle 

https://rpubs.com/newajay/simpletextmining 

RStats - CRAN - Churn analysis --- 

https://cran.r-project.org/web/packages/BTYD/vignettes/BTYD-walkthrough.pdf 

https://jtsulliv.github.io/churn-eda/ 

https://cran.r-project.org/web/packages/BTYDplus/vignettes/BTYDplus-HowTo.pdf 

https://cran.r-project.org/web/packages/correlationfunnel/vignettes/introducing_correlation_funnel.html 

https://cran.r-project.org/web/packages/C50/C50.pdf 

https://cran.r-project.org/web/packages/SMCRM/SMCRM.pdf 

https://cran.r-project.org/web/packages/EMP/EMP.pdf

http://rstudio-pubs-static.s3.amazonaws.com/443094_bc2c15d74e7e4b7b96d8fc95f3162b08.html 
 


2/  Survival Analysis
https://towardsdatascience.com/survival-analysis-part-a-70213df21c2e 
 

3/ CLV - Customer Lifetime Value
https://www.coursera.org/lecture/foundations-marketing-analytics/computing-customer-lifetime-value-in-r-recital-3-CFVVr 

https://stats.stackexchange.com/questions/20463/rfm-customer-lifetime-value-modeling-in-r

https://josepcurtodiaz.gitbooks.io/customer-analytics-with-r/content/chapter3.html 

https://rpubs.com/hoakevinquach/Customer-Lifetime-Value-CLV

Estimating individual Customer Lifetime Values with R: The CLVTools Package -- https://www.youtube.com/watch?v=KJCYjjWNgLM 

Customer Lifetime Value (CLV) on R --- https://www.youtube.com/watch?v=8YEgdi4QxkY

https://medium.com/ordergroove-engineering/every-customer-counts-52aa70e4f85

https://www.r-bloggers.com/calculating-customer-lifetime-value-with-recency-frequency-and-monetary-rfm/