Using predictive analytics to reduce churn
madkudu.com
Using predictive analytics to reduce churn
1–6 of 6 posts
Re: Using predictive analytics to reduce churn
#2I'm the author of this post - please let me know if you have any questions.
Re: Using predictive analytics to reduce churn
#3I'm the author of this post - please let me know if you have any questions.
Title is misleading. The article only describes univariate analysis (screening of independent variables).
One can build a model to predict churn from those independent variables (e.g., by just adding them up), but then there's out-of-time and out-of-sample validation, monitoring, and other boring, but important things.
Re: Using predictive analytics to reduce churn
#4I'm the author of this post - please let me know if you have any questions.
Title is misleading. The article only describes univariate analysis (screening of independent variables). One can build a model to predict churn from those independent variables (e.g., by just adding them up), but then there's out-of-time and out-of-sample validation, monitoring, and other boring, but important things.
Do you have any reading on that?
Re: Using predictive analytics to reduce churn
#5Earlier quoted context omitted.
Title is misleading. The article only describes univariate analysis (screening of independent variables). One can build a model to predict churn from those independent variables (e.g., by just adding them up), but then there's out-of-time and out-of-sample validation, monitoring, and other boring, but important things.
Do you have any reading on that?
Online material on this subject is scattered, but there are good books like Regression Modeling Strategies by Frank E. Harrell and Credit Risk Scorecards by Naeem Siddiqi.
Re: Using predictive analytics to reduce churn
#6I'm the author of this post - please let me know if you have any questions.
Title is misleading. The article only describes univariate analysis (screening of independent variables). One can build a model to predict churn from those independent variables (e.g., by just adding them up), but then there's out-of-time and out-of-sample validation, monitoring, and other boring, but important things.
Agree 100%.
And we like the "boring" things. But I don't see why doing univariate analysis doesn't deliver on the promise of the post. Contrasted with guessing, that is.