11 Leading the fight against churn

 

This chapter covers

  • Planning to go from data to data-driven churn reduction
  • Loading your own data and running the book code on it
  • Migrating the book listings to work in your own production environment

I want to start this last chapter by thanking you for sticking with me and making it to this point. I hope that what you learned in the preceding chapters was interesting and that you feel like you learned a lot that you will be able to apply. In this short final chapter, I am going to try to give you some advice to help you put what you learned into practice.

In section 11.1, I tie together the strategic churn-fighting advice that was distributed throughout the book and give you a checklist of steps to take to pursue the various strategies.

Then I’ll go over the practical steps you need to take to use the techniques from the book on your own data. You can take two paths, which are the subjects of the next two sections:

  • Section 11.2 goes over the steps to take if you want to load your own data into the PostgresSQL schema used in the book and then run the book listings on your own data.
  • Section 11.3 describes the alternative, which is to take the book’s listings (SQL, Python, or both) and port them to your own production environment.

11.1 Planning your own fight against churn

11.1.1 Data processing and analysis checklist

11.1.2 Communication to the business checklist

11.2 Running the book listings on your own data

11.2.1 Loading your data into this book’s data schema

11.2.2 Running the listings on your own data

11.3 Porting this book’s listings to different environments

11.3.1 Porting the SQL listings

11.3.2 Porting the Python listings

11.4 Learning more and keeping in touch

11.4.1 Author’s blog site and social media

11.4.2 Sources for churn benchmark information

11.4.3 Other sources of information about churn