Churn is the bane of any subscription business, such as content subscriptions, software as a service, and even ad-supported freemium apps. You can improve customer retention through product changes and targeted engagement campaigns based on data-driven interventions.

This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to non-technical decision makers.

Don't let your hard-won customers vanish from subscription services, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether.

- Identifying processes suited to machine learning

- Using machine learning to automate back office processes

- Seven everyday business process projects

- Using open source and cloud-based tools

- Case studies for machine learning decision making

For readers with basic data analysis skills, including Python and SQL.

� propos de l?auteur:

Carl Gold is the Chief Data Scientist at Zuora, Inc, a comprehensive subscription management platform and newly public Silicon Valley "unicorn". Zuora is widely recognized in a leader in all things pertaining to subscription and recurring revenue, with 1,000 customers across a range of industries worldwide. Carl joined Zuora in 2015 and created the predictive analytics system for Zuora's subscriber analysis product, Zuora Insights.

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