Fighting Churn with Data

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Bol 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.

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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.

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Pagina's: 350, Paperback, MANNING PUBN


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Merk Manning
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  • 9781617296529
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