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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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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Informazioni sugli autori
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.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Fighting Churn with Data Format: Paperback
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ISBN 10: 161729652X
ISBN 13: 9781617296529
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Fighting Churn with Data
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Paperback. Condizione: New. 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. Codice articolo LU-9781617296529
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Paperback. Condizione: new. Paperback. 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. Dont let your hard-won customers vanish from subscription services, taking their money with them. In Fighting Churn with Data youll 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781617296529
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Fighting Churn with Data: The Science and Strategy of Customer Retention
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