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      Fighting Churn with Data

      3 in stock

      Firm sale: non returnable item
      SKU 9781617296529 Categories ,
      Select Guide Rating

      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 ...

      £47.99

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      Description

      Product ID:9781617296529
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Fighting Churn with Data
      Authors:Author: Carl Gold
      Page Count:375
      Subjects:Algorithms and data structures, Algorithms & data structures
      Description:Select Guide Rating

      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.


      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.


      Imprint Name:Manning Publications
      Publisher Name:Manning Publications
      Country of Publication:GB
      Publishing Date:2021-02-08

      Additional information

      Weight936 g
      Dimensions187 × 235 × 34 mm