ISBN: 9781617296529 - fighting churn with data: the science and strategy of customer retention (6 Ergebnisse)

Paperback. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: 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.…

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Brand New. 350 pages. 9.00x7.25x1.00 inches. In Stock.

Paperback. Zustand: 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.…