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A Few Facts About Predict Customer Retention

Keep an existing customer is likely far less costly than acquiring a new one so predictive analytics is used to make better decisions. When doing predictive analytics, mathematics algorithms coded in to software tools that find complex hidden patterns in data by using tools such as decision tree and regression classification.

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A Few Facts About Predict Customer Retention

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  1. A Few Facts About Predict Customer Retention

  2. Keep an existing customer is likely far less costly than acquiring a new one so predictive analytics is used to make better decisions. When doing predictive analytics, mathematics algorithms coded in to software tools that find complex hidden patterns in data by using tools such as decision tree and regression classification.

  3. A model is also used in predictive customer retentionto make different and better decisions by describing pattern found in data and way to determine the things of interest.

  4. It is created with data mining methods and tells us which new customers are likely to return and which are probably one timer.

  5. A forecast model is used to calculate how much profit a predictive retention campaign will generate by calculating total number of customers and how much retention campaign will cost per contact.

  6. It also tells us response rate of campaign which depends on design and execution of each customer contact.

  7. If you need more information please visit at http://www.cxgroup.co

  8. Contact Us Address : 5151 California Ave #100, Irvine, California, 92617 United States Phone : +1 (949) 438 3884 Website : http://www.cxgroup.co

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