/home/leansigm/public_html/components/com_easyblog/services Preventing Silent Customer Attrition rate using Predictive Analytics
By Nitin Sinha on Wednesday, 24 February 2016
Category: Analytics

Preventing Silent Customer Attrition rate using Predictive Analytics

Silent customers create major risks to companies. They don't express their dissatisfaction. Companies can avoid these issues through the proper use of technology with predictive analytics.  Predictive analytics can stop the silent customer attrition by identifying four ways to retain customers:

1. Recognize customers who make a detailed analysis before they determine.

2. Determine the most effective actions to reduce the attrition

3. Distinguish between the best time, message, and channel to reach the customer.

4. Identify the full path to retention rather than one single action.

Companies that adopt predictive analytics to identify who is likely to leave and determine the best plan of action to stop attrition.

For more read :

http://www.information-management.com/news/big-data-analytics/using-predictive-analytics-to-stop-silent-customer-churn-10028295-1.html

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