Discover which of your customers are likely to churn with historic data and predictive analytics
To sustain your business, you need customers to purchase your products and services. Understanding when a customer is at risk to cease his or her relationship with your company could be crucial in account management and financial planning.
Churn rate, when applied to a customer base, refers to the proportion of contractual customers or subscribers who leave a supplier during a given time period. It is a possible indicator of customer dissatisfaction, cheaper and/or better offers from the competition, more successful sales and/or marketing by the competition, or reasons having to do with the customer life cycle.
With BlueGranite's solution offering, we can help you predict which customers are likely to churn given historical information from previous customers. This will give you a more targeted approach at customer retention and relationship management.
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HIGH RETENTION RATES |
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SELLING WITH EASE |
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INCREASED SALES OVER TIME |
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FREE VALUED ADVERTISING |
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COMPOUND INVESTMENT |
Increasing customer retention by 5% can increase profits by 25%-95%! [1]
1Harvard Business Review - https://hbr.org/2014/10/the-value-of-keeping-the-right-customers | 2"Leading on the Edge of Chaos" by Emmett C Murphy | 3”Marketing Metrics” by Paul Farris, Neil Bendle, Phillip Pfeifer, and David Reibstein | 4Bain & Company - http://www.bain.com/publications/articles/the-value-of-online-customer-loyalty-and-how-you-can-capture-it.aspx
Uses traits such as buying behavior, frequency, and variability to generate actions based on algorithmic decision making.
Includes data exploration, machine learning model building, results delivery, and full-scale implementation recommendations
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