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Three examples of predictive analytics

Predictive analytics leverages a variety of techniques that use current and historical data to make predictions about the future. Predictive analytics has tremendous value for customer experience management by confidently detecting unknown or future issues to mitigate risks and take full advantage of growth potential.

Below are three examples of how predictive analytics can be used:

  • Predicting customers who are not likely to renew enables the organization to take preemptive actions to increase renewal potential and drive top-line growth.
  • Predicting customers who are likely to purchase new products creates efficient targeting and faster market penetration of emerging technologies.
  • Intervening with customers who are likely to be dissatisfied with their support case mitigates the negative impact on overall loyalty to the company.

About the Author

Walker Weekly

Walker is a consulting firm specializing in customer experience. Helping businesses for more than 75 years, Walker’s diverse team of consultants provides tailored, comprehensive solutions to help companies achieve their business objectives and grow shareholder value. Walker specializes in customer retention and growth, using predictive analytics and other innovative approaches. Walker works with some of the world’s most influential businesses as well as emerging organizations of all sizes. For more information, please visit www.walkerinfo.com.

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