Marketing: Churn/Retention Marketing

Reversing Customer Churn by Improving Retention Marketing

Lift ChartIn this study, customer data from a telecommunications provider was used to illustrate how the most important criteria were identified, then used in building models to predict churn, and finally to assess the models’ predictive success when compared to actual churned customers (lift chart to the left shows this comparison — highest curve is the best).

The objective of this study is to illustrate how a company can increase revenue by retaining more existing customers through identification and preemptive marketing programs rather than relying on the acquisition of new customers. In addition, a company can further grow sales by predicting which first-time customers won’t return unless they are offered an incentive to stay.

Request a Download

    First Name (required):

    Last Name (required):

    Title:

    Your Email (required):

     

    When you request this report, we will also update you with information on new whitepapers, research studies and more. If you no longer wish to receive our emails you can unsubscribe at any time by sending us an email message using the Contact Us page.

    By submitting your email address, you acknowledge that you have read the Privacy Policy and that you consent to our processing data in accordance with the statement.

    If you have any questions, please email us at creig@analyticsconsultinggroup.com