Excerpted from Ad Age, “Are Your Customers About to Defect?” By Chris Dickey, March 16, 2009
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In today’s tough economic environment, the most precious asset an organization has is its current customer base. And maximizing returns on that asset begins with a solid retention strategy … it is possible to curb customer defection before it’s too late. Here are three ways to maximize customer value by decreasing defection.
1. Determine the warning signs. This begins by developing a predictive model to identify the behavioral changes that are precursors to defection. The variables that predict defection, churn and other negative behaviors are often, but not always, intuitive: usage (recency and frequency), average ticket, satisfaction, visits, engagement. A model can identify the most significant variables … so the marketer knows which to monitor …
For example, the model may indicate that usage is the most meaningful variable in predicting defection, and that a 20% change in a given time period exceeds the threshold of concern and is, indeed, a warning sign to be concerned about …
2. Track and monitor changes to warning signs. Once marketers know which customer behaviors to focus on and what levels of change should be cause for concern, they can isolate and track behavior changes over time. They can then monitor those changes in real time by setting up automated tracking processes within a data warehouse.
Marketers can monitor behaviors with database-mining software and view them at a macro level using dashboards.
3. Develop a trigger-based engagement strategy to address behaviors in real or near real time. Marketers can actively intervene before a warning sign becomes a real defection. A trigger strategy must be developed over time, testing and optimizing to see which interventions can most quickly reverse negative behaviors. Interventions should be built around a highly relevant and dynamic message, an offer of relevant and significant value communicated in a channel that takes advantage of real-time data …
Trigger-based programs are generally easy to set up and automate, and they are highly measurable. They can be geared to a wide variety of customer behaviors, and business rules can be developed to change the message, offer or channel based on other factors beyond just the behavior … By understanding the key warning signs within your customer-behavior data and developing proactive trigger-based programs to intervene, you can more precisely hone your marketing effort to those communications that drive the highest incremental return on investment …
Examples of Warning Signs and Thresholds of Concern
A member routinely visits three times a week for six months. In the past two weeks, usage is down 30%.
A retail customer’s average ticket is in the top 20% range. Her average ticket drops 10% to 20% in a month.
A top customer rates you at five consistently. Overall satisfaction drops from five to four in two consecutive quarters.
A “best” customer visits your website weekly, with an average engagement time of 20 minutes. Average time spent on the site falls 30% in three weeks.
Edit by SAC
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Full Article:
http://adage.com/cmostrategy/article?article_id=135269
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