Methodology
Phase I: Determining Subscriber Behavior
Phase I of Total Lifecycle Management consists of data mining, data analysis, and applying the AO Platform™ and Meta Analytics™ to determine subscriber loyalty and disloyalty and the causes of both. The result is the identification of the key variables contributing to a subscriber’s loyalty score computation. This information provides the foundation for creating a lifecycle program dedicated to real, measurable results.
Phase II: Virtual Focus Groups
In Phase II, we verify the results of Phase I and create personalized loyalty strategies through mediated Virtual Focus Groups that:
- Verify churn hypotheses and screen loyalty interventions.
- Measure the impact of ongoing loyalty strategies.
- Identify trigger points that indicate key touch points in the subscriber lifecycle.
- Gain insight into the spectrum of subscriber views, beliefs and attitudes.
- Identify whether there are unmet needs within the subscriber base.
- Identify potential barriers to use of products or services.
- Uncover the range of positive and negative subscriber experiences.
Deployment
A deployed Total Lifecycle Management Solution is built on the foundation of Phases I and II. Deployment consists of ongoing management and measurement of the customer lifecycle. |
