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  Customer Loyalty

:: Model|Customer Loyalty Modeling ::
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Statistical Reasoning incorporates the role of brand
     commitment, trust, & affect in customer loyalty measurement.

Customer satisfaction refers to an individual’s subjectively derived favourable evaluation of any outcome and/or experience associated with consuming a product. In specific, satisfaction is the outcome of a post-purchase evaluation, and comparison with priori expectations, of rewards and costs.

Mathematically, customer satisfaction equates the net value, or satisfaction with the product, S(t) at time t to the difference between the cumulative realized value V(t) at time t and the purchase price P of the product (hence, S(t) = V(t) – P).

The highest level of satisfying customer expectations is reached then when the customer gets more from a product than originally expected.

Satisfaction, however, is but one component in determining long-term customer retention.  The construct of customer loyalty is comprised of behaviour-based metrics, such as "likelihood to recommend a product or service to others" and/or "likelihood to repurchase the product or service," and attitude-based metrics such as "overall satisfaction."

Statistical Reasoning takes it one step further by incorporating the role of evaluating brand commitment, trust, and affect for a truly holistic and inclusive approach to customer loyalty measurement.

@ :: SR WHITEPAPER ::

Evaluating Customer Loyalty Metrics - Three Part Series

The loss of customer loyalty is alerting and sensitizing managers to its importance. Consequently, customer satisfaction measurement has been supplanted by the concept of customer loyalty, and so-called Customer Loyalty Indices [CLI] have emerged out of a need to better understand customer retention.

In specific, most CLIs are made up of behaviour-based metrics, such as "likelihood to recommend a product or service to others" and "likelihood to repurchase the product or service," and attitude-based metrics such as "overall satisfaction." The evaluation of such CLIs formed the basis for this three-part discussion.

Please contact SR should you wish to receive more information when this article becomes publicly available.


   
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