TRC and Yale Blog

TRC is proud to be an official Knowledge Partner of the Yale Center for Customer Insights (YCCI).

TRC's Chief Research Officer, Rajan Sambandam, will contribute to the Yale CCI Blog, consult on academic-practitioner issues and generally help spread the word about the good work being done by YCCI Fellows.

Check out Rajan's latest contribution - Hey, I bought Jon Voight's Car!

Customer Satisfaction & Loyalty

Understand customer perceptions, and link investments in customer satisfaction research to financial outcomes

For over 20 years TRC has helped clients satisfy their customers, keep them loyal, and get them to pass along news of their positive experiences to others. We have the experience, the methodological muscle, the academic connections, and the analytic tools to help you too.

  • Use Satiscan™ and identify truly actionable key drivers of satisfaction and loyalty.

  • Conduct asymmetry analysis and work upon key drivers properly - sorting them into satisfiers that merit maximum improvement and dissatisfiers where simply avoiding poor performance is all that's required.

  • Consider us your partner for phone-, web-, and even IVR-based customer satisfaction and loyalty tracking efforts, and rely on us as an experienced and creative advisor if you're considering a switch from one method to another.

  • Take advantage of our customized online reporting to monitor results, get the word out to key stakeholders quickly, and increase understanding and adoption of key recommendations.

  • Or go further, to clearly demonstrate the research ROI. Let us help you link database information and existing satisfaction and loyalty survey data to business outcomes. By establishing these connections you'll help senior management make better resource allocation decisions, and be in position to illustrate more tangibly the return-on-research dollars spent.

 
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TRC's White Paper Library offers, among others, various choice-related articles.

Featured Choice-Related White Papers:

Product Configurator

How to Improve Your Segmentation with Max-Diff

Conjoint Analysis vs. Self-explicated

Understanding Choice in Banking: Use of Discrete Choice Analysis

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