Improving the Predictive Validity of NPS in Customer Satisfaction Surveys

  • Gang Huang
  • Huai-lin Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8528)


Though widely used, NPS has been challenged for its doubtful validity in predicting loyalty behaviors and business growth. Its arbitrary assignment of promoters/passives/detractors is one of the factors impacting its predictability. This paper addressed the validity issue by taking into account the scenarios NPS is used: (1) NPS for an organization in developing stage with more of new customers vs. a well established business with more of regular customers; (2) NPS in online survey vs. offline survey. By using the data of an online NPS survey for an online supermarket and tracking the purchase behaviors of all respondents before and after the survey, the authors found that NPS works better for new customers than regular ones in predicting repeat purchase behaviors and changes of purchase volume and value. In addition, in online surveys, a polarized segmentation of promoters/passives/detractors could effectively improve the predictive validity of NPS for new customers.


NPS Customer Satisfaction Predictive Validity 


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  1. 1.
  2. 2.
    Keiningham, T.L., Cooil, B., Andreassen, T.W., Aksoy, L.: A Longitudinal Examination of Net Promoter and Firm Revenue Growth. Journal of Marketing 71(3), 39–51 (2007)CrossRefGoogle Scholar
  3. 3.
    Keiningham, T.L., Cooil, B., Aksoy, L., Andreassen, T.W., Weiner, J.: The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Customer Retention, Recommendation, and Share-of-wallet. Managing Service Quality 17(4), 361–384 (2007)CrossRefGoogle Scholar
  4. 4.
    Owyang, J.: Enhancing Net Promoter Score (NPS) with Total Social Customer Value (TSCV). Web Strategy (June 20, 2010),
  5. 5.
    Reichheld, F.F.: The Ultimate Question: Driving Good Profits and True Growth. Harvard Business School Press, Boston (2006)Google Scholar
  6. 6.
    Schneider, D., Berent, M., Thomas, R., Krosnick, J.: Measuring Customer Satisfaction and Loyalty: Improving the “Net-Promoter” Score. Paper Presented at the Annual Conference of the World Association for Public Opinion Research (WAPOR), Berlin, Germany (2007)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Gang Huang
    • 1
  • Huai-lin Wang
    • 1
  1. 1.Alibaba GroupUser Experience ResearcherHangzhouChina

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