Net promoter score and future consumer behavior in the casino gaming industry

Abstract

The Net Promoter Score (NPS) is a widely used measure of customer loyalty. It was touted as “the one number you need to grow” due to a purported relationship between the NPS and firm growth. A number of academic papers have examined this macro relationship with decidedly mixed results. In this study, we focus on the micro relationship between a customer’s loyalty segment (Promoter, Passive, or Detractor) and purchasing behavior. While other studies focus on the relationship between a customer’s NPS segment and word of mouth (the other driver of firm growth), only a few have examined the impact of the NPS segment on consumer retention and future spending. Unlike prior studies using consumers, we have objective measures of retention, past spending, and future spending. We explore three important research questions: (1) Does past purchase behavior vary differ across the NPS segments? (2) Does future consumer behavior vary across the NPS segments? And (3) How do the NPS segments compare to other metrics in predicting future consumer behavior? Our data comes from post-visit surveys and transaction histories from the casino gaming industry. We find Promoters have significantly higher levels of past spending, retention, and future spending (controlling for past spending) than Detractors. However, using other metrics such as satisfaction or likelihood-to-revisit provides comparable fit to the data. Furthermore, the average difference in future spending between the Promoters and Defectors is small, despite its statistical significance. While this study provides empirical validation of the use of the NPS segments to capture differences in consumer behavior, managers have options with comparable explanatory power to measure the state of their relationships with customers. This study adds to the very limited empirical research that validates the assumptions about consumer behavior that underlie the use of the NPS for predicting firm growth.

Keywords

net promoter score retention satisfaction spending casino gaming validity

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References

Baehre

O’Dwyer

O’Malley

Lee

(2022a). The use of net promoter score (NPS) to predict sales growth: Insights from an empirical investigation. Journal of the Academy of Marketing Science, 50(1), 67–84. https://doi.org/10.1007/s11747-021-00790-2.

Baehre

O’Dwyer

O’Malley

Story

V. M.

(2022b). Customer mindset metrics: A systematic evaluation of the net promoter score (NPS) vs. alternative calculation methods. Journal of Business Research, 149(), 353–362. https://doi.org/10.1016/j.jbusres.2022.04.048.

Batislam

E. P.

Denizel

Filiztekin

(2007). Empirical validation and comparison of models for customer base analysis. International Journal of Research in Marketing, 24(3), 201–209. https://doi.org/10.1016/j.ijresmar.2006.12.005

Chen

Tsai

McCain

S. L. C.

(2012). A revenue management model for casino table games. Cornell Hospitality Quarterly, 53(2), 144–153. https://doi.org/10.1177/1938965511434323

De Haan

Verhoef

P. C.

Wiesel

(2015). The predictive ability of different customer feedback metrics for retention. International Journal of Research in Marketing, 32(2), 195–206. https://doi.org/10.1016/j.ijresmar.2015.02.004

Dixon

Freeman

Toman

(2010). Stop trying to delight your customers. Harvard Business Review, 88(7/8), 116–122.

East

Romaniuk

Lomax

(2011). The NPS and the ACSI: A critique and an alternative metric. International Journal of Market Research, 53(3), 327–346. https://doi.org/10.2501/ijmr-53-3-327-346

Gupta

Zeithaml

(2006). Customer metrics and their impact on financial performance. Marketing Science, 25(6), 718–739. https://doi.org/10.1287/mksc.1060.0221

Kaplan

(2016). The inventor of customer satisfaction surveys is sick of them, too. Bloomberg News, May 5. https://www.bloomberg.com/news/articles/2016-05-04/tasty-taco-helpful-hygienist-are-all-those-surveys-of-any-use

10.

Keiningham

T. L.

Aksoy

Cooil

Andreassen

T. W.

Williams

(2008). A holistic examination of Net Promoter. The Journal of Database Marketing & Customer Strategy Management, 15(2), 79–90. https://doi.org/10.1057/dbm.2008.4

11.

Keiningham

T. L.

Cooil

Andreassen

T. W.

Aksoy

(2007). A longitudinal examination of net promoter and firm revenue growth. Journal of Marketing, 71(3), 39–51. https://doi.org/10.1509/jmkg.71.3.39

12.

Leisen Pollack

Alexandrov

(2013). Nomological validity of the net promoter index question. Journal of Services Marketing, 27(2), 118–129. https://doi.org/10.1108/08876041311309243

13.

Mecredy

Wright

M. J.

Feetham

(2018). Are promoters valuable customers? An application of the net promoter scale to predict future customer spend. Australasian Marketing Journal, 26(1), 3–9. https://doi.org/10.1016/j.ausmj.2017.12.001

14.

Morgan

N. A.

Rego

L. L.

(2006). The value of different customer satisfaction and loyalty metrics in predicting business performance. Marketing Science, 25(5), 426–439. https://doi.org/10.1287/mksc.1050.0180

15.

Nielsen . (2010). Friending the social consumer. The Nielsen Company. Available at.http://blog.nielsen.com/nielsenwire/online_mobile/friending-the-social-consumer

16.

Raassens

Haans

(2017). NPS and online WOM: Investigating the relationship between customers’ promoter scores and eWOM behavior. Journal of Service Research, 20(3), 322–334. https://doi.org/10.1177/1094670517696965

17.

Reichheld

(1996). The loyalty effect: The hidden force behind growth, profits, and lasting value. Harvard Business School Press.

18.

Reichheld

(2003). The one number you need to grow. Harvard Business Review, 81(12), 46–55.

19.

Reichheld

(2006). The ultimate question: Driving good profits and true growth. Harvard Business Review Press.

20.

Reichheld

(2011). The ultimate question 2.0 (revised and expanded edition): How net promoter companies thrive in a customer-driven world. Harvard Business Review Press.

21.

Romaniuk

Nguyen

East

(2011). The accuracy of self-reported probabilities of giving recommendations. International Journal of Market Research, 53(4), 507–521. https://doi.org/10.2501/ijmr-53-4-507-521

22.

Ruddock

(2020). Commercial and tribal casinos produced $78.2 billion in 2019. BettingUSA.com.https://www.bettingusa.com/us-casino-industry-2019-revenue/

23.

Van Doorn

Leeflang

P. S.

Tijs

(2013). Satisfaction as a predictor of future performance: A replication. International Journal of Research in Marketing, 30(3), 314–318. https://doi.org/10.1016/j.ijresmar.2013.10.003