Do Repeat Customers Effectively Attract New Customers? Reconsidering Customer Influence Value of Repeat Customers

Abstract

In the hospitality industry, repeat customers are recognized for their significant contributions, not just because they visit a business again but also because they generate strong word-of-mouth impacts on potential customers’ decisions. However, the quality of repeat customers’ word-of-mouth should be reconsidered for its pivotal role in influencing new customers. This research examines the effectiveness of repeat customers’ word-of-mouth compared to first-time customers. Employing a multi-study, multi-method approach, the study examines whether the quality and usefulness of online reviews written by repeat customers is indeed superior to those of first-time customers, through text analysis (Study 1), an experiment (Study 2), and a regression analysis utilizing secondary data (Study 3). Contrary to common belief, the results of the three studies reveal that repeat customers’ reviews do not surpass those of first-time customers in terms of quality, usefulness, or attracting new customers, highlighting the importance of considering quality when assessing customers’ indirect contributions.

Keywords

repeat customers customer influence value customer loyalty online reviews multi-study approach

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References

Alba

J. W.

Hutchinson

J. W.

(1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411–454. https://doi.org/10.1086/209080

Alegre

Juaneda

(2006). Destination loyalty: Consumers’ economic behavior. Annals of Tourism Research, 33(3), 684–706. https://doi.org/10.1016/j.annals.2006.03.014

Bettman

J. R.

(1970). Information processing models of consumer behavior. Journal of Marketing Research, 7(3), 370–376. https://doi.org/10.1177/002224377000700314

Bettman

J. R.

(1986). Consumer psychology. Annual Review of Psychology, 37(1), 257–289. https://doi.org/10.1146/annurev.ps.37.020186.001353

Blau

P. M.

(1964). Exchange and power in social life. John Wiley and Sons. https://doi.org/10.4324/9780203792643

Chakraborty

Kim

Sudhir

(2022). Attribute sentiment scoring with online text reviews: Accounting for language structure and missing attributes. Journal of Marketing Research, 59(3), 600–622. https://doi.org/10.1177/00222437211052500

Chong

A. Y. L.

Khong

K. W.

McCabe

Wang

(2018). Analyzing key influences of tourists’ acceptance of online reviews in travel decisions. Internet Research, 28(3), 564–586. https://doi.org/10.1108/IntR-05-2017-0212

Dale

(2018). Text analytics APIs, part 2: The smaller players. Natural Language Engineering, 24(5), 797–803. https://doi.org/10.1017/S135132491800027X

Dissanayake

Malkanthie

(2018). The impact of content characteristics of online reviews on travellers’ hotel booking intention. Journal of Management and Tourism Research, 1(1), 41–56. http://dr.lib.sjp.ac.lk/handle/123456789/8548

10.

El-Said

O. A.

(2020). Impact of online reviews on hotel booking intention: The moderating role of brand image, star category, and price. Tourism Management Perspectives, 33, 100604. https://doi.org/10.1016/j.tmp.2019.100604

11.

Fam

K. S.

Liat Cheng

Cham

T. H.

Tan Chia Yi

Ting

(2023). The role of cultural differences in customer retention: Evidence from the high-contact service industry. Journal of Hospitality & Tourism Research, 47(1), 257–288. https://doi.org/10.1177/10963480211014944

12.

Gouldner

A. W.

(1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178. https://doi.org/10.2307/2092623

13.

Gremler

D. D.

Brown

S. W.

(1999). The loyalty ripple effect: Appreciating the full value of customers. International Journal of Service Industry Management, 10(3), 271–293. https://doi.org/10.1108/09564239910276872

14.

Han

(2021). The influences of COVID-19 on Korean fashion consumption. Asian Social Science, 17(3), 1–49. https://doi.org/10.5539/ASS.V17N3P49

15.

Hong

(2020). Influencing factors of the persuasiveness of online reviews considering persuasion methods. Electronic Commerce Research and Applications, 39, 100912. https://doi.org/10.1016/j.elerap.2019.100912

16.

Hsu

L. C.

(2022). Effect of eWOM review on beauty enterprise: A new interpretation of the attitude contagion theory and information adoption model. Journal of Enterprise Information Management, 35(2), 376–413. https://doi.org/10.1108/JEIM-07-2020-0261

17.

Huang

Liu

S. Q.

(2023). When and why language assertiveness affects online review persuasion. Journal of Hospitality & Tourism Research, 47(6), 988–1016. https://doi.org/10.1177/10963480221074280

18.

Huang

Liu

M. T.

Song

Yen

(2023). A method of customer valuation score and implementation for marketing strategy. Asia Pacific Journal of Marketing and Logistics, 35(2), 344–363. https://doi.org/10.1108/APJML-05-2021-0299

19.

Huarng

K. H.

T. H. K.

(2020). The impact of surge pricing on customer retention. Journal of Business Research, 120, 175–180. https://doi.org/10.1016/j.jbusres.2020.07.043

20.

Huiyue

Peihan

Haiwen

(2022). Consistent comments and vivid comments in hotels’ online information adoption: Which matters more? International Journal of Hospitality Management, 107, 103329. https://doi.org/10.1016/j.ijhm.2022.103329

21.

Huppertz

J. W.

Arenson

S. J.

Evans

R. H.

(1978). An application of equity theory to buyer-seller exchange situations. Journal of Marketing Research, 15(2), 250–260. https://doi.org/10.1177/002224377801500208

22.

Ismagilova

Rana

N. P.

Slade

E. L.

Dwivedi

Y. K.

(2020). A meta-analysis of the factors affecting eWOM providing behaviour. European Journal of Marketing, 55(4), 1067–1102. https://doi.org/10.1108/EJM-07-2018-0472

23.

Johnson

E. J.

Russo

J. E.

(1984). Product familiarity and learning new information. Journal of Consumer Research, 11(1), 542–550. https://doi.org/10.1086/208990

24.

Kim

H. W.

Gupta

(2009). A comparison of purchase decision calculus between potential and repeat customers of an online store. Decision Support Systems, 47(4), 477–487. https://doi.org/10.1016/j.dss.2009.04.014

25.

W. L.

Song

T. H.

(2024). Nonlinear reward gradient behavior in customer reward and loyalty programs: Evidence from the Restaurant Industry. Journal of Hospitality & Tourism Research. 10963480231226083. https://doi.org/10.1177/10963480231226083

26.

Kumar

(2018). A theory of customer valuation: Concepts, metrics, strategy, and implementation. Journal of Marketing, 82(1), 1–19. https://doi.org/10.1509/jm.17.0208

27.

Kumar

Reinartz

(2016). Creating enduring customer value. Journal of Marketing, 80(6), 36–68. https://doi.org/10.1509/jm.15.0414

28.

Kumari

Sangeetha

(2022). How does electronic word of mouth impact green hotel booking intention? Services Marketing Quarterly, 43(2), 146–165. https://doi.org/10.1080/15332969.2021.1987609

29.

Lee

E. J.

Shin

S. Y.

(2014). When do consumers buy online product reviews? Effects of review quality, product type, and reviewer’s photo. Computers in Human Behavior, 31, 356–366. https://doi.org/10.1016/j.chb.2013.10.050

30.

Lee

Zhao

(2020). Deriving topic-related and interaction features to predict top attractive reviews for a specific business entity. Journal of Business Analytics, 3(1), 17–31. https://doi.org/10.1080/2573234X.2020.1768808

31.

Ngai

E. W.

(2021). Does certainty tone matter? Effects of review certainty, reviewer characteristics, and organizational niche width on review usefulness. Information & Management, 58(8), 103549. https://doi.org/10.1016/j.im.2021.103549

32.

S. D.

(2023). What makes social media branding more effective in shaping pre-visit image: Information quality or source credibility? Tourism Management Perspectives, 46, 101084. https://doi.org/10.1016/j.tmp.2023.101084

33.

Liu

Kim

W. G.

(2017). The role of travel experience in the structural relationships among tourists’ perceived image, satisfaction, and behavioral intentions. Tourism and Hospitality Research, 17(2), 135–146. https://doi.org/10.1177/1467358415610371

34.

Lopes

A. I.

Dens

De Pelsmacker

De Keyzer

(2020). Which cues influence the perceived usefulness and credibility of an online review? A conjoint analysis. Online Information Review, 45(1), 1–20. https://doi.org/10.1108/OIR-09-2019-0287

35.

Mariani

M. M.

Borghi

(2020). Online review helpfulness and firms’ financial performance: An empirical study in a service industry. International Journal of Electronic Commerce, 24(4), 421–449. https://doi.org/10.1080/10864415.2020.1806464

36.

Marinova

(2024, February 13). Word of mouth marketing statistics, fun facts and tips in 2022. Review 42. https://review42.com/resources/word-of-mouth-marketing-statistics/

37.

Mishra

R. K.

Urolagin

(2019). A sentiment analysis-based hotel recommendation using TF-IDF approach. In Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy (pp. 811–815). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCIKE47802.2019.9004385

38.

Muralidharan

Yoon

H. J.

Sung

Miller

Lee

(2017). Following the breadcrumbs: An analysis of online product review characteristics by online shoppers. Journal of Marketing Communications, 23(2), 113–134. https://doi.org/10.1080/13527266.2014.949824

39.

Nerhagen

(2003). Travel mode choice: Effects of previous experience on choice behaviour and valuation. Tourism Economics, 9(1), 5–30. https://doi.org/10.5367/000000003101298240

40.

Pereira

H. G.

Cardoso

Dionísio

(2017). The determinants of website purchases: The role of e-customer loyalty and word-of-mouth. International Journal of Electronic Marketing and Retailing, 8(2), 136–156. https://doi.org/10.1504/IJEMR.2017.085705

41.

Petersen

J. A.

Paulich

B. J.

Khodakarami

Spyropoulou

Kumar

(2022). Customer-based execution strategy in a global digital economy. International Journal of Research in Marketing, 39(2), 566–582. https://doi.org/10.1016/j.ijresmar.2021.09.010

42.

Petrick

J. F.

(2004). Are loyal visitors desired visitors? Tourism Management, 25(4), 463–470. https://doi.org/10.1016/S0261-5177(03)00116-X

43.

Qin

Zheng

Wang

(2022). Comprehensive helpfulness of online reviews: A dynamic strategy for ranking reviews by intrinsic and extrinsic helpfulness. Decision Support Systems, 163, 13859. https://doi.org/10.1016/j.dss.2022.113859

44.

Reibstein

D. J.

(2002). What attracts customers to online stores, and what keeps them coming back?. Journal of the Academy of Marketing Science, 30, 465–473. https://doi.org/10.1177/009207002236918

45.

Reich

Maglio

S. J.

(2020). Featuring mistakes: The persuasive impact of purchase mistakes in online reviews. Journal of Marketing, 84(1), 52–65. https://doi.org/10.1177/0022242919882428

46.

Reichheld

F. F.

Teal

(2001). The loyalty effect: The hidden force behind growth, profits, and lasting value. Harvard Business School Press. https://doi.org/10.5860/choice.33-6391

47.

Repustate. (n.d.). Aspect based sentiment analysis driven by machine learning and AI. https://www.repustate.com/aspect-based-sentiment-analysis/

48.

Shannon

C. E.

(2001). A mathematical theory of communication. Mobile Computing and Communications Review, 5(1), 3–55. https://doi.org/10.1145/584091.584093

49.

Sharipudin

M. N. S.

Cheung

M. L.

De Oliveira

M. J.

Solyom

(2023). The role of post-stay evaluation on eWOM and hotel revisit intention among Gen Y. Journal of Hospitality & Tourism Research, 47(1), 57–83. https://doi.org/10.1177/10963480211019847

50.

Sheng

Amankwah-Amoah

Wang

Khan

(2019). Managerial responses to online reviews: A text analytics approach. British Journal of Management, 30(2), 315–327. https://doi.org/10.1111/1467-8551.12329

51.

Shin

H. W.

Fan

(2024). Trust the facts: The impact of reviews’ written style and subject-focus on peer-to-peer accommodation consumption. Journal of Hospitality & Tourism Research, 48(2), 249–276. https://doi.org/10.1177/10963480221100244

52.

Siddiqui

M. H.

Sharma

T. G.

(2022). Investigating smartphone brand loyalty for Millennials and Gen Z: A customer value perspective. International Journal of Technology and Human Interaction, 18(1), 1–19. https://doi.org/10.4018/IJTHI.302664

53.

Son

Negahban

Lee

Connolly

Chiang

(2020). When more is more and less is more: Depth and breadth of product reviews and their effects on review helpfulness. In T. X. Bui (Ed.), Proceedings of the 53rd Hawaii International Conference on System Sciences (pp. 4144–4153). Association for Information Systems. https://doi.org/10.24251/HICSS.2020.507

54.

Song

Kim

H. Y.

(2022). Is social media marketing worth it for luxury brands? The dual impact of brand page satisfaction and brand love on word-of-mouth and attitudinal loyalty intentions. Journal of Product & Brand Management, 31(7), 1033–1046. https://doi.org/10.1108/JPBM-06-2020-2936

55.

Sönmez

S. F.

Graefe

A. R.

(1998). Determining future travel behavior from past travel experience and perceptions of risk and safety. Journal of Travel Research, 37(2), 171–177. https://doi.org/10.1177/004728759803700209

56.

Teichmann

(2021). Loyal customers’ tipping points of spending for services: A reciprocity perspective. European Journal of Marketing, 55(13), 202–229. https://doi.org/10.1108/EJM-10-2019-0781

57.

Thomas

M. J.

Wirtz

B. W.

Weyerer

J. C.

(2019). Influencing factors of online reviews: An empirical analysis of determinants of purchase intention. International Journal of Electronic Business, 15(1), 43–71. https://doi.org/10.1504/IJEB.2019.099062

58.

Umashankar

Bhagwat

Kumar

(2017). Do loyal customers really pay more for services? Journal of the Academy of Marketing Science, 45(6), 807–826. https://doi.org/10.1007/s11747-016-0491-8

59.

Wang

Luo

X. R.

Peng

(2022). Effect of sponsorship disclosure on online consumer responses to positive reviews: The moderating role of emotional intensity and tie strength. Decision Support Systems, 156, Article 113741. https://doi.org/10.1016/j.dss.2022.113741

60.

Jin

(2021). Expertise makes perfect: How the variance of a reviewer’s historical ratings influences the persuasiveness of online reviews. Journal of Retailing, 97(2), 238–250. https://doi.org/10.1016/j.jretai.2020.05.006

61.

(2023). Rating deviation and manipulated reviews on the Internet—A multi-method study. Information & Management, 60(6), 103829. https://doi.org/10.1016/j.im.2023.103829

62.

Zeng

Cao

Lin

Xiao

S. H.

(2020). When online reviews meet virtual reality: Effects on consumer hotel booking. Annals of Tourism Research, 81, 102860. https://doi.org/10.1016/j.annals.2020.102860

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