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Limitations and future research

In document 9 2.1.2 Loyalty program designs (pagina 52-81)

6. Discussion, implications & limitations

6.4 Limitations and future research

Our research has some limitations that offer directions for future research. First, a strength of this study is that it covers a broad span of worldwide customers since we used MTurk to gather respondents. Nevertheless, we had to pull out a lot of participants (n = 66) because they did not answer the control question right. This leads to a final sample size that was smaller than the number of respondents indicated by GPower. Therefore, it would be useful to reproduce this research with more respondents.

Second, despite our pretest shows that the manipulations are successful on average, the main sample of the experiment (n = 317) consists of 185 participants who did not understand the personalization manipulation correctly, and 147 participants who did not understand the manipulation regarding communication channel correctly. Considering this, it is difficult to identify whether there is no effect of personalization, as indicated by the main sample, or whether there is an effect of personalization, as indicated by the sub-sample. Based on this, we suggest future research to repeat this study with the advice to make sure the manipulations are more clear, so the majority of the respondents actually understand them.

Third, although not defined in academic literature yet, some additional types of personalization can be distinguished. Besides individualization and segmentation, two other types of personalization are persona-based personalization and personalization based on the customer journey (Mialki, 2020; Onespot, n.d.). On the one hand, persona-based

personalization is one step further than segmentation, whereby brands build data-driven

personas based on factors like website activity and purchase history. On the other hand, customer-journey personalization is focused on the stage of the journey, whereby the content is directly related to the customers’ phase (Mialki, 2020; Onespot, n.d.). Since we distinguish between individualized and segmented personalization only, we suggest future research to expand existing knowledge about personalization by studying the effectiveness of additional types of personalization like persona-based and customer-journey based personalization.

Fourth, this study test different levels of personalization, which is a marketing term that Arora et al. (2008) explain as selecting the right marketing effort for the right customer.

Pine (1993) defines customization as “a method to meet the individual needs of customers by constructing products or services” (p. 782). Another definition of customization, by Hsu, Lu, and Ng (2014) is “the costly alteration of a product to tailor it to clients’ needs or tastes” (p.

10). Based on these definitions it seems that customization is more on product-level, whereas personalization seems more general. Nevertheless, existing literature indicates that the marketing terms are often used interchangeably (Sunikka & Bragge, 2012). To expand existing theoretical definitions and provide insights on the potential differences between personalization and customization, we suggest future research to study the impact of customization within a loyalty program setting.

Reference list

Aguirre, E., Roggeveen, A. L., Grewal, D., & Wetzels, M. (2016). The personalization-privacy paradox: implications for new media. Journal of Consumer Marketing.

Albert Heijn. (n.d.). Mijn bonus box. Retrieved on January 20th, 2021 from https://www.ah.nl/acties/bonusbox.

Ailawadi, K. L., Beauchamp, J. P., Donthu, N., Gauri, D. K., & Shankar, V. (2009).

Communication and promotion decisions in retailing: a review and directions for future research. Journal of retailing, 85(1), 42-55.

Ansari, A., & Mela, C. F. (2003). E-customization. Journal of marketing research, 40(2), 131-145.

Arora, N., Dreze, X., Ghose, A., Hess, J. D., Iyengar, R., Jing, B., ... & Zhang, Z. J. (2008).

Putting one-to-one marketing to work: Personalization, customization, and choice. Marketing Letters, 19(3), 305-321.

Bezjian-Avery, A., Calder, B., & Iacobucci, D. (1998). New media interactive advertising vs.

traditional advertising. Journal of advertising research, 38, 23-32.

Bijmolt, T. H., Dorotic, M., & Verhoef, P. C. (2010). Loyalty programs: generalizations on their adoption, effectiveness, and design. Foundations and Trends in Marketing, 5(4), 197-258.

Blanca, M. J., Alarcón, R., Arnau, J., Bono, R., & Bendayan, R. (2017). Non-normal data: Is ANOVA still a valid option?. Psicothema, 29(4), 552-557.

Bombaij, N. J. F., & Dekimpe, M. G. (2020). When do loyalty programs work? the

moderating role of design, retailer-strategy, and country characteristics. International Journal of Research in Marketing, 37(1), 175-195.

Bond. (2020). The Loyalty Report ’19. Retrieved on January 10th, 2021 from https://info.bondbrandloyalty.com/loyalty-report-2019.

Brashear-Alejandro, T., Kang, J., & Groza, M. D. (2016). Leveraging loyalty programs to build customer–company identification. Journal of Business Research, 69(3), 1190-1198.

Breugelmans, E., Bijmolt, T. H., Zhang, J., Basso, L. J., Dorotic, M., Kopalle, P., ... &

Wünderlich, N. V. (2015). Advancing research on loyalty programs: a future research agenda. Marketing Letters, 26(2), 127-139.

Buil, I., De Chernatony, L., & Martínez, E. (2013). Examining the role of advertising and sales promotions in brand equity creation. Journal of business research, 66(1), 115-122.

Chan, W. Y., To, C. K., & Chu, W. C. (2015). Materialistic consumers who seek unique products: how does their need for status and their affective response facilitate the repurchase intention of luxury goods?. Journal of Retailing and Consumer Services, 27, 1-10.

Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of marketing, 64(4), 65-81.

Chang, H. J., Wu, C. H., Ho, J. F., & Chen, P. Y. (2008). On sample size in using central limit theorem for gamma distribution. Information and Management Sciences, 19(1), 153-174.

Chellappa, R. K., & Sin, R. G. (2005). Personalization versus privacy: An empirical examination of the online consumer’s dilemma. Information technology and management, 6(2), 181-202.

Cizmeci, D. (2020, Oct 29,). Personalized loyalty programs is the future of marketing: Here’s why. Retrieved on January 10th, 2021 from

https://www.business2community.com/loyalty-marketing/personalized-loyalty-programs-is-the-future-of-marketing-heres-why-02357854.

Cuieford, J.P. (1965). Fundamental Statistics in Psychology and Education (4th ed).

McGraw-Hill, New York, NY.

Danaher, P. J., & Rossiter, J. R. (2011). Comparing perceptions of marketing communication channels. European Journal of Marketing.

Dar-Nimrod, I., Rawn, C. D., Lehman, D. R., & Schwartz, B. (2009). The maximization paradox: The costs of seeking alternatives. Personality and Individual

Differences, 46(5-6), 631-635.

Davis, B. (2019, December 9). 10 Industries Where Loyalty Programs Are Extremely

Effective. Stamp Me.

https://stampme.com/10-industries-where-loyalty-programs-are-extremely-effective/

Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute

of Technology).

DelVecchio, D., Henard, D. H., & Freling, T. H. (2006). The effect of sales promotion on post-promotion brand preference: A meta-analysis. Journal of retailing, 82(3), 203-213.

Demoulin, N. T., & Zidda, P. (2008). On the impact of loyalty cards on store loyalty: Does the customers’ satisfaction with the reward scheme matter?. Journal of retailing and Consumer Services, 15(5), 386-398.

De Keyzer, F., Dens, N., & De Pelsmacker, P. (2015). Is this for me? How consumers respond to personalized advertising on social network sites. Journal of Interactive Advertising, 15(2), 124-134.

Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual review of psychology, 41(1), 417-440.

Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information systems research, 17(1), 61-80.

Dominique-Ferreira, S., Vasconcelos, H., & Proença, J. F. (2016). Determinants of customer price sensitivity: an empirical analysis. Journal of Services Marketing.

Dorotic, M., Bijmolt, T. H., & Verhoef, P. C. (2012). Loyalty programmes: Current knowledge and research directions. International Journal of Management Reviews, 14(3), 217-237.

Dreze, X., & Nunes, J. C. (2009). Feeling superior: The impact of loyalty program structure on consumers' perceptions of status. Journal of Consumer Research, 35(6), 890-905.

Evans, M. (2003). The relational oxymoron and personalisation pragmatism. Journal of Consumer Marketing.

Fan, H., & Poole, M. S. (2006). What is personalization? Perspectives on the design and implementation of personalization in information systems. Journal of Organizational Computing and Electronic Commerce, 16(3-4), 179-202.

Finaccord. (2013). Retailer payment, gift and loyalty cards in Europe. Retrieved from

http://www.finaccord.com/uk/report_retailer_payment_gift_loyalty_cards_europe.htm Fiore, A. M., Lee, S. E., & Kunz, G. (2004). Individual differences, motivations, and

willingness to use a mass customization option for fashion products. European Journal of marketing.

Furinto, A., Pawitra, T., & Balqiah, T. E. (2009). Designing competitive loyalty programs:

How types of program affect customer equity. Journal of targeting, Measurement and Analysis for Marketing, 17(4), 307-319.

Gazquez-Abad, J. C., & Sanchez-Perez, M. (2009). Characterising the deal-proneness of consumers by analysis of price sensitivity and brand loyalty: an analysis in the retail

environment. The International Review of Retail, Distribution and Consumer Research, 19(1), 1-28.

Gopal, R. D., Pathak, B., Tripathi, A. K., & Yin, F. (2006). From Fatwallet to eBay: An investigation of online deal-forums and sales promotions. Journal of Retailing, 82(2), 155-164.

Gupta, S. (1988). Impact of sales promotions on when, what, and how much to buy. Journal of Marketing research, 25(4), 342-355.

Haisley, E., & Loewenstein, G. (2011). It's not what you get but when you get it: The effect of gift sequence on deposit balances and customer sentiment in a commercial

bank. Journal of Marketing Research, 48(1), 103-115.

Halimi, A. B., Chavosh, A., & Choshalyc, S. H. (2011). The influence of relationship marketing tactics on customer’s loyalty in B2C relationship–the role of

communication and personalization. European Journal of Economics, Finance and Administrative Science, (31), 49-56.

Han, S. P., & Shavitt, S. (1994). Persuasion and culture: Advertising appeals in individualistic and collectivistic societies. Journal of experimental social psychology, 30(4), 326-350.

Hao, S., & Jin, J. (2013, December). The Collaborative Propagation Mechanism of Traditional Science Media and New Science Media. International Conference on Advances in Social Science, Humanities, and Management (ASSHM-13) (pp.

777-780). Atlantis Press.

Hearn, G., Foth, M., & Gray, H. (2009). Applications and implementations of new media in corporate communications. Corporate Communications: An International Journal.

Hinz, O., Gerstmeier, E., Tafreschi, O., Enzmann, M., & Schneider, M. (2007). Customer loyalty programs and privacy concerns. BLED 2007 Proceedings, 32.

Hsu, W. T., Lu, Y., & Ng, T. (2014). Does competition lead to customization?. Journal of Economic Behavior & Organization, 106, 10-28.

Huberman, B. A., Loch, C. H., & Önçüler, A. (2004). Status as a valued resource. Social Psychology Quarterly, 67(1), 103-114.

Hun, T. K., & Yazdanifard, R. (2014). The Impact of Proper Marketing Communication Channels on Consumer’s Behavior and Segmentation Consumers. Asian Journal of Business and Management, 2(2).

Islam, M. R. (2018). Sample size and its role in Central Limit Theorem (CLT). International journal of physics & mathematics, 5(1), 1.

Kaneko, K., Kishita, Y., & Umeda, Y. (2018). Toward developing a design method of

personalization: proposal of a personalization procedure. Procedia CIRP, 69, 740-745.

Kim, J. J., Steinhoff, L., & Palmatier, R. W. (2020). An emerging theory of loyalty program dynamics. Journal of the Academy of Marketing Science, 1-25.

Kivetz, R., & Simonson, I. (2003). The idiosyncratic fit heuristic: Effort advantage as a determinant of consumer response to loyalty programs. Journal of marketing research, 40(4), 454-467.

Knight, D. K., & Kim, E. Y. (2007). Japanese consumers' need for uniqueness: Effects on brand perceptions and purchase intention. Journal of Fashion Marketing and Management: An International Journal.

Kramer, T., Spolter-Weisfeld, S., & Thakkar, M. (2007). The effect of cultural orientation on consumer responses to personalization. Marketing Science, 26(2), 246-258.

Krishnamurthi, L., & Papatla, P. (2003). Accounting for heterogeneity and dynamics in the loyalty–price sensitivity relationship. Journal of Retailing, 79(2), 121-135.

Kruidvat. (n.d.). Jouw extra aanbieding. Retrieved on March 4th, 2021 from https://www.kruidvat.nl/extraaanbieding.

Kwon, K., & Kim, C. (2012). How to design personalization in a context of customer

retention: Who personalizes what and to what extent?. Electronic Commerce Research and Applications, 11(2), 101-116.

Lee, D. J., Ahn, J. H., & Bang, Y. (2011). Managing consumer privacy concerns in personalization: a strategic analysis of privacy protection. Mis Quarterly, 423-444.

Lee, M., Lee, H., Kim, Y., Kim, J., Cho, M., Jang, J., & Jang, H. (2018). Mobile app-based health promotion programs: a systematic review of the literature. International journal of environmental research and public health, 15(12), 2838.

Leenheer, J., Van Heerde, H. J., Bijmolt, T. H., & Smidts, A. (2007). Do loyalty programs really enhance behavioral loyalty? An empirical analysis accounting for self-selecting members. International Journal of Research in Marketing, 24(1), 31-47.

Lichtenstein, D. R., Burton, S., & Netemeyer, R. G. (1997). An examination of deal proneness across sales promotion types: a consumer segmentation

perspective. Journal of Retailing, 73(2), 283-297.

Lopes, C., Cabral, B., & Bernardino, J. (2016, July). Personalization Using Big Data Analytics Platforms. In Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering (pp. 131-132).

Lynn, G. S., Maltz, A. C., Jurkat, P. M., & Hammer, M. D. (1999). New media in marketing redefine competitive advantage: a comparison of small and large firms. Journal of Services Marketing.

MacInnis, D. J. (2011). A framework for conceptual contributions in marketing. Journal of Marketing, 75(4), 136-154.

Maghsoudi, R., Shapka, J., & Wisniewski, P. (2020). Examining how online risk exposure and online social capital influence adolescent psychological stress. Computers in Human Behavior, 113, 106488.

Maiter, S., Simich, L., Jacobson, N., & Wise, J. (2008). Reciprocity: An ethic for community-based participatory action research. Action research, 6(3), 305-325.

McCall, M., & Voorhees, C. (2010). The drivers of loyalty program success: An organizing framework and research agenda. Cornell Hospitality Quarterly, 51(1), 35-52.

Melnyk, V., & van Osselaer, S. M. (2012). Make me special: Gender differences in consumers’ responses to loyalty programs. Marketing Letters, 23(3), 545-559.

Mercadé-Melé, P., Molinillo, S., Fernández-Morales, A., & Porcu, L. (2018). CSR activities and consumer loyalty: The effect of the type of publicizing medium. Journal of Business Economics and Management, 19(3), 431-455.

Meyer-Waarden, L. (2015). Effects of loyalty program rewards on store loyalty. Journal of Retailing and Consumer Services, 24, 22-32.

Mialki, S. (2020, February 10). How to Use Content Personalization in Digital Marketing Campaigns (4 Strategies). Instapage.

https://instapage.com/blog/content-personalization.

Miyazaki, A. D., Grewal, D., & Goodstein, R. C. (2005). The effect of multiple extrinsic cues on quality perceptions: A matter of consistency. Journal of consumer research, 32(1), 146-153.

Murthi, B. P. S., & Sarkar, S. (2003). The role of the management sciences in research on personalization. Management Science, 49(10), 1344-1362.

Ndubisi, N. O., & Moi, C. T. (2005). Customers behaviourial responses to sales promotion:

the role of fear of losing face. Asia Pacific Journal of Marketing and Logistics.

Noar, S. M., Benac, C. N., & Harris, M. S. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological bulletin, 133(4), 673.

Oh, H. (2003). Price fairness and its asymmetric effects on overall price, quality, and value judgments: the case of an upscale hotel. Tourism management, 24(4), 387-399.

Oh, H., & Kwon, K. N. (2009). An exploratory study of sales promotions for multichannel holiday shopping. International Journal of Retail & Distribution Management.

Onespot. (n.d.). 4 Types of Content Personalization. Retrieved June 18, 2021, from https://www.onespot.com/blog/4-types-of-content-personalization/

Parvatiyar, A., & Sheth, J. N. (2001). Customer relationship management: Emerging practice, process, and discipline. Journal of Economic & Social Research, 3(2).

Peltier, J. W., Schibrowsky, J. A., & Schultz, D. E. (2003). Interactive integrated marketing communication: combining the power of IMC, the new media and database

marketing. International journal of advertising, 22(1), 93-115.

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of

persuasion. Communication and persuasion (pp. 1-24). Springer, New York, NY.

Pine, B. J. (1993). Mass customization (Vol. 17). Boston: Harvard business school press.

Pine, B. J., Pine, J., & Gilmore, J. H. (1999). The experience economy: work is theatre &

every business a stage. Harvard Business Press.

Presslee, A., Vance, T. W., & Webb, R. A. (2013). The effects of reward type on employee goal setting, goal commitment, and performance. The Accounting Review, 88(5), 1805-1831.

Reinartz, W. J. (2006). Understanding customer loyalty programs. In Retailing in the 21st Century (pp. 361-379). Springer, Berlin, Heidelberg.

Rust, R. T., & Verhoef, P. C. (2005). Optimizing the marketing interventions mix in intermediate-term CRM. Marketing science, 24(3), 477-489.

Sahni, N. S., Wheeler, S. C., & Chintagunta, P. (2018). Personalization in email marketing:

The role of noninformative advertising content. Marketing Science, 37(2), 236-258.

Santini, F. D. O., Vieira, V. A., Sampaio, C. H., & Perin, M. G. (2016). Meta-analysis of the long-and short-term effects of sales promotions on consumer behavior. Journal of Promotion Management, 22(3), 425-442.

Sawilowsky, S. S. (2009). New effect size rules of thumb. Journal of Modern Applied Statistical Methods, 8(2), 26.

Schlosser, A. E. (1998). Applying the functional theory of attitudes to understanding the influence of store atmosphere on store inferences. Journal of Consumer

Psychology, 7(4), 345-369.

Šerić, M., Ozretić-Došen, Đ., & Škare, V. (2020). How can perceived consistency in marketing communications influence customer–brand relationship

outcomes?. European Management Journal, 38(2), 335-343.

Sharp, B., & Sharp, A. (1997). Loyalty programs and their impact on repeat-purchase loyalty patterns. International journal of Research in Marketing, 14(5), 473-486.

Shen, A., & Ball, A. D. (2011). Preference stability belief as a determinant of response to personalized recommendations. Journal of Consumer Behaviour, 10(2), 71-79.

Simonson, I. (2005). Determinants of customers’ responses to customized offers: Conceptual framework and research propositions. Journal of marketing, 69(1), 32-45.

Singh, G., Singh, H., & Shriwastav, S. (2019). Improving Email Marketing Campaign Success Rate Using Personalization. Advances in Analytics and Applications (pp. 77-83). Springer, Singapore.

Sneed, G. (2005). Do your customers really feel rewarded? Retrieved on January 11th, 2021 from https://www.adweek.com/performance-marketing/do-your-customers-really-feel-rewarded-28140/.

Souiden, N., Chtourou, S., & Korai, B. (2017). Consumer attitudes toward online advertising:

The moderating role of personality. Journal of promotion management, 23(2), 207-227.

Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of retailing, 78(1), 41-50.

Srivastava, M., & Kaul, D. (2016). Exploring the link between customer experience–loyalty–

consumer spend. Journal of Retailing and Consumer Services, 31, 277-286.

Stewart, D. W., & Pavlou, P. A. (2002). From consumer response to active consumer:

Measuring the effectiveness of interactive media. Journal of the Academy of Marketing Science, 30(4), 376-396.

Steyn, P., Pitt, L., Strasheim, A., Boshoff, C., & Abratt, R. (2010). A cross-cultural study of the perceived benefits of a retailer loyalty scheme in Asia. Journal of Retailing and Consumer Services, 17(5), 355-373.

Sunikka, A., & Bragge, J. (2012). Applying text-mining to personalization and customization research literature–Who, what and where?. Expert Systems with Applications, 39(11), 10049-10058.

The Wise Marketer. (2021, January 13). Customer Loyalty in 2021: Trends and Future Predictions. The Wise Marketer - Featured News on Customer Loyalty and Reward

Programs.

Todor, R. D. (2016). Blending traditional and digital marketing. Bulletin of the Transilvania University of Brasov. Economic Sciences. Series V, 9(1), 51.

Tong, J. (2018). Research on the Interaction and Integration of New Media and Traditional Media.

Venkatesan, R., & Farris, P. (2012). Measuring and managing returns from retailer-customized coupon campaigns. Journal of Marketing, 76(1), 76-94.

Vesanen, J. (2007). What is personalization? A conceptual framework. European Journal of Marketing.

Vesanen, J., & Raulas, M. (2006). Building bridges for personalization: A process model for marketing. Journal of Interactive Marketing, 20(1), 5-20.

Wakefield, K. L., & Inman, J. J. (2003). Situational price sensitivity: the role of consumption occasion, social context and income. Journal of Retailing, 79(4), 199-212.

Welch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336.

Wirtz, J., Mattila, A. S., & Oo Lwin, M. (2007). How effective are loyalty reward programs in driving share of wallet?. Journal of service Research, 9(4), 327-334.

Yang, L., Cheung, W. L., Henry, J., Guthrie, J., & Fam, K. S. (2010). An examination of sales promotion programs in Hong Kong: What the retailers offer and what the consumers prefer. Journal of Promotion Management, 16(4), 467-479.

Yi, Y., & Jeon, H. (2003). Effects of loyalty programs on value perception, program loyalty, and brand loyalty. Journal of the Academy of Marketing Science, 31(3), 229-240.

Yi, Y., & Yoo, J. (2011). The long‐term effects of sales promotions on brand attitude across monetary and non‐monetary promotions. Psychology & Marketing, 28(9), 879-896.

Yoon, H. S., & Steege, L. M. B. (2013). Development of a quantitative model of the impact of customers’ personality and perceptions on Internet banking use. Computers in Human Behavior, 29(3), 1133-1141.

Yoon, H. J., Sung, S. Y., Choi, J. N., Lee, K., & Kim, S. (2015). Tangible and intangible rewards and employee creativity: The mediating role of situational extrinsic motivation. Creativity Research Journal, 27(4), 383-393.

Yu, J., & Cude, B. (2009). ‘Hello, Mrs. Sarah Jones! We recommend this product!

’Consumers' perceptions about personalized advertising: comparisons across

advertisements delivered via three different types of media. International journal of consumer studies, 33(4), 503-514.

Zhang, J., & Wedel, M. (2009). The effectiveness of customized promotions in online and offline stores. Journal of marketing research, 46(2), 190-206.

Appendix A: Pretest questionnaire

Block 1 - Introduction Q1 Dear participant,

Thank you for participating in this study. Your participation in this study will require approximately 5 minutes. All information you provide will remain confidential and will not be associated with your name. If you have any further questions concerning this study please feel free to contact me: Sophie Klijn via sophie.klijn@student.uva.nl.

Before starting the survey, please indicate below whether you agree to participate:

o

I agree to participate in this study

o

I disagree to participate in this study Block 2 - One-to-one (1) - Randomizer

Q2 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in the loyalty program. The Food Market's loyalty program keeps track of your purchases, and uses your data to offer you personalized rewards. The rewards you receive are personalized to only your preferences and past

purchases.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 3 - One-to-one (2) - Randomizer

Q3 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in the loyalty program. The Food Market's loyalty program keeps track of your purchases, and uses your data to offer you personalized rewards. When making a purchase you scan your loyalty card, which makes it easy for The Food Market to gather data on you. This is not only data on what you bought, but also when you bought, and whether this purchase was online of offline for example. The rewards you receive are personalized to only your preferences and past purchases.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 4 - One-to-N (1) - Randomizer

Q4 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in the loyalty program. The Food Market's loyalty program keeps track of your purchases, and uses your data to offer you personalized rewards. The rewards you receive are personalized to the preferences and past purchases of the customer segment you fall into.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 5 - One-to-N (2) - Randomizer

Q5 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in the loyalty program. The Food Market's loyalty program keeps track of your purchases, and uses your data to offer you personalized rewards. When making a purchase you scan your loyalty card, which makes it easy for The Food Market to gather data on you. This is not only data on what you bought, but also when you bought, and whether this purchase was online of offline for example. Based on this information, The Food Market compose different consumer segments. The rewards you receive are personalized to the preferences and past purchases of the customer segment you fall into.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 6 - No personalization (1) - Randomizer

Q6 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in the loyalty program. The Food Market's loyalty program does not keep track of your purchases, and does not use your data to offer you personalized rewards. The rewards you receive are generic because all members of the loyalty program receive the same rewards.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 7 - No personalization (2) - Randomizer

Q7 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in the loyalty program. The Food Market's loyalty program does not keep track of your purchases, and does not use your data to offer you personalized rewards. When making a purchase you scan your loyalty card, but The Food Market is not making use of any data (e.g., what you bought, but also when you bought, and whether this purchase was online of offline). The rewards you receive are generic because all members of the loyalty program receive the same rewards. The Food Market distinguish between two groups, namely members and non-members of the loyalty program.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 8 - Offline communication (1) - Randomizer

Q8 You receive a flyer with the following rewards. Please take a look at it and click on the arrow to go to the next page.

$1.41

Online code:

HIVU881 Valid: 03/03/2021 until 03/10/2021

$1.00

$1.41

$1.00

Valid: 03/03/2021 until 03/10/2021 Online code:

HIVU882

An offer from The Food Market!

Block 9 - Offline communication (2) - Randomizer

Q9 You receive a direct mail (by post) with the following reward. Please take a look at it and click on the arrow to go to the next page.

Block 10 - Online communication (1) - Randomizer

Q10 You receive an email with the following rewards. Please take a look at it and click on the arrow to go to the next page.

Block 11 - Online communication (2) - Randomizer

Q11 You receive a mobile app notification (left). After opening it, you see the following rewards (right). Please take a look at it and click on the arrow to go to the next page.

Block 12

Q12 What personalization type do The Food Market use?

o

The Food Market personalizes based on consumer segments

o

The Food Market personalizes based on individual consumers

o

The Food Market does not make use of any personalization

o

Could be any type of personalization

Q15 What personalization type do The Food Market use?

o

The Food Market personalizes based on consumer segments

o

The Food Market personalizes based on individual consumers

o

The Food Market does not make use of any personalization

o

Could be any type of personalization

Q13 What communication channel type was used to communicate the reward?

o

An offline communication channel

o

An online communication channel

o

Could be any type of communication channel Block 13 - Debriefing

Thank you for participating in this study. Please click the arrow below to complete the survey.

If you have any further questions concerning this study please feel free to contact me: Sophie Klijn at sophie.klijn@student.uva.nl.

Kind regards, Sophie Klijn

Appendix B: Visualizations outcomes pretest

Figure 5:

Visualization pretest personalization type

Figure 6:

Visualization pretest communication channel

Appendix C: Experiment questionnaire

Block 1 - Introduction Q1 Dear participant,

Thank you for participating in this study. Your participation in this study will require approximately 5 minutes. All information you provide will remain confidential and will not be associated with your name. If you have any further questions concerning this study please feel free to contact me: Sophie Klijn via sophie.klijn@student.uva.nl.

Before starting the survey, please indicate below whether you agree to participate:

o

I agree to participate in this study

o

I disagree to participate in this study

Block 2 - Personalization type (one-to-one) - Randomized

Q2 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in their loyalty program. The Food Market's loyalty program keeps track of your purchases, and uses your data to offer rewards.

The rewards you receive are personalized to only your preferences and past purchases.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 3 - Personalization type (one-to-N) - Randomized

Q3 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in their loyalty program. The Food Market's loyalty program keeps track of your purchases, and uses your data to offer rewards.

The rewards you receive are personalized to the preferences and past purchases of the customer segment you fall into.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 4 - Personalization type (no personalization) - Randomized

Q4 Imagine yourself in the following situation: you regularly shop groceries at The Food Market, and therefore decided to participate in their loyalty program. The Food Market's

loyalty program does not keep track of your purchases, and does not use your data to offer rewards.

The rewards you receive are generic because all members of the loyalty program receive the same rewards.

While keeping the situation described above in mind, please click to the next page to see the reward you receive.

Block 5 - Communication channel (online) - Randomized

Q5 You receive a mobile app notification (left). After opening it, you see the following rewards (right). Please take a look at it and click on the arrow to go to the next page.

In document 9 2.1.2 Loyalty program designs (pagina 52-81)

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