Abstract
This paper aims to determine which factors affect e-commerce conversion rate, which is the relationship between website visitors and purchasers.
Focusing on apparel e-commerce websites, this paper uses a fixed effect estimator on a perfectly balanced panel, finding that pricing policy is the only relevant factor and, specifically, that discount has a positive effect on conversion rate.
This finding contributes to advancing the theory of conversion rate management, shedding light on its determinants and providing a better understanding of online consumer behavior. This research is also extremely relevant for practitioners, providing managerial implications for retailers addressing their e-commerce strategy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Data Source: https://fashionunited.com/
- 2.
In the Kano Model for quality (1984), indifferent requirements (such as free returns) imply that this feature does not affect customer satisfaction. On the other hand, must-be requirements (such as webpage loading speed) do not increase customer satisfaction by their presence, but their absence produces a negative effect on user perceptions.
Bibliography
Aladwani, A. M., & Palvia, P. C. (2002). Developing and validating an instrument for measuring userperceived web quality. Information Management, 39(2), 467–476.
Barrutia, J. M., & Gilsanz, A. (2009). E-service quality: Overview and research agenda. International Journal of Quality and Service Sciences, 1(1), 29–50.
Bendel, R. B., & Afifi, A. A. (1977). Comparison of stopping rules in forward “stepwise” regression. Journal of the American Statistical Association, 72(357), 46–53.
Bower, A. B., & Maxham, J. G., III. (2012). Return shipping policies of online retailers: Normative assumptions and the long-term consequences of fee and free returns. Journal of Marketing, 76(5), 110–124.
Brown, M., Pope, N., & Voges, K. (2003). Buying or browsing? An exploration of shopping orientations and online purchase intention. European Journal of Marketing, 37(11), 1666–1684.
Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management & Data Systems, 107(1), 21–36.
Clarke, K. (2001). What price on loyalty when a brand switch is just a click away? Qualitative Market Research: An International Journal, 4(3), 160–168.
Di Fatta, D., Musotto, R., & Vesperi, W. (2016). Analyzing e-commerce websites: A quali-quantitative approach for the user perceived web quality (UPWQ). International Journal of Marketing Studies, 8(6), 33–44.
Di Fatta, D., & Musotto, R. (2017). Content and sentiment analysis on Online Social Networks (OSNs). In Data analytics in digital humanities (pp. 121–133). Cham: Springer International Publishing.
Dominici, G., & Di Fatta, D. (2016). Quali sono le determinanti della web-quality di un e-commerce? Applicazione del modello di Kano al caso Scalia Group. Proceeding of XXVIII Sinergie Annual Conference. Udine, Italy.
Dominici, G., Matić, M., Abbate, T., & Fatta, D. D. (2016). Consumer attitude toward using smart shopping carts: A comparative analysis of Italian and Croatian consumer attitudes. International Journal of Electronic Marketing and Retailing, 7(3), 229–244.
E-commerce in Italy. (2016). Aprile 13 Analisi dello studio “Casaleggio Associati” sullo stato dell’e-commerce in Italia. 13 April, Milan, Italy.
EMarketer. (2014). Retail sales worldwidewill top $22 trillion this year. Retrieved from: http://www.emarketer.com/Article/Retail-Sales-Worldwide-Will-Top-22-Trillion-This-year/1011765/. 23 December.
Frost, D., Goode, S., & Hart, D. (2010). Individualist and collectivist factors affecting online repurchase intentions. Internet Research, 20(1), 6–28.
Goldsmith, R. E., & Goldsmith, E. B. (2002). Buying apparel over the internet. Journal of Product & Brand Management, 11(2), 89–102.
Grewal, D., Gopalkrishnan, R. I., & Levy, M. (2004). Internet retailing: Enablers, limiters and marketing consequences. Journal of Business Research, 57(7), 703–713.
Ha, S., & Stoel, L. (2012). Online apparel retailing: Roles of e-shopping quality and experiential e-shopping motives. Journal of Service Management, 23(2), 197–215.
Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The influence of avatars on online consumer shopping behavior. Journal of Marketing, 70(4), 19–36.
Jackson, T. (2007). Chapter 9. The process of trend development leading to a fashion season. In Fashion marketing: Contemporary issues (pp. 168–187). Oxford, UK: Butterworth-Heinemann, imprint of Elsevier.
Jennrich, R. I., & Sampson, P. F. (1968). Application of stepwise regression to non-linear estimation. Technometrics, 10(1), 63–72.
Kaufmann, H. R., Loureiro, S. M. C., Basile, G., & Vrontis, G. (2012). The increasing dynamics between consumers, social groups and brands. Qualitative Market Research: An International Journal, 15(4), 404–419.
Kim, J., & Lee, J. (2002). Critical design factors for successful e-commerce systems. Behaviour and Information Technology, 21(3), 185–189.
Kim, M., & Stoel, L. (2004). Apparel retailers: Web site quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 11(1), 109–117.
Koufaris, M., & Hampton-Sosa, W. (2004). The development of initial trust in an online company by new customers. Information Management, 41(3), 377–397.
Koukova, N. T., Srivastava, J., & Steul-Fischer, M. (2012). The effect of shipping fee structure on consumers’ online evaluations and choice. Journal of the Academy of Marketing Science, 40(6), 759–770.
Laudon, K. C., & Traver, C. G. (2007). E-commerce. Boston: Pearson/Addison Wesley.
Le, T. (2015). Service quality in luxury e-commerce: Case Study in China. AaltoSchool of business, Thesis number: 14697. https://aaltodoc.aalto.fi/handle/123456789/21519
Lewis, M., Singh, V., & Fay, S. (2006). An empirical study of the impact of nonlinear shipping and handling fees on purchase incidence and expenditure decisions. Marketing Science, 25(1), 51–64.
Ling, K. C., Chai, L. T., & Piew, T. H. (2010). The effects of shopping orientations, online trust and prior online purchase experience toward customers’ online purchase intention. International Business Research, 3(3), 63.
Longest, K. C., & Vaisey, S. (2008). Fuzzy: A program for performing qualitative comparative analyses (QCA) in Stata. Stata Journal, 8(1), 79.
McDowell, W. C., Wilson, R. C., & Kile, C. O. (2016). An examination of retail website design and conversion rate. Journal of Business Research, 69(11), 4837–4842.
McKnight, D. H., & Cervany, N. L. (2001). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronic Commerce, 6(2), 35–59.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.
Olšina, L., Godoy, D., Lafuente, G., & Rossi, G. (1999). Assessing the quality of academic websites: A case study. New Review of Hypermedia and Multimedia, 5(1), 81–103.
Ordanini, A. (2011). I servizi logistici nei digital marketplace e l’impatto sulle risorse strategiche d’impresa. Sinergie Italian Journal of Management, 57(2), 131–149.
Ostapenko, N. (2013). Online discount luxury: In search of guilty customers. International Journal of Business and Social Research, 3(2), 60–68.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL.: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–234.
Petersen, J. A., & Kumar, V. (2015). Perceived risk, product returns, and optimal resource allocation: Evidence from a field experiment. Journal of Marketing Research, 52(2), 268–285.
Schlosser, A. E., Barnett, T., & Lloyd, S. M. (2006). Converting web site visitors into buyers: How web site investment increases consumer trusting beliefs and online purchase intentions. Journal of Marketing, 70(2), 133–148.
Simoni, C. (2011). L’impatto del commercio elettronico business-to-consumer sulla logistica distributiva, con particolare riferimento alla logistica dell’ultimo miglio. Sinergie Italian Journal of Management, 57(2), 151–175.
Sohrabi, B., Mahmoudian, P., & Raessi, I. (2012). A framework for improving e-commerce websites’ usability using a hybrid genetic algorithm and neural network system. Neural Computing and Applications, 21(5), 1017–1029.
Udo, G. J., & Marquis, G. P. (2002). Factors affecting e-commerce web site effectiveness. The Journal of Computer Information Systems, 42(2), 10–16.
Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41–48.
Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: Dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183–198.
Woodside, A. G. (2014). Embrace perform model: Complexity theory, contrarian case analysis, and multiple realities. Journal of Business Research, 67(12), 2495–2503.
Young Kim, E., & Kim, Y. K. (2004). Predicting online purchase intentions for clothing products. European Journal of Marketing, 38(7), 883–897.
Zhang, X., Li Y., & Sun, P. (2015), Inventory optimization research on shampoo products of B2C e-commerce with temporary price discount, In Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on, Barcelona, Spain, (pp. 1–6), IEEE.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Di Fatta, D., Nania, I. (2018). Only Pricing Policy Matters. In: Dominici, G., Del Giudice, M., Lombardi, R. (eds) Governing Business Systems. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-66036-3_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-66036-3_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66034-9
Online ISBN: 978-3-319-66036-3
eBook Packages: Business and ManagementBusiness and Management (R0)