Flipkart’s Sales Promotion Tools: A Model Development Study

Author:

Jamnani Ajay B.,Jamnani Jyoti

Abstract

Online retailers in India have tested various possible means to lure customers with promotional offerings such as discounts, cashback, loyalty programs, contests, electronic word of mouth, customer recommendations, reviews, flash sales, etc. Online customers face the challenge of analyzing, responding, and making their buying decisions accordingly. This empirical study aimed to ascertain the influence of various online sales promotional tools adopted by Flipkart on customers. A quantitative research approach was adopted and deployed for this particular research study. Data was elicited using a Likert Scale and administered on online buyers, and a model was developed and tested for the e-commerce player ‘Flipkart’ using the PLS-SEM technique. It explains the influence of two constructs, namely psychology, and consciousness, upon respondents’ Shopping Experience, and was found that constructs explained customers’ shopping experiences in the case of Flipkart.

Publisher

Informatics Publishing Limited

Reference42 articles.

1. Berter, E., & Blomqvist, C. (2010). Comparison of sales promotions tools for four American clothing websites: GAP Inc, American Eagle Outfitters Inc., Forever 21 Inc., and Bloomingdale’s. Thesis Report.

2. Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of Marketing Research, 36(3), 338-349.

3. Chen, B., Wang, L., Rasool, H., & Wang, J. (2022). The influence of e-commerce anchor qualities, perceived scarcity, and immersion on impulsive purchases in mobile shopping context: A research on Alibaba’s Mobile Taobao platform. Journal of Retailing and Consumer Services, 68, 101862.

4. Cummins, S., Peltier, J. W., Schibrowsky, J. A., & Nill, A. (2014). Consumer behavior in the online context. Journal of Research in Interactive Marketing, 8(4), 257-272. https://doi.org/10.1108/JRIM-04-2013- 0019

5. Erkan, I., & Elwalda, A. (2018). Effects of online customer reviews on purchase intention: Information adoption model. Journal of Business Research, 88, 330-337.

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