Quantifying the Relative Importance of Key Drivers of Landing Page
DOI:
https://doi.org/10.17010/ijom/2017/v47/i11/119294Keywords:
Landing Page
, Click to Action (CTA), Click Through Rate (CTR), E-Commerce, WebsitePaper Submission Date
, May 8, 2017, Paper sent back for Revision, October 5, Paper Acceptance Date, October 11, 2017.Abstract
In the world of Internet surfing, the first impression of a webpage is formed by the quality of its Landing Page. It is important as it drives the visitor's perception of the contents of the website. It influences visitors to make a purchase, sign up for a newsletter, or do any other activity that may be the purpose of the site. In e-commerce / commercial portals, triggering click to action (CTA) has become all the more important. This study aimed to assess the key drivers or attributes responsible for enhancing the quality of the landing page as well as for triggering click to action (CTA) through preference decomposition approach. Each page consists of various elements or combinations of elements such as title, body, font face, background theme or color, etc. This research study attempted to quantify the relative importance of the key attributes that would maximize the click through rate (CTR) apart from attracting visitors to the page and influence them to traverse through the webpage or website entirely. It emerged from our study that high colour impact (31.57%), image in banner (26.31% ), relevant theme (15.78%), and flashing relevant ads (15.78% ), in that order, were the key drivers.Downloads
Downloads
Published
How to Cite
Issue
Section
References
Ash, T. (2008). Landing page optimization. Hoboken, NJ : John Wiley & Sons, Inc.
Avery, C. (2005). Only screen deep? Evaluating aesthetics, usability, and satisfaction in informational websites (Doctoral Dissertation, University of Central Florida Orlando, Florida). Retrieved from http://etd.fcla.edu/CF/CFE0000465/Avery_Carrie_L_200505_MA.pdf
Booth, J. (2006). Can multivariate tests reduce your shopping cart abandons? Real-life results. Retrieved from https://www.marketingsherpa.com/article/case-study/can-multivariate-tests-reduce-your
Cormode, G., & Krishnamurthy, B. (2008). Key differences between Web 1.0 and Web 2.0. First Monday, 13(6). Retrieved from http://firstmonday.org/ojs/index.php/fm/article/view/2125/1972
Dhote, T., & Zahoor, D. (2017). Framework for sustainability in E - commerce business models : A perspective based approach . Indian Journal of Marketing, 47 (4), 35 - 50. doi:10.17010/ijom/2017/v47/i4/112681
DiNucci, D., Giudice, M., & Stiles, L. (2000). Elements of web design. Berkeley, CA : Peachpit Press.
Ensor, B. (2007). The UK’s nationwide puts its members first: A case study in experience - based differentiation. Cambridge, MA : Forrester Research.
Farhan, M., & Yousaf, A. (2016). Exploring factors affecting the effectiveness of web-advertising. Indian Journal of Marketing, 46(8), 51 - 57. DOI: 10.17010/ijom/2016/v46/i8/99295
Gofman, A. (2007). Consumer driven multivariate landing page optimization: Overview, issues, and outlook. Transactions on Internet Research, 3 (2), 7- 9.
Gofman, A., Moskowitz, H. R., & Mets, T. (2009). Integrating science into web design: Consumer - driven web site optimization. Journal of Consumer Marketing, 26 (4), 286 - 298.
Hofacker, C. F., & Murphy, J. (2009). Consumer web page search, clicking behavior and reaction time. Direct Marketing: An International Journal, 3 (2), 88 - 96.
Hoffman, D.L., & Novak, T.P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60 (3), 50 - 68.
Holmqvist, K., Holsanova, J., Barthelson, M., & Lundqvist, D. (2003). Reading or scanning? A study of newspaper and net paper reading. Mind, 2 (3), 657 - 670.
Lam, S.Y., Chau, A.W.L., & Wong, T.J. (2007). Thumbnails as online product displays : How consumers process them. Journal of Interactive Marketing, 21 (1), 36 -59.
Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a first good impression ! Behaviour & Information Technology, 25 (2), 115-126.
Lynch, P., & Horton, S. (2001). Interface design web style guide basic design principles for creating web sites (2nd ed, pp. 17-35). New Haven : Yale University.
Menon, S., & Kahn, B.E. (2002). Cross-category effects of induced arousal and pleasure on the internet shopping experience. Journal of Retailing, 78 (1), 31 - 40.
Montgomery, A.L., Li, S., Srinivasan, K., & Liechty, J.C. (2004). Modeling online browsing and path analysis using clickstream data. Marketing Science, 23 (4), 579- 595.
Nielson, J. (2000). Designing web usability. Indianapolis, IN: New Riders.
O’Reilly, T. (2005, September 30). What is Web 2.0. Retrieved from http://www.oreilly.com/pub/a/web2/archive/what-is-web-20.html
Prasad, S., & Sharma, M. (2016). Demographic and socioeconomic influences shaping usage of online channel for purchase of food & grocery. Indian Journal of Marketing, 46(10), 7-21. doi:10.17010/ijom/2016/v46/i10/102851
Rajan, C. R., Swaminathan, T.N., & Pavithra, M. (2017). Key drivers of purchase intent by Indian consumers in omni-channel shopping. Indian Journal of Marketing, 47(5), 7- 20. DOI: 10.17010/ijom/2017/v47/i5/114233
Temkin, B. (2007, June 17). Experience - based differentiation. Retrieved from https://experiencematters.blog/2007/06/17/experience-based-differentiation/
White, K. (2006). How high is your bounce rate? Retrieved from http://newsletter.blizzardinternet.com/how-high-isyour-bounce-rate/2006/02/09/
Yoo, C. Y., Kim, K., & Stout, P. A. (2004). Assessing the effects of animation in online banner advertising: Hierarchy of effects model. Journal of Interactive Advertising, 4 (2), 49 - 60.