Review Articles

Funnel testing in webpage optimisation: representation, design and analysis

Heng Su ,

School of Industrial and Systems Engineering, Georgia Institute of Technology, Wells Fargo Bank, Charlotte, NC, USA

C. F. Jeff Wu

School of Industrial and Systems Engineering, Georgia Institute of Technology, Wells Fargo Bank, Charlotte, NC, USA

jeff.wu@isye.gatech.edu

Pages 3-14 | Received 01 Mar. 2017, Accepted 17 May. 2017, Published online: 12 Jul. 2017,
  • Abstract
  • Full Article
  • References
  • Citations

When optimizing webpages in order to achieve the best conversion rate, the traditional approach is to isolate and analyze them separately through a sequence of experiments. In this paper, we propose a new framework to study a system of webpages simultaneously through the use of directed graph, fractional factorial design and simple optimization algorithm. The illustrative example shows that such complicated web systems can be easily studied and optimized by using the proposed methodology.

  1. Ash, T. (2009). Landing page optimization: The definitive guide to testing and tuning for conversions. Indianapolis, IN: Wiley. [Google Scholar]
  2. Donato, D., Laura, L., Leonardi, S., & Millozzi, S. (2004). Large scale properties of the webgraph. The European Physical Journal B - Condensed Matter and Complex Systems, 38(2), 239–243. [Google Scholar]
  3. Montgomery, D. C. (2012). Design and analysis of experiments (8th ed.). New York, NY: Wiley. [Google Scholar]
  4. Ozolins, M. (2012). What is a conversion funnel. Retrieved 6 June, 2014, from http://www.webics.com.au/blog/ conversion-tracking/conversion-funnel/ [Google Scholar]
  5. Qualaroo, (2014). The beginner's guide to conversion rate optimization (2nd ed.). Retrieved 6 June, 2014, from https://qualaroo.com/beginners-guide-to-cro/user-experience-and-funnel-optimization/ [Google Scholar]
  6. Wu, C. F. J., & Hamada, M. S. (2009). Experiments: Planning, analysis, and optimization. New York, NY: Wiley. [Google Scholar]