Abstract
Online syndicated text-based advertising is ubiquitous on news sites, blogs, personal websites, and on search result pages. Until recently, a common distinguishing feature of these text-based advertisements has been their background color. Following intervention by the Federal Trade Commission (FTC), the format of these advertisements has undergone a subtle change in their design and presentation. Using three empirical experiments, we investigate the effect of industry-standard advertising practices on click rates, and demonstrate changes in user behavior when this familiar differentiator is modified. Using three large-scale experiments (N1 = 101, N2 = 84, N3 = 176) we find that displaying advertisement and content results with a differentiated background results in significantly lower click rates. Our results demonstrate the strong link between background color differentiation and advertising, and reveal how alternative differentiation techniques influence user behavior.
| Original language | English |
|---|---|
| Pages (from-to) | 535-543 |
| Number of pages | 9 |
| Journal | Computers in Human Behavior |
| Volume | 50 |
| DOIs | |
| Publication status | Published - 10 May 2015 |
Keywords
- Advertising
- Behavior
- Crowdsourcing
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Data underpinning - Differentiation of online text-based advertising and the effect on users' click behavior
Jacques, J. T. (Creator), Perry, M. (Creator) & Kristensson, P. O. (Creator), University of Cambridge, 17 Apr 2015
https://www.repository.cam.ac.uk/handle/1810/247391
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