Title | ||
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Differentiation of online text-based advertising and the effect on users' click behavior |
Abstract | ||
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There is a drop in advertising click rates when using background coloration.There is a drop in content click rates when using background coloration.There is no difference in click rates when using unfamiliar differentiation. 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. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1016/j.chb.2015.04.031 | Computers in Human Behavior |
Keywords | Field | DocType |
Advertising,Crowdsourcing,Behavior | Search advertising,Contextual advertising,Advertising,Crowdsourcing,Computer science,Keyword advertising,Online advertising | Journal |
Volume | Issue | ISSN |
50 | C | 0747-5632 |
Citations | PageRank | References |
2 | 0.36 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jason T. Jacques | 1 | 7 | 3.11 |
Mark Perry | 2 | 4 | 2.07 |
Per Ola Kristensson | 3 | 1317 | 91.21 |