An Experimental Examination of Factors Affecting Click-Through of Keyword Search Ads

This study examines potential determinants of online users’ click-through behaviors for keyword search ads within the theoretical frameworks of dual processing models and the persuasion knowledge model. In total, 182 undergraduate students participated in an experiment featuring a mixed factorial design with two between-subject factors (i.e., perceived fit and rank of ad) and one within-subject factor (i.e., product involvement). Additionally, the level of persuasion knowledge was measured. The study found positive effects of perceived fit of an ad with a search term, the rank of ad in a search results page, and the level of product involvement on the target ad click-through rates. A negative effect of persuasion knowledge about keyword search ads was found for click-through rates. Furthermore, the study found that (1) the level of product involvement moderated the effects of perceived ad's fit on click-through and (2) the level of persuasion knowledge moderated the effects of the rank of an ad. The results suggest that both dual processing models and persuasion knowledge models have some applications to understand how consumers process keyword search ads. Some managerial implications are provided, as well as directions of future research.

[1]  S. Chaiken Heuristic versus systematic information processing and the use of source versus message cues in persuasion. , 1980 .

[2]  James Joseph Biundo,et al.  Analysis of Contingency Tables , 1969 .

[3]  Peter H. Bloch,et al.  A Theoretical Model for the Study of Product Importance Perceptions , 1983 .

[4]  R. Vaughn How advertising works: A planning model. , 1980 .

[5]  Lauren G. Block,et al.  When Consumers Don't Recognize 'Benign' Intention Questions as Persuasion Attempts , 2004 .

[6]  Franziska Marquart,et al.  Communication and persuasion : central and peripheral routes to attitude change , 1988 .

[7]  Amna Kirmani,et al.  Vigilant against Manipulation: The Effect of Regulatory Focus on the Use of Persuasion Knowledge , 2007 .

[8]  T. E. Barry The Development of the Hierarchy of Effects: An Historical Perspective , 2012 .

[9]  D. Mizerski,et al.  The Effects of Playing an Advergame on Young Children's Perceptions, Preferences, and Requests , 2007 .

[10]  Shelly Chaiken,et al.  Getting at the truth or getting along: Accuracy- versus impression-motivated heuristic and systematic processing. , 1996 .

[11]  R. Pieters,et al.  Visual attention to advertising: A segment-level analysis , 1997 .

[12]  Myung-Soo Lee,et al.  Separating Brand-Choice Involvement From Product Involvement Via Consumer Involvement Profiles , 1988 .

[13]  T. S. Robertson,et al.  Children and Commercial Persuasion: An Attribution Theory Analysis , 1974 .

[14]  J. Zaichkowsky Measuring the Involvement Construct , 1985 .

[15]  G. Fitzsimons,et al.  Asking questions can change choice behavior: does it do so automatically or effortfully? , 2000, Journal of experimental psychology. Applied.

[16]  Daniel C. Smith,et al.  Rethinking the effect of perceived fit on customers’ evaluations of new products , 1995 .

[17]  Amna Kirmani,et al.  Consumers' Use of Persuasion Knowledge: The Effects of Accessibility and Cognitive Capacity on Perceptions of an Influence Agent , 2000 .

[18]  Chang-Hoan Cho,et al.  Factors Influencing Clicking of Banner Ads on the WWW , 2003, Cyberpsychology Behav. Soc. Netw..

[19]  D. Kahneman,et al.  Attention and Effort , 1973 .

[20]  Hairong Li,et al.  Cognitive Impact of Banner Ad Characteristics: An Experimental Study , 1999 .

[21]  S. Chaiken,et al.  Promoting systematic processing in low-motivation settings: effect of incongruent information on processing and judgment. , 1991, Journal of personality and social psychology.

[22]  S. Chaiken,et al.  Heuristic processing can bias systematic processing: effects of source credibility, argument ambiguity, and task importance on attitude judgment. , 1994, Journal of personality and social psychology.

[23]  Bernard J. Jansen,et al.  An examination of searcher's perceptions of nonsponsored and sponsored links during ecommerce Web searching , 2006, J. Assoc. Inf. Sci. Technol..

[24]  Annie Lang,et al.  The limited capacity model of mediated message processing , 2000 .

[25]  Darrel D. Muehling,et al.  Defining, Operationalizing, and Using Involvement in Advertising Research: A Review , 1993 .

[26]  M. Sherif,et al.  The psychology of attitudes. , 1946, Psychological review.

[27]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[28]  J. Cacioppo,et al.  Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement , 1983 .

[29]  John Bibby,et al.  The Analysis of Contingency Tables , 1978 .

[30]  E. Hirschman,et al.  Motives Underlying Marketing Information Acquisition and Knowledge Transfer , 1982 .

[31]  Kevin Lane Keller,et al.  Consumer Evaluations of Brand Extensions , 1990 .

[32]  Bernard J. Jansen,et al.  An examination of searcher's perceptions of nonsponsored and sponsored links during ecommerce Web searching , 2006, J. Assoc. Inf. Sci. Technol..

[33]  Sally Hibbert,et al.  Guilt appeals: persuasion knowledge and charitable giving , 2007 .

[34]  Peter Wright,et al.  Persuasion Knowledge , 2022 .

[35]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[36]  Richard L. Celsi,et al.  The Role of Involvement in Attention and Comprehension Processes , 1988 .