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Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns

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  • Klapdor, Sebastian
  • Anderl, Eva M.
  • von Wangenheim, Florian
  • Schumann, Jan H.

Abstract

Despite its importance for both e-commerce and traditional offline vendors, managing paid search campaigns is often based on trial and error. In particular, neither research nor practice has extensively addressed identifying relevant keywords and setting appropriate matching options. The authors develop a model based on a keyword's intrinsic and extrinsic information content to shed light on how keyword characteristics affect campaign performance. Intrinsic information includes linguistic aspects and user- and content-related features, which can be indirectly changed through extrinsic information such as matching options. Using an advertiser-level data set from multiple industries, this study evaluates the impact of these criteria on click-through and conversion rates. The authors find that the query variation index, which measures whether a keyword contains sufficient information to identify a user's information need correctly, is an effective predictor of keyword performance. Moreover, they show that the relationship between two of the main predictors, namely, query variation and advertiser names, and a keyword's performance is moderated by the advertiser's choice of matching options.

Suggested Citation

  • Klapdor, Sebastian & Anderl, Eva M. & von Wangenheim, Florian & Schumann, Jan H., 2014. "Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 285-301.
    • Handle: RePEc:eee:joinma:v:28:y:2014:i:4:p:285-301
    DOI: 10.1016/j.intmar.2014.07.001
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    1. Adan Ortiz-Cordova & Bernard J. Jansen, 2012. "Classifying web search queries to identify high revenue generating customers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1426-1441, July.
    2. Lizhen Xu & Jianqing Chen & Andrew Whinston, 2012. "Effects of the Presence of Organic Listing in Search Advertising," Information Systems Research, INFORMS, vol. 23(4), pages 1284-1302, December.
    3. Abou Nabout, Nadia & Skiera, Bernd, 2012. "Return on Quality Improvements in Search Engine Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 141-154.
    4. Bernard J. Jansen & Marc Resnick, 2006. "An examination of searcher's perceptions of nonsponsored and sponsored links during ecommerce Web searching," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(14), pages 1949-1961, December.
    5. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    6. Oliver J. Rutz & Michael Trusov & Randolph E. Bucklin, 2011. "Modeling Indirect Effects of Paid Search Advertising: Which Keywords Lead to More Future Visits?," Marketing Science, INFORMS, vol. 30(4), pages 646-665, July.
    7. Adan Ortiz‐Cordova & Bernard J. Jansen, 2012. "Classifying web search queries to identify high revenue generating customers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1426-1441, July.
    8. Kinshuk Jerath & Liye Ma & Young-Hoon Park & Kannan Srinivasan, 2011. "A "Position Paradox" in Sponsored Search Auctions," Marketing Science, INFORMS, vol. 30(4), pages 612-627, July.
    9. Bernd Skiera & Nadia Abou Nabout, 2013. "Practice Prize Paper ---PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising," Marketing Science, INFORMS, vol. 32(2), pages 213-220, March.
    10. Avi Goldfarb & Catherine Tucker, 2011. "Search Engine Advertising: Channel Substitution When Pricing Ads to Context," Management Science, INFORMS, vol. 57(3), pages 458-470, March.
    11. Song Yao & Carl F. Mela, 2011. "A Dynamic Model of Sponsored Search Advertising," Marketing Science, INFORMS, vol. 30(3), pages 447-468, 05-06.
    12. Oliver J. Rutz & Michael Trusov, 2011. "Zooming In on Paid Search Ads--A Consumer-Level Model Calibrated on Aggregated Data," Marketing Science, INFORMS, vol. 30(5), pages 789-800, September.
    13. Tat Y. Chan & Chunhua Wu & Ying Xie, 2011. "Measuring the Lifetime Value of Customers Acquired from Google Search Advertising," Marketing Science, INFORMS, vol. 30(5), pages 837-850, September.
    14. Zsolt Katona & Miklos Sarvary, 2010. "The Race for Sponsored Links: Bidding Patterns for Search Advertising," Marketing Science, INFORMS, vol. 29(2), pages 199-215, 03-04.
    15. Anindya Ghose & Sha Yang, 2009. "An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets," Management Science, INFORMS, vol. 55(10), pages 1605-1622, October.
    16. Animesh Animesh & Siva Viswanathan & Ritu Agarwal, 2011. "Competing “Creatively” in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance," Information Systems Research, INFORMS, vol. 22(1), pages 153-169, March.
    17. Sha Yang & Anindya Ghose, 2010. "Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence?," Marketing Science, INFORMS, vol. 29(4), pages 602-623, 07-08.
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