-
Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012)
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- Abstract
- Traffic from search engines is important for most online businesses, with the majority of visitors to many websites being referred by search engines. Therefore, an understanding of this search engine traffic is critical to the success of these websites. Understanding search engine traffic means understanding the underlying intent of the query terms and the corresponding user behaviors of searchers submitting keywords. In this research, using 712,643 query keywords from a popular Spanish music website relying on contextual advertising as its business model, we use a k-means clustering algorithm to categorize the referral keywords with similar characteristics of onsite customer behavior, including attributes such as clickthrough rate and revenue. We identified 6 clusters of consumer keywords. Clusters range from a large number of users who are low impact to a small number of high impact users. We demonstrate how online businesses can leverage this segmentation clustering approach to provide a more tailored consumer experience. Implications are that businesses can effectively segment customers to develop better business models to increase advertising conversion rates.
- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1426-1441
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Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.14, S.1875-1887
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Jansen, B.J.; Spink, A.; Koshman, S.: Web searcher interaction with the Dogpile.com metasearch engine (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.744-755
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Jansen, B.J.; Spink, A.; Blakely, C.; Koshman, S.: Defining a session on Web search engines (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.862-871
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Jansen, B.J.; Pooch , U.: ¬A review of Web searching studies and a framework for future research (2001)
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- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.3, S.235-246
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Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.559-570
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Jansen, B.J.; Molina, P.R.: ¬The effectiveness of Web search engines for retrieving relevant ecommerce links (2006)
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- Source
- Information processing and management. 42(2006) no.4, S.1075-1098
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Spink, A.; Jansen, B.J.; Blakely, C.; Koshman, S.: ¬A study of results overlap and uniqueness among major Web search engines (2006)
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- Source
- Information processing and management. 42(2006) no.5, S.1379-1391
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Spink, A.; Jansen, B.J.; Pedersen , J.: Searching for people on Web search engines (2004)
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- Source
- Journal of documentation. 60(2004) no.3, S.266-278
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Spink, A.; Park, M.; Jansen, B.J.; Pedersen, J.: Elicitation and use of relevance feedback information (2006)
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- Source
- Information processing and management. 42(2006) no.1, S.264-275
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Jansen, B.J.; Spink, A.: How are we searching the World Wide Web? : A comparison of nine search engine transaction logs (2006)
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- Source
- Information processing and management. 42(2006) no.1, S.248-263
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Jansen, B.J.; Zhang, M.; Schultz, C.D.: Brand and its effect on user perception of search engine performance (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.8, S.1572-1595
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Tjondronegoro, D.; Spink, A.; Jansen, B.J.: ¬A study and comparison of multimedia Web searching : 1997-2006 (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.9, S.1756-1768
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Spink, A.; Wolfram, D.; Jansen, B.J.; Saracevic, T.: Searching the Web : the public and their queries (2001)
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- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.3, S.226-234
