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Search Engine Visibility Indices Versus Visitor Traffic on Websites

  • Ralf-Christian HärtingEmail author
  • Maik Mohl
  • Philipp Steinhauser
  • Michael Möhring
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 255)

Abstract

“Search engine (optimization) visibility indices” or also called “SEO visibility indices” are a widespread and important key performance indicator in the SEO-Communities. SEO visibility indices show the overall visibility of a website regarding the search engine result page (SERP). Although search engine visibility indices are widespread as an important KPI, they are highly controversial regarding the aspect of a correlation between real website visitor traffic and search engine visibility indices. Furthermore, only a few online-publications examine this controversial aspect. Therefore, we designed a study, analyzing the correlation between organic visitor traffic and search engine visibility indices, the correlation amongst the indices themselves and the impact of Google Updates on the indices. The study is based on 32 websites of German enterprises from various business branches. Key findings imply that there is no high correlation between organic visitor traffic and search engine visibility indices, but a high correlation between the indices themselves. Furthermore, there is no identifiable pattern relating to the expected effect that Google Updates influence the search engine visibility indices.

Keywords

Search engine Visibility Indices Traffic Websites 

References

  1. 1.
    Berman, R., Katona, Z.: The role of search engine optimization in search marketing. Mark. Sci. 32(4), 644–651 (2011)CrossRefGoogle Scholar
  2. 2.
    Bughin, J., Chui, M., Manyika, J.: Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Q. 56(1), 75–86 (2010)Google Scholar
  3. 3.
    Clifton, B.: Advanced web metrics with Google Analytics, 3rd edn. Wiley Inc., Indianapolis (2012)Google Scholar
  4. 4.
    Cohen, J.: Set correlation and contingency tables. Appl. Psychol. Meas. 12(4), 425–434 (1988)CrossRefGoogle Scholar
  5. 5.
    Cooper, H.M.: Synthesizing research: a guide for literature reviews, vol. 2, 3rd edn. SAGE Publications Inc., New York City (1998)Google Scholar
  6. 6.
    Dou, W., Lim, K.H., Su, C., Zhou, N., Cui, N.: Brand positioning strategy using search engine marketing. MIS Q. 34(2), 261–279 (2010)Google Scholar
  7. 7.
    Drèze, X., Zufryden, F.: Measurement of online visibility and its impact on Internet traffic. J. Interact. Mark. 18(1), 20–37 (2004)CrossRefGoogle Scholar
  8. 8.
    Field, A.: Discovering statistics using IMB SPSS statistics, 4th edn. SAGE Publications Ltd., London (2013)Google Scholar
  9. 9.
    Gantz, J., Reinsel, D.: The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east (2012). http://www.emc.com/collateral/analyst-reports/idc-the-digital-universe-in-2020.pdf
  10. 10.
    Grefen, D., Straub, D.W.: The relative importance of perceived ease of use in IS adoption: a study of e-commerce adoption. J. Assoc. Inf. Syst. 1(1), 8 (2000)Google Scholar
  11. 11.
    Goodman, A.: Winning Results with Google AdWords, 2nd edn. McGraw-Hill, New York City (2009)Google Scholar
  12. 12.
    Härting, R., Steinhauser, P.: Insights of the German SEO-Community regarding the relevance of Search Engine Visibility Indices (2015). http://www.kmu-aalen.de/kmu-aalen/?page_id=169
  13. 13.
    International Telecommunication Union: ICT Facts and Figures 2014, (2014). http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2014-e.pdf
  14. 14.
    Kendall, M.G.: Rank Correlation Methods. Charles Griffin & Company Limited, London (1948)zbMATHGoogle Scholar
  15. 15.
    Kronenberg, H.: Wie wird der Sichtbarkeitsindex berechnet? (2013). http://www.sistrix.de/frag-sistrix/was-ist-der-sistrix-sichtbarkeitsindex/
  16. 16.
    Kumar, L., Kumar, N.: SEO technique for a website and its effectiveness in context of Google search engine. Int. J. Comput. Sci. Eng. (IJCSE) 2, 113–118 (2014)Google Scholar
  17. 17.
    Weinberg, L., Knapp, S., Abramowitz, S.: Exploring Relationships Between two Variables. Data Analysis for the Behavioral Sciences Using SPSS. Cambridge University Press, Cambridge (2002)Google Scholar
  18. 18.
    Lim, Y.S., Han, W.P.: How do congressional members appear on the web? Tracking the web visibility of South Korean politicians. Govern. Inf. Q. 28(4), 514–521 (2011)CrossRefGoogle Scholar
  19. 19.
    Maynes, R., Everdell, I.: The Evolution of Google Search Results Pages and Their Effects On User Behaviour (2014). http://www.mediative.com/whitepaper-the-evolution-of-googles-search-results-pages-effects-on-user-behaviour/
  20. 20.
    McCullough, B.D., Wilson, B.: On the accuracy of statistical procedures in Microsoft Excel 2003. Comput. Stat. Data Anal. 49(4), 1244–1252 (2005)MathSciNetCrossRefzbMATHGoogle Scholar
  21. 21.
    McGee, M.: Winners & Losers As Panda 2.0 Goes Global? eHow, Bing’s Ciao.co.uk & More (2011). http://searchengineland.com/winners-losers-panda-goes-global-ehow-bings-ciao-more-72895
  22. 22.
    Miles, J., Shevlin, M.: Applying regression and correlation: a guide for students and researchers. SAGE Publications Ltd., London (2001)Google Scholar
  23. 23.
    Missfeldt, M.: Case Study: Sichtbarkeitsindex und Traffic im Vergleich (2013). http://www.tagseoblog.de/case-study-sichtbarkeitsindex-und-traffic-im-vergleich
  24. 24.
    Rivera J., Meulen, R.V.D.: Gartner Survey Reveals Digital Marketing Budgets Will Increase by 8 Percent in 2015, (2014). http://www.gartner.com/newsroom/id/2895817
  25. 25.
    Roebuck, K.: Web Analytics: High-impact Strategies -What you need to know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors. Emereo Publishing, Brisbane (2012)Google Scholar
  26. 26.
    Schmidt, R., Möhring, M., Härting, R.-C., Reichstein, C., Neumaier, P., Jozinović, P.: Industry 4.0 - potentials for creating smart products: empirical research results. In: Abramowicz, W. (ed.) BIS 2015. LNBIP, vol. 208, pp. 16–27. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  27. 27.
    Schmidt-Mänz, N., Gaul, W.: Measurement of Online Visibility. In: Ahr, D., Fahrion, R., Oswald, M., Reinelt., G. (ed.) Operations Research Proceedings 2003, pp. 205–212. Springer, Berlin Heidelberg (2004)CrossRefGoogle Scholar
  28. 28.
    Schmidt-Mänz, N., Gaul, W.: Web mining and online visibility. In: Weihs, C., Gaul, W. (eds.) Classification - the Ubiquitous Challenge. Studies in Classification, Data Analysis, and Knowledge Organization, pp. 418–425. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  29. 29.
    Schroeder, B.: Publicizing your program: website evaluation. Des. Mark. Stratge. AACE J. 15(4), 437–471 (2007)Google Scholar
  30. 30.
    SEOlytics GmbH: SEO Software for Professionals (2015). http://www.seolytics.com/
  31. 31.
    SISTRIX GmbH: The secret of successful Websites (2015). http://www.sistrix.com
  32. 32.
    Statista Inc.: Worldwide market share of leading search engines from January 2010 to January 2015 (2015). http://www.statista.com/statistics/216573/worldwide-market-share-of-search-engines/
  33. 33.
    Statisticbrain LLC: Google Annual Search Statistics (2015). http://www.statisticbrain.com/google-searches/
  34. 34.
    Tober, M.: Update: Google “Bad” SEO Update - Now named Penguin Update (2012). http://blog.searchmetrics.com/us/2012/04/25/google-bad-seo-update-a-first-earthquake-on-the-short-head/
  35. 35.
    XOVI GmbH: SEO and Social Monitoring made in Germany (2015). http://www.xovi.com/
  36. 36.
    Zikmund, W., Babin, B., Carr, J., Griffin, M.: Business Research Methods, 9th edn. South-Western College Pub, Nashville (2012)Google Scholar
  37. 37.
    Gruen, T.W., Summers, J.O., Acito, F.: Relationship marketing activities, commitment, and membership behaviors in professional associations. J. Mark. 64(3), 34–49 (2000)CrossRefGoogle Scholar
  38. 38.
    Killoran, J.B.: How to use search engine optimization techniques to increase website visibility. IEEE Trans. Prof. Commun. 56(1), 50–66 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ralf-Christian Härting
    • 1
    Email author
  • Maik Mohl
    • 2
  • Philipp Steinhauser
    • 1
  • Michael Möhring
    • 1
  1. 1.Aalen University of Applied Science, Competence Center for Information Systems in SMEAalenGermany
  2. 2.Metamove GmbHMunichGermany

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