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A longitudinal analysis of web surf history to maximise the effectiveness of behavioural targeting techniques

Author

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  • Jason K. Deane
  • Thomas Meuer
  • Jay M. Teets

Abstract

Yearly revenue generation for the online advertising industry has increased exponentially from approximately $7 billion in 2001 to approximately $23 billion in 2008. This rapid growth in revenue has spawned a very competitive online advertisement publishing industry. Ad publishers are paid to deliver ads to potential online customers in an attempt to influence their buying patterns and purchasing decisions. Eager to gain market share, online advertisement publishers are constantly attempting to improve their ability to efficiently target ads to interested online consumers and web surfers. While analysing users' web surf history is one of the most popular methods of gaining this type of actionable information, the potential value of this information is unclear as one moves further back in time in analysing a user's historical data. The purpose of this research is to gain insight into what time frame of a user's surf history is useful. In this paper, we provide a detailed longitudinal application analysis of OAWSH, a powerful behavioural targeting technique, in an effort to determine the optimal range of web surfing time upon which organisations should base their advertisement targeting decisions.

Suggested Citation

  • Jason K. Deane & Thomas Meuer & Jay M. Teets, 2011. "A longitudinal analysis of web surf history to maximise the effectiveness of behavioural targeting techniques," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 4(2/3), pages 117-128.
    • Handle: RePEc:ids:ijemre:v:4:y:2011:i:2/3:p:117-128
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