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The Improvement of Retargeting by Big Data: a Decision Support that Threatens the Brand Image?

Abstract : With the emergence of Big Data and the increasing market penetration of ad retargeting advertising, the advertising industry's interest in using this new online marketing method is rising. Retargeting is an innovative technology based on Big Data. People who have gone to a merchant site and window-shopped but not purchased can be re-pitched with the product they showed an interest in. Therefore click rates and conversion rates are dramatically enhancing by retargeting. However, in spite of the increasing number of companies investing in retargeting, there is little academic research on this topic. In this paper we explore the links between retargeting, perceived intrusiveness and brand image. As results show the importance of perceived intrusiveness, ad repetition and ad relevance, we introduce new analytical perspectives on online strategies with the goal of facilitating collaboration between consumers and marketers.
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Contributor : Maria Mercanti-Guerin Connect in order to contact the contributor
Submitted on : Friday, November 27, 2020 - 3:48:04 PM
Last modification on : Wednesday, September 28, 2022 - 4:19:02 PM
Long-term archiving on: : Sunday, February 28, 2021 - 7:29:17 PM


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  • HAL Id : hal-03027981, version 1


Maria Mercanti-Guérin. The Improvement of Retargeting by Big Data: a Decision Support that Threatens the Brand Image?. European Journal of Marketing and Economics, 2020, 3 (3), pp.49-59. ⟨hal-03027981⟩



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