| Title of paper:
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A reply to Madera et al.'s "A method for optimizing a bidding strategy for online advertising through the use of intuitionistic fuzzy systems"
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| Author(s):
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| Jan Tappé
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| Faculty of Law and Business Sciences, Universidad Católica San Antonio de Murcia, 30107 Guadalupe, Spain
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| privat@jantappe.de
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| Hendrik Müller
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| Hochschule Fresenius onlineplus, 20148 Hamburg, Germany
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| hendrik.mueller@hs-fresenius.de
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| Published in:
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Notes on Intuitionistic Fuzzy Sets, Volume 28 (2022), Number 1, pages 46–50
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| DOI:
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https://doi.org/10.7546/nifs.2022.28.1.46-50
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| Download:
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 PDF (738 Kb, File info)
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| Abstract:
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In 2016, Madera et al. tested the performance of a fuzzy inference system against the Google Ads algorithms for optimizing the number of clicks, the click through rate (CTR) and the average cost per clicks to lower the cost of an advertising campaign [7]. The results of their experiments suggested that the implementation of their fuzzy inference system outperformed the Google Ads algorithms in terms of the obtained number of clicks and cost per clicks. While the research idea is with no doubts an interesting and valuable contribution to the fields of digital marketing research, in the opinion of the authors, their experimental setup was flawed. However, applying a few adjustments can lead to valid findings. This paper reflects on the flaws and suggests enhancements to correct them.
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| Keywords:
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Fuzzy logic, Online advertising, Google ads.
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| AMS Classification:
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03B52
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