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Online Advertisement Using Web Analytics Software: A Comparison Using AHP Method
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Author(s): Manu Sharma (Advertising and Marketing Area, School of Management, Doon University, India)and Sudhanshu Joshi (Operations and Supply Chain Area, School of Management, Doon University, India)
Copyright: 2020
Volume: 7
Issue: 2
Pages: 21
Source title:
International Journal of Business Analytics (IJBAN)
Editor(s)-in-Chief: John Wang (Montclair State University, USA)
DOI: 10.4018/IJBAN.2020040102
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Abstract
This article describes a analytic-hierarchy-process (AHP) application to identify and evaluate the best online advertising analytics software. This technique is multi-criteria and used in this study by comparing the top four web advertising analytics software. AHP uses pair-wise comparison of matrices. There are six criteria identified for evaluation: Ad scheduling, ad targeting, creative banner rotation, features, performance, cost and for each criterion, a matrix of pair-wise comparison with web-analytics software i.e. Google analytics, Accenture Analytics, Funnel and, Moat Analytics were evaluated. AHP is an effective method for multi-objective decision-making, and optimization. Thus, it helps web advertisers to evaluate the existing web advertising analytics software for posting their web advertisements.
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