Skip to main navigation Skip to search Skip to main content

Applying Bayesian Parameter Estimation to A/B Tests in e-Business Applications: Examining the Impact of Green Marketing Signals in Sponsored Search Advertising

  • Tobias-Benedikt Blask

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

    2 Citations (Scopus)

    Abstract

    We develop and perform a non reactive A/B-test setting that enables us to evaluate the influence of green marketing signals on the customer's decision to take a specific online-shop into account in the process of buying a specific product by clicking on an ad on a search engine results page (SERP). We analyze campaign performance data generated by a European e-commerce retailer, apply a Bayesian parameter estimation to compare specific advertisements and discuss the implications of the results.
    Original languageEnglish
    Title of host publicationDCNET 2013 ICE-B 2013 OPITICS 2013 ICETE 2013 : Proceedings of the 4th International Conference on Data Communication Networking, 10th International Conference on e-Business and 4th International Conference on Optical Communication
    EditorsMohammad S. Obaidat
    Number of pages8
    PublisherScience and Technology Publications, Lda (SciTePress)
    Publication date01.01.2013
    Pages312-319
    ISBN (Print)978-989856572-3
    DOIs
    Publication statusPublished - 01.01.2013
    Event10th International Joint Conference on E-Business and Telecommunications - ICETE 2013 - Reykjavik, Iceland
    Duration: 29.07.201331.07.2013
    Conference number: 10
    http://www.icete.org/Program/2013/Program_Monday.htm

    Research areas and keywords

    • Economics
    • A/b testing
    • Bayesian parameter estimation
    • Bayesian statistics
    • Paid search advertising
    • Sponsored search

    Fingerprint

    Dive into the research topics of 'Applying Bayesian Parameter Estimation to A/B Tests in e-Business Applications: Examining the Impact of Green Marketing Signals in Sponsored Search Advertising'. Together they form a unique fingerprint.

    Cite this