Cross-Channel Real-Time Response Analysis

Publikation: Beiträge in SammelwerkenAufsätze in SammelwerkenTransfer

Authors

Programmatic Advertising allows advertisers to bid for single advertising impressions, i.e., each time a user visits a website advertisers can decide whether they would like to bid for the opportunity to being displayed to that specific user and at what price. Programmatic Advertising, which emerged around 2009, thereby comes with a huge amount of data that can be used for decision making purposes (e.g., bidding). This article will provide an overview of the two fundamental decision making fields in Programmatic Advertising: budget allocation across the media mix and micro decision making in Programmatic Advertising ad auctions at the individual user-level. In this article, we outline state of the art modeling techniques used in both decision making areas as well as the specific challenges faced by analysts when developing models. In addition, we present common heuristics used by practitioners and potential drawbacks related to the use of heuristics vs. statistical models.
OriginalspracheEnglisch
TitelProgrammatic Advertising : The Successful Transformation to Automated, Data-Driven Marketing in Real-Time
HerausgeberOliver Busch
Anzahl der Seiten11
VerlagSpringer
Datum2016
Seiten141-151
ISBN (Print)978-3-319-25021-2
ISBN (elektronisch)978-3-319-25023-6
DOIs
PublikationsstatusErschienen - 2016

    Fachgebiete

  • Wirtschaftsinformatik - Marketing, Data Mining and Knowledge Discovery, IT in Business, Media Management

DOI