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Targeting Using Augmented Data in Database Marketing = Decision Factors for Evaluating External Sources /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Targeting Using Augmented Data in Database Marketing/ by Bettina Hüttenrauch.
其他題名:
Decision Factors for Evaluating External Sources /
作者:
Hüttenrauch, Bettina.
面頁冊數:
XXII, 343 p. 49 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Marketing. -
電子資源:
https://doi.org/10.1007/978-3-658-14577-4
ISBN:
9783658145774
Targeting Using Augmented Data in Database Marketing = Decision Factors for Evaluating External Sources /
Hüttenrauch, Bettina.
Targeting Using Augmented Data in Database Marketing
Decision Factors for Evaluating External Sources /[electronic resource] :by Bettina Hüttenrauch. - 1st ed. 2016. - XXII, 343 p. 49 illus.online resource.
Introduction and strategic motivation to data augmentation in database marketing -- Literature review on data augmentation -- Methodological framework for data augmentation -- Test design for evaluating different source characteristics -- Analysis of data augmentation KPIs, case study results and test of hypotheses -- Limitations of data augmentation and outlook.
This study delivers insights on which external sources – e.g. website click behavior, surveys, or social media data – can and cannot be used for data augmentation. A case study is performed to test the suitability of different sources in order to create a generalized practical guide for data augmentation in marketing. Data augmentation is a beneficial tool for companies to use external data, if the internal data basis for targeting is not sufficient to reach the customers with the highest propensity. This study shows that augmenting data from feasible sources leads to significant conversion lifts. Contents • Introduction and strategic motivation to data augmentation in database marketing • Literature review on data augmentation • Methodological framework for data augmentation • Test design for evaluating different source characteristics • Analysis of data augmentation KPIs, case study results and test of hypotheses • Limitations of data augmentation and outlook Target Groups • Researchers and students in the area of CRM, data science, database marketing, and direct marketing • Practicioners in the area of CRM, data science, database marketing, and direct marketing The Author Dr. Bettina Hüttenrauch obtained her doctorate degree at the Johannes Gutenberg Universität Mainz. She currently works as a project manager at a German airline and is responsible for building up the "Analytics Factory" for an advanced analytics program.
ISBN: 9783658145774
Standard No.: 10.1007/978-3-658-14577-4doiSubjects--Topical Terms:
557931
Marketing.
LC Class. No.: HF5410-5417.5
Dewey Class. No.: 658.8
Targeting Using Augmented Data in Database Marketing = Decision Factors for Evaluating External Sources /
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Introduction and strategic motivation to data augmentation in database marketing -- Literature review on data augmentation -- Methodological framework for data augmentation -- Test design for evaluating different source characteristics -- Analysis of data augmentation KPIs, case study results and test of hypotheses -- Limitations of data augmentation and outlook.
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