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Targeting Using Augmented Data in Database Marketing
Details
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.
Includes supplementary material: sn.pub/extras
Autorentext
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783658145767
- Auflage 1st ed. 2016
- Sprache Englisch
- Genre Economy
- Lesemotiv Verstehen
- Größe H22mm x B149mm x T214mm
- Jahr 2016
- EAN 9783658145767
- Format Kartonierter Einband
- ISBN 978-3-658-14576-7
- Titel Targeting Using Augmented Data in Database Marketing
- Autor Bettina Hüttenrauch
- Untertitel Decision Factors for Evaluating External Sources
- Gewicht 474g
- Herausgeber Springer Fachmedien Wiesbaden
- Anzahl Seiten 343