Targeting Using Augmented Data in Database Marketing
| Autor: | Bettina Hüttenrauch, geb. Krämer |
|---|---|
| EAN: | 9783658145774 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 10.06.2016 |
| Untertitel: | Decision Factors for Evaluating External Sources |
| Kategorie: | |
| Schlagworte: | Customer insights Customer segmentation Data fusion Data science Direct marketing |
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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.
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.
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.
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