Forecasting roas in Google ADS: machine learning approach
Azimova, Aydan (A.A. 2021/2022) Forecasting roas in Google ADS: machine learning approach. Tesi di Laurea in Artificial intelligence in marketing, Luiss Guido Carli, relatore Luigi Laura, pp. 49. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Literature review. Methodology. Classification algorithms. Discussion. Managerial implications. Limitations.
References
Bibliografia: pp. 44-49.
Thesis Type: | Master's Degree Thesis |
---|---|
Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
Chair: | Artificial intelligence in marketing |
Thesis Supervisor: | Laura, Luigi |
Thesis Co-Supervisor: | Villarroel Ordenes, Francisco Javier |
Academic Year: | 2021/2022 |
Session: | Extraordinary |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 13 Sep 2023 13:49 |
Last Modified: | 13 Sep 2023 13:49 |
URI: | https://tesi.luiss.it/id/eprint/36430 |
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