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 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
