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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