Music marketing in Brazil: regional consumption, acoustic features and strategy optimization on Spotify
Capaccio, Gianvito (A.A. 2024/2025) Music marketing in Brazil: regional consumption, acoustic features and strategy optimization on Spotify. Tesi di Laurea in Statistics for marketing, Luiss Guido Carli, relatore Francesco Salate Santone, pp. 104. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Problem statement and literature review. Introduction to music marketing in the streaming era. The Brazilian music market in the Spotify era. Trend prediction and music analytics on Spotify. Spotify audio features and listener behavior. Regional music preferences and geospatial analytics. Algorithmic influence on music discovery and marketing. Gap analysis: what existing literature misses. Contribution of this thesis: regionalized acoustic insights for marketing on Spotify. Dataset description and methodology. Dataset overview and collection strategy. Data cleaning and filtering criteria. Audio feature retrieval via Spotify API. Dataset consolidation and scope definition. Descriptive analysis of the cleaned dataset. Methodological considerations for analysis. Research objective and dataset description. Preprocessing and prior work. Rationale for clustering and geographic interpretation. Data cleaning and preprocessing. Retention of duplicate observations. Temporal filtering. Handling missing values. Deriving the hit_type variable. Classification of song popularity. The logic behind hit classification. Distribution of hit types. Analytical role of hit_type. Acoustic feature comparison between local and regional hits. Geographic distribution of hit types. Clustering and interpretation through hit composition. Acoustic feature profiling across clusters. Modeling the likelihood of city appearance per cluster. Visualizing cluster–city patterns. Commentary on modeling logic and reliability. Web application development using shiny for cluster and city prediction. Real-world applications and marketing campaigns.
References
Bibliografia: p. 66.
| 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: | Statistics for marketing |
| Thesis Supervisor: | Salate Santone, Francesco |
| Thesis Co-Supervisor: | Pelaez Martinez, Andrea |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 08 Jan 2026 14:10 |
| Last Modified: | 08 Jan 2026 14:10 |
| URI: | https://tesi.luiss.it/id/eprint/44631 |
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