Advanced Predictive Modelling of Movie Gross By Exploring Numerical and Categorical Data for Box Office Forecasting

The film industry has increasingly relied on data-driven insights to maximize profitability and minimize financial risk. Accurate predictions of movie gross are essential for producers, distributors and investors to make informed decisions regarding project financing and marketing strategies. Understanding the factors influencing box office performance is vital for the successful positioning of films in a competitive market.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-03
DOI
https://doi.org/10.5281/zenodo.14959795
Primary Topic
Cinema and Media Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced Predictive Modelling of Movie Gross By Exploring Numerical and Categorical Data for Box Office Forecasting

Zenodo (CERN European Organization for Nuclear Research)
Cinema and Media Studies
article

Advanced Predictive Modelling of Movie Gross By Exploring Numerical and Categorical Data for Box Office Forecasting

article en

Abstract

The film industry has increasingly relied on data-driven insights to maximize profitability and minimize financial risk. Accurate predictions of movie gross are essential for producers, distributors and investors to make informed decisions regarding project financing and marketing strategies. Understanding the factors influencing box office performance is vital for the successful positioning of films in a competitive market.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Cinema and Media Studies
DOIOpen Access PDFOpenAlex
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Advanced Predictive Modelling of Movie Gross By Exploring Numerical and Categorical Data for Box Office Forecasting · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS