Factores mercadológicos utilizados por las organizaciones de producción cinematográfica mexicanas (OPCM) y su impacto en los ingresos en taquilla: caso de estudio Área Metropolitana de Nuevo León
Bibliographic record
Abstract
Abstract. This document is intended to capture the marketing factors impact in the spectator purchase decisions of ticket at the box office in Monterrey and it metropolitan area, thereby increasing the income of the Mexican Motion Pictures Production Organizations (OPCM). Reference is made to the Mexican booming film industry of the 40´s generating economic and cultural wealth. We analyze the recent performance of Mexican and U.S. cinema referencing to the years from 2002 to 2007. We discuss some factors that can be used as supportingtools for marketing by de OPCM in their productions, such as special effects, enhancing the club effect, merchandising, genre and film classification, as well as the release date. We study in detail the marketing main factors used by the OPCM: advertising, critics, talent, recommendations and availability in theaters; and through the application of a poll and a linear regression analysis, we determine the impact of these on box office revenues.Keywords: advertizing, availability in theaters, critics, pictures, recommendations, talentResumen. El presente documento tiene como finalidad plasmar el impacto que tienen los factores mercadológicos en las decisiones de compra de un boleto en taquilla por parte de los espectadores de Monterrey y su área metropolitana; incrementando así los ingresos de las Organizaciones de Producción Cinematográficas Mexicanas (OPCM). Se hace referencia a la pujante industria cinematográfica mexicana de los años 40 generadora de riquezas económicas y culturales. Se analiza el desempeño reciente del cine mexicano y estadounidense tomando como referencia los años comprendidos del 2002 al 2007. Se comentan algunos factores que pueden emplearse como herramientas de apoyo al marketing por parte de las OPC en sus producciones, como lo son los efectos especiales, potenciar el efecto club, merchandising, la clasificación y el género del film y la fecha de estreno. Se estudian detalladamente los principales factores mercadológicos utilizados por las OPC: publicidad, crítica, talento, recomendaciones y disponibilidad en cartelera; y mediante la aplicación de una encuesta y un análisis de regresión lineal, se determina el impacto queéstos tienen en los ingresos en taquilla.Palabras clave: crítica, disponibilidad en taquilla, películas, publicidad, recomendacionestalento
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".