Investigation of Social Media Metrics With Respect to Demand Modeling for Promotional Products

ABSTRACT Social media (SM) has revolutionized the way companies connect with customers, enabling more personalized marketing strategies and enhancing engagement. With platforms like Facebook offering detailed user data, businesses can create more targeted advertising campaigns. This paper proposes an approach to categorizing SM variables based on their SM marketing objectives with respect to the demand modeling for promotional products, which is particularly challenging due to limited historical data. A taxonomy is developed of the Facebook marketing metrics that drive consumer behavior with respect to product demand. Moreover, the study explores how the SM marketing metrics groups impact short‐term demand modeling for promotional products in an analysis of a real case study and finds that paid Facebook metrics, which are generated from paid advertising efforts on the platform, are the best predictors of demand for their promotional products.

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Publication Details

Journal
Journal of Forecasting
Published
2025-10-29
DOI
https://doi.org/10.1002/for.70064
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigation of Social Media Metrics With Respect to Demand Modeling for Promotional Products

Naoufel Cheikhrouhou, Ari‐Pekka Hameri, Yvonne Badulescu, F. Cañas
Journal of Forecasting
Digital Marketing and Social Media
article

Investigation of Social Media Metrics With Respect to Demand Modeling for Promotional Products

Naoufel Cheikhrouhou, Ari‐Pekka Hameri, Yvonne Badulescu, F. Cañas
article en

Abstract

ABSTRACT Social media (SM) has revolutionized the way companies connect with customers, enabling more personalized marketing strategies and enhancing engagement. With platforms like Facebook offering detailed user data, businesses can create more targeted advertising campaigns. This paper proposes an approach to categorizing SM variables based on their SM marketing objectives with respect to the demand modeling for promotional products, which is particularly challenging due to limited historical data. A taxonomy is developed of the Facebook marketing metrics that drive consumer behavior with respect to product demand. Moreover, the study explores how the SM marketing metrics groups impact short‐term demand modeling for promotional products in an analysis of a real case study and finds that paid Facebook metrics, which are generated from paid advertising efforts on the platform, are the best predictors of demand for their promotional products.

Journal of ForecastingVol. 45(2)
HES-SO University of Applied Sciences and Arts Western Switzerland (CH), Universidad de Costa Rica (CR), University of Lausanne (CH)
National Science Foundation, Universität St. Gallen, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Haute école Spécialisée de Suisse Occidentale
Openalex Percentile: Top 59%
Digital Marketing and Social Media
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Investigation of Social Media Metrics With Respect to Demand Modeling for Promotional Products — Naoufel Cheikhrouhou, Ari‐Pekka Hameri, et al. · Journal of Forecasting (2025) | TGRS Research Map | TGRS