Monetize Data Based on User-Generated Content Digital Marketing Strategy Research

Xiaoxiao Ge, Ziyou Liu

2025

Abstract

With the rise of social media and digital platforms, user generated content has become an important asset for brand marketing. Through incentive mechanisms, creative support, content innovation, and other means, enterprises fully tap into the potential of UGC, promote interaction between brands and users, and realize the transformation of data value. I hope to provide a new marketing strategy for enterprises, which is to achieve high-value digital marketing through refined UGC strategies and optimize brand market performance. This article focuses on the audience group, incentive mechanism, creative support, content innovation, and differentiation of UGC, and analyzes how to promote the creation and dissemination of user content through digital marketing methods, thereby improving the brand's market penetration and commercial revenue. Reasonable incentive mechanisms and innovative content creation support are conducive to improving the quality of UGC creation and user engagement. Differentiated content strategies can make brands stand out in a fiercely competitive market. Enterprises should attach importance to the potential of UGC, comprehensively enhance the creation, dissemination, and monetization capabilities of UGC content, and bring sustained market competitiveness to brands.

Paper Citation

in Harvard Style

Ge X. and Liu Z. (2025). Monetize Data Based on User-Generated Content Digital Marketing Strategy Research. In Proceedings of the 2nd International Conference on Applied Psychology and Marketing Management - Volume 1: APMM; ISBN 978-989-758-791-7, SciTePress, pages 775-782. DOI: 10.5220/0014280500004942

in Bibtex Style

@conference{apmm25,
author={Xiaoxiao Ge and Ziyou Liu},
title={Monetize Data Based on User-Generated Content Digital Marketing Strategy Research},
booktitle={Proceedings of the 2nd International Conference on Applied Psychology and Marketing Management - Volume 1: APMM},
year={2025},
pages={775-782},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014280500004942},
isbn={978-989-758-791-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Applied Psychology and Marketing Management - Volume 1: APMM
TI - Monetize Data Based on User-Generated Content Digital Marketing Strategy Research
SN - 978-989-758-791-7
AU - Ge X.
AU - Liu Z.
PY - 2025
SP - 775
EP - 782
DO - 10.5220/0014280500004942
PB - SciTePress