AI-Powered Transformation in Advertising: A Case Study of LoopMe

DOI

10.2991/978-2-38476-523-2_43How to use a DOI?

Keywords

AI-powered Advertising; LoopMe; Real-time Optimization; Programmatic Advertising; Generative AI

Abstract

This paper takes the advertising technology company LoopMe as a case study to explore the enabling pathways and practical outcomes of artificial intelligence technology in the advertising industry. By analyzing its AI advertising product ecosystem, core technological engines, and cross-industry application cases, the study reveals LoopMe’s core advantages in areas such as precise targeting, real-time optimization, creative generation, and traffic integration. At the same time, the article also points out the challenges it faces in data privacy, technological iteration, and market competition, while offering prospects for future technological development and industry collaboration. This provides both theoretical and practical references for AI-driven transformation in advertising.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rongyue Gaoli
PY  - 2025
DA  - 2025/12/29
TI  - AI-Powered Transformation in Advertising: A Case Study of LoopMe
BT  - Proceedings of the 5th International Conference on New Media Development and Modernised Education (NMDME 2025)
PB  - Atlantis Press
SP  - 407
EP  - 417
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-523-2_43
DO  - 10.2991/978-2-38476-523-2_43
ID  - Gaoli2025
ER  -