April 4, 2024, 4:42 a.m. | Javier Marin

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.02175v1 Announce Type: cross
Abstract: Comprehending how consumers react to advertising inputs is essential for marketers aiming to optimize advertising strategies and improve campaign effectiveness. This study examines the complex nature of consumer behaviour by applying theoretical frameworks derived from physics and social psychology. We present an innovative equation that captures the relation between spending on advertising and consumer response, using concepts such as symmetries, scaling laws, and phase transitions. By validating our equation against well-known models such as the …

abstract advertising arxiv campaign consumer consumers cs.lg dynamics framework frameworks inputs marketers marketing nature physics physics.soc-ph psychology q-fin.gn react social statistical strategies study type

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Autonomy Applications

@ BHP | Chile

Quant Analytics Associate - Data Visualization

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India