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

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York