Writing an ad text that attracts people and persuades them to click or act is essential for the success of search engine advertising. Therefore, ad creators must consider various aspects of advertising appeals (A3) such as the price, product features, and quality. However, products and services exhibit unique effective A3 for different industries. In this work, we focus on exploring the effective A3 for different industries with the aim of assisting the ad creation process. To this end, we created a dataset of advertising appeals and used an existing model that detects various aspects for ad texts. Our experiments demonstrated that different industries have their own effective A3 and that the identification of the A3 contributes to the estimation of advertising performance.
@article{arxiv.2204.11445,
title = {Aspect-based Analysis of Advertising Appeals for Search Engine Advertising},
author = {Soichiro Murakami and Peinan Zhang and Sho Hoshino and Hidetaka Kamigaito and Hiroya Takamura and Manabu Okumura},
journal= {arXiv preprint arXiv:2204.11445},
year = {2022}
}