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 (A$^3$) such as the price, product features, and quality. However, products and services exhibit unique effective A$^3$ for different industries. In this work, we focus on exploring the effective A$^3$ 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 A$^3$ and that the identification of the A$^3$ contributes to the estimation of advertising performance.
翻译：因此,广告创作者必须考虑广告呼吁的各个方面(3美元),例如价格、产品特点和质量,然而,产品和服务为不同行业展示出独特的有效A$3美元。在这项工作中,我们侧重于探索不同行业的有效A$3美元,目的是协助创建过程。为此目的,我们创建了一个广告呼吁数据集,并使用一种现有模型来检测广告文本的各个方面。我们的实验表明,不同行业拥有自己的有效A$3美元,确定A$3美元有助于估计广告绩效。
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