THE ROLE OF ARTIFICIAL INTELLIGENCE IN CONTENT CREATION AND CHECKING ITS EFFECTIVENESS IN THE GOOGLE ADS ADVERTISING SYSTEM

Z. Somosi
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Abstract

n Hungary, 94% of businesses have Internet access and 63% have a website. Moreover, online retail sales will reach HUF 1,203 billion in 2021. In order for companies to achieve the largest possible market share, they can use various digital marketing strategies. They are distinguished according to different methods. One of the most commonly used in practice and in science is inbound (as search engine optimization) and outbound (as advertising). Google Ads, which emerged at the turn of the millennium and defined itself as the world’s first company to use machine learning technology, is a market leader. Their ad system was initially based on keywords, which have since been expanded to include more than 4,800 types of targeting criteria. These targeting options are available for a variety of ad formats. The digital solutions to the billboards of traditional marketing are banner ads, called Display on Google. These ads contain image, video, and text content and aim to interrupt the consumer’s activity and redirect them to the advertiser’s website. Since they are capable of increasing website traffic by up to 300%, this can be interpreted as an opportunity that is also considered favorable by businesses. It is also suitable for testing various content elements, as one of its main indicators, the click-through rate, expresses the relevance of the ad, as several researchers have noted. As the role of artificial intelligence grows, more and more companies are using it as a competitive advantage. Some of their algorithms are capable of generating text, images, videos, or other content. In this study, I leverage the power of display ads and conduct my research in the Google Ads system instead of conducting consumer surveys. I created two ads for the same target audience, with the same budget and settings. The text content for one ad was created by a marketer, the image content was created by a professional photographer, and the content elements for the other ad were provided by Artificial Intelligence. The objective of the article is to study the performance, efficiency, and impact of artificial intelligence-generated content on conversions under real market conditions. The study also includes content created by the players.
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人工智能在内容创造中的作用,并检查其在谷歌广告系统中的有效性
在匈牙利,94%的企业可以上网,63%的企业有网站。此外,到2021年,网上零售额将达到1.203万亿福林。为了让公司获得最大的市场份额,他们可以使用各种数字营销策略。根据不同的方法来区分它们。在实践和科学中最常用的一种是入站(搜索引擎优化)和出站(广告)。谷歌广告(Google Ads)出现在千禧年之交,自称是世界上第一家使用机器学习技术的公司,是市场的领导者。他们的广告系统最初是基于关键字的,后来扩展到包括4800多种目标定位标准。这些定位选项适用于各种广告格式。传统营销中广告牌的数字解决方案是横幅广告,称为谷歌显示。这些广告包含图像、视频和文本内容,旨在打断消费者的活动,并将他们重定向到广告商的网站。由于他们能够增加高达300%的网站流量,这可以被解释为一个机会,也被企业认为是有利的。它也适用于测试各种内容元素,因为它的主要指标之一,即点击率,表达了广告的相关性,正如一些研究人员所指出的那样。随着人工智能的作用越来越大,越来越多的公司将其作为竞争优势。他们的一些算法能够生成文本、图像、视频或其他内容。在这项研究中,我利用展示广告的力量,在谷歌广告系统中进行研究,而不是进行消费者调查。我用同样的预算和设置为同样的目标受众制作了两个广告。其中一则广告的文字内容由营销人员创作,图片内容由专业摄影师创作,另一则广告的内容元素由人工智能提供。本文的目的是研究在真实市场条件下,人工智能生成的内容对转换的性能、效率和影响。该研究还包括玩家创造的内容。
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