Today, companies choose to display their advertising content on Web pages, using all the resources that technology offers, whether through eye-catching images, animated images, and even videos. The objective is to ensure that the information not only reaches the public but that their ideas travel to target audiences, to people who can potentially consume your products or services. Thus, at present, technology has revolutionized digital marketing, having as greatest exponents of effectiveness to Web pages and social networks, where the information traffic generated by users is analyzed, for example, through trending topics. A clear example that has been observed in 2020 and 2021 were the trends that have shaken the world, such as COVID-19, changing the way any business or organization works, apart from its impact on health. However, brands, apart from seeking empathy with consumers, designed their advertising campaigns to increase their sales. This paper presents an algorithm for the identification and analysis of advertising patterns directed by some brands that have sought to increase their sales successfully, having as a message the awareness of its consumers through displaying content in banners and advertisements, and thus achieve the attention of users.
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