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Original
2026-01-01
Modified
2026-03-06
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<h3>Using AI and Machine Learning Technology to Target New Users</h3>
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<h2>About AI Arabiya</h2>
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<p>Insider’s Recommendation Engine, backed by powerful AI technology, enables marketers to make relevant recommendations based on users’ behavioural data and interests. These recommendations can be for anything, such as products, articles, videos and so on.</p>
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<p>Al Arabiya is a Saudi-owned pan-Arab television news channel broadcast in Modern Standard Arabic. Based in Dubai, the channel also focuses on distributing English content via different channels like web and social media. Through this content, Al Arabiya seeks to reach an international, non-Arab audience, as well as expatriates living in the Middle East and North Africa, in order to deepen the understanding of Arab societies, cultures and economies.</p>
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<p>It works for both new and existing users as brands can target AI-backed “lookalike” clusters of new visitors with interests that match those of existing users to deliver content based on their preferences.</p>
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<h5>Personalizing Content for New Users</h5>
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<p>Putting Insider’s AI tech and Recommendation Engine in use, Al Arabiya started experimenting with personalized content recommendations for all users who visited the article page.</p>
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<p>When Al Arabiya approached Insider, they were already working to engage existing users through personalized content. On desktop and mobile web, the brand was handpicking articles for existing users to read, but they wanted to explore the potential <b>to increase the number of pageviews and CTR of articles </b>by new users as well.</p>
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<p>For every article visited by existing users, Insider’s machine-learning algorithms gathered data to help recommend the most relevant articles to new users who displayed similar reading habits. Additionally, Insider worked to customize the onsite position of the recommended articles to increase the chances of a user clicking through to read them.</p>
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<p>They set a<b> goal to increase pageviews </b>by showing new users personalized content based on their preferences, interests and reading habits. As the users were new to the site, one of the challenges was identifying exactly what those interests and preferences were. This is where Insider stepped in.</p>
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<p>Insider’s Recommendation Engine didn’t just help Al Arabiya achieve their goal of increasing pageviews for new users, it also had a huge impact on the way that existing users interacted with the content, too. No longer did Al Arabiya need to manually ‘handpick’ articles for existing users. Implementing the Recommendation Engine meant that they were also able to serve existing users tailored content, as its Machine Learning algorithms adapted to the users’ behaviour and learnt about their preferences.</p>
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<h5>200% CTR Boost & More Than 1.75 Million Additional Pageviews</h5>
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<p>On mobile, the Recommendation Engine contributed to an uplift of <b>54% in CTR</b> for articles, resulting in an additional <b>974,387 pageviews</b>.On desktop, the Recommendation Engine delivered a major <b>CTR boost of 200%</b>, with <b>788,466 additional pageviews </b>recorded.</p>
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