Personalized content recommendations can increase user engagement by 60%. Users are more likely to interact with content that aligns with their interests and preferences. Such personalization will keep them returning to your website. Content personalization is the process of using content recommendation networks to get advertisements that are relevant to blog or website. At the very least, it can provide your consumers with general recommendations on the popularity of content. AI-powered content recommendation engines can be trained to provide more personal recommendations to your website or blog visitors. This ensures that the advertisements you offer are relevant and exciting. You can also use this technology to get eyes on the best editorial content on your website. It is like having a salesman trained in AI and machine learning recommending your content to your consumers. Yet how will you find this technology? Content recommendation networks are your answer.
74% of users feel frustrated when website content is not personalized. On the other hand, 80% of users are more likely to do business with a company that offers personalized experiences. Sites with effective content recommendations see a 15% reduction in bounce rates, thus ensuring higher revenue rates for publishers.
Setupad is one of the best website monetization platforms to increase ad revenue for publishers. Enjoy superior client support and have access to top SSPs.
Offering content recommendations, Taboola offers ways to monetize with the largest sponsored content marketplace in the industry and helps achieve greater monetization with their seamless, non-intrusive experiences.
Google AdSense is a contextual advertising network that helps publishers monetize their websites with global fills. It offers one of the best CPC rates for niche blogs and websites. AdSense is the go-to advertising network for all entry-level publishers.
Offering the industry defining suite of technology and content recommendation, Outbrain offers a customizable and dynamic recommendation experience that engages audience and can be tailored according to your business goals.
EngageYa assists publishers to find new readers for their content by targeting diverse reader segments, markets and niches, with over 40 billion monthly recommendations. Their customizable widget generates user-specific content suggestions that natively integrates with your pages to offer a seamless experience. EngageYa also gives publishers the flexibility to self-manage their ad inventory to extend their revenue potential.
Yet not, any customer recommendation network will give you all these benefits. The market is saturated with these products, and you must pick the best one suited to your needs and content. This will ensure the best results.
Need help in picking the customer recommendation network most suited to your content and needs? We are here to help. Publisher Growth has just one aim- to help publishers monetize their content. If you are still looking for the right content recommendation network to personalize the advertisements on your content, we can help. We will find the perfect partner for you. Sign up with Publisher Growth here.
Content-based recommendations use content recommendation engines to analyse data. They analyse this AI and machine learning data to give your consumers a personalized experience.
Content recommendation is the process of suggesting editorial content and advertisements that are relevant to your consumers’ interests.
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