Use-Case Study: Web Content Recommendations

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Use-Case Study: Web Content Recommendations

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Check out how Lytics customers are serving up relevant, personalized content with our Content Affinity Engine powering web-based content recommendations.

Company websites often have hundreds of pieces of content — blog posts, product pages, articles, reports and more — to educate customers and prospects. Problem is, when it comes to serving up content to visitors, marketing departments tend to make educated guesses based off of isolated engagement trends or take a one-size-fits-all approach. As a result, they often end up displaying content that is no longer relevant or displaying generic messaging to all of their visitors. What if you could present relevant content to visitors based on their unique affinities? And what if you could do this regardless of whether the person was known or browsing anonymously?

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