“Content is King.” You have probably heard this line a million times before. After the Internet exploded and just about anyone who wasn’t “anonymous” became considered a reliable source online, data creation skyrocketed. “Information overload” is defined as “stress induced by reception of more information than is necessary to make a decision (or that can be understood and digested in the time available).” Translation? When you can’t find what you need on the web, it creates stress.
This overload of information was one of the core problems Baynote’s founders sought to solve. In 2005, we began by offering companies a solution for onsite search and content recommendations. Later, we deployed product recommendations, but we cut our teeth in search and content recommendations.
Based on advanced algorithms, content recommendations provide personalized experiences to anyone trying to find products or information on your site. For a shoe retailer, content recommendations can help shoppers engage with your products. But for a company with a self-service library of information like Kaiser, Netsuite or Harvard Business Review, the ability to offer improved navigation can be the difference between your customer helping themselves or making an expensive call to a live person in your support center.
Content recommendations can include any type of asset – documents, books, self-help, video recommendations and more. By automating the process and offering what the visitor is looking for, companies also benefit from machine learning which offers up only that content found to be most useful to previous users, curating content for you automatically.