RAMP Enables Automated Contextual Videos With Launch of MetaQ

One of the main things content providers can do to create rich user experiences is present contextualized content that relates to the underlying article or video. This is why so many content sites have "Read More," "You Might Also Enjoy" and "Also View" type sections. They help content providers increase users' time spent (which drives monetization), build loyalty and create competitive barriers.

As the library of video assets many content providers have has exploded, it has become virtually impossible for their editors to manually select contextual videos for a newly posted clip, and then subsequently keep them updated. What's required is an automated system that intelligently associates archived videos with new ones based on pre-set, customized rules. Importantly, the system has to be able to massively scale and work not only for on-demand video but for live video as well.

That is exactly what RAMP, a video technology and search provider, is releasing today, in its new "MetaQ" product. As RAMP CEO Tom Wilde demo'd for me yesterday, MetaQ presents an extensive range of filters and a point-and-click rules creation process that editors use in order to associate/trigger related videos - and other desired content, such as celebrity factoids, stock tickers, ads or transactional prompts. When applied, the rules create a highly robust user experience that feels dynamic because relevant, up-to-date content is constantly being added.