Stop digging through your library to find a video that goes with your article - let JW Player’s AI do it for you.
How many times have you clicked on an article and you’ve seen a video alongside it that has little or nothing at all to do with the subject of the post?
A completely random or inappropriate video attached to a page will have an adverse affect on your audience’s experience, and leave a lasting impact on your brand.
Alternatively, many text-based articles miss the opportunity to add a relevant video from a brand’s library that would enrich the story and deepen audience engagement.
But now, JW Player has built a proprietary tool using Artificial Intelligence that automatically chooses the most relevant video for each of your pages and articles from your content library.
For media companies such as Business Insider, Apartment Therapy and US Weekly over 50% of their editorial articles are text only. These clients have large video libraries but lack the time, workflows and/or data to add a relevant video to most articles. And with these “text only” pages media companies are leaving money on the table.
No longer will that be the case.
Mismatched videos with text articles and time-consuming editorial workflows can be a thing of the past - saving time and deepening your audience’s engagement with the article. Editors will be able to focus on the important work of creating compelling content while driving more engagement for your videos.
Article Matching provides a seamless and effective solution to add contextually relevant videos to all their text-only article pages. As a result, significantly increase both your audience's engagement with video and your ad revenue.
Today, Article Matching is open to all current JW Player clients. JW Player will demo Article Matching at this year’s NAB Show in Las Vegas, NV. The company will be located in the South Hall Upper Level 10121 (SU10121) of the Las Vegas Convention Center from April 6th to 11th.
Click here to schedule a meeting with a JW Player video expert.