Zoomino.com, Inc, a provider of in-text discovery engines, has launched In-Text TV on the Glam Apps Platform. Once you embed the code onto your website, In-Text TV offers your site visitors the opportunity to effortlessly discover informative and entertaining video clips related to any word or phrase appearing in an article or webpage.
Readers can then access the In-Text TV display by using their mouse to trigger a highlighted keyword or select any word or phrase mentioned on the page. In addition to relevant videos, the In-Text TV display includes tabs for reading a synopsis of the keyword and viewing related photos. Also, the display contains an advertising unit, providing an additional revenue stream for your website.
Zoomino is a provider of innovative discovery engines that enable websites to present related site and web content within a content page. Triggered in-text by a keyword mouseover, Zoomino helps readers explore content of interest at natural curiosity points, resulting in extended site visits and expanded advertising inventory. Zoomino’s content augmentation solutions for web publishers and advertising networks integrate seamlessly with site content and result in high levels of user engagement. Founded in 2008, Zoomino is a privately held company based in New York City. Zoomino also has an office in Guangzhou, China and operates a Chinese publisher network that includes leading news, auto, and travel sites.
In-Text TV is part of the Glam Apps Platform, developed in 2008 to link publishers to new applications. Glam Apps help publishers drive differentiation and add new features to their sites without incurring development costs, grow their traffic, and create new revenue streams through revenue-generating apps. In-Text TV will be available to Glam’s 1,400+ publisher partners.
In-Text TV includes videos from a variety of sources and new content providers are being added regularly. Zoomino’s algorithms determine relevant videos based on contextual associations, popularity, publish date, and a variety of other factors. Recommendations are refined based on user behavior.
The Glam Apps Platform can be accessed at http://apps.glam.com.