veeseo Launches Speech-to-Text Content Recognition Engine for Video Advertising
ADOTAS — Video marketing company veeseo announced this week a new way of analyzing online video content that will change the way advertisers and publishers reach consumers. This first-of-its-kind, speech-to-text content recognition engine for video embeds content-relevant videos — from the publisher’s library — directly into articles onto publisher sites, which has proven to keep readers on site significantly longer and deliver 2x the revenue and valuable insights to advertisers.
Q: Is speech-to-text valuable as an advertising vehicle?
A: Absolutely! When you have more information on the video content, you can do so much more with it — beyond just understanding titles and keywords. Publishers have huge video archives but usually very little metadata on each video – keywords are not enough. The veeseo engine analyses the video and not only extracts keywords, but also discovers, through semantic analyses, which keywords are especially important to the content. This information is used to match the video with other videos and editorial content about the same subject. As an advertising vehicle, veeseo increases video views for the publisher because that video is far more relevant to the topic of the editorial. With higher quality, more relevant video, it’s placed in the center of the article, not buried at the bottom, and enables publishers to to monetize their traffic far better. As an advertising vehicle, veeseo drives a higher click-through rate (5% vs. 3%), keeps 100% of the clicks on their site (vs. 40%), and sees commissions on pre-roll advertising (vs. click payments every time someone goes away).
Q: Who is the primary audience for your technology?
Q: Can you explain what a consumer sees step-by-step?
A: When visitors read an article on a website with veeseo technology, they will see either embedded in the article or just below it recommended videos that are relevant to that specific article they’re reading. For example, if they’re reading an article on Obamacare, they’ll see video recommendations of a political discussion on the subject, and not just any videos, but those that are matched most closely based on the semantic algorithm veeseo uses to identify the content of that video. We’re not using cookies to track what might be useful based on a site you visited last week; it’s all based on the specific topic you’re reading about right now.
Q: What’s the future of this form of technology?
A: Our short-term goal is to increase the traffic and revenue of our publisher clients. We’re doing this by keeping their users happy with interesting and relevant recommendations that add value to the publisher’s site. Our long-term goal is to enhance the overall online advertising opportunity by helping publishers deliver relevant advertising to their users that is perceived as unobtrusive and valuable because it is so relevant to the content they are interested in and consuming. This is a very different approach to content recommendation technologies and the one that will change the way publishers do business.
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