NEW YORK--(BUSINESS WIRE)--In recent weeks, some of the world’s top brands, including L’Oreal, HSBC, Starbucks, and Walmart, have pulled their ad spending from Google, as a result of their ads appearing next to objectionable content on YouTube or websites the online ad giant monetizes. These brands are searching for a new digital video advertising safe haven that some believe, will be hard to find. In the midst of all of this upheaval and advertising anarchy, DynAdmic, a digital video advertising firm, has come to save the day with a unique set of tools that stirs up the competition and catches the eye of the world’s top brands and media agencies.
“The only way to prevent brands from being shown in an unsafe environment, is to analyze both written (page level) and spoken content (video level), not just rely on a quality score or the reputation of a video or website,” said DynAdmic CEO Stéphane Bonjean. “We are scrubbing through online video content as if it was done by a human being. With our technology, we can listen to the videos, hunt for shocking sounds and inappropriate spoken content, to make sure our clients are buying ad space within a secure environment.”
For the past four years, DynAdmic’s prerogative has been to protect the brands they work with, such as BMW, Red Bull, Kellogg’s, McDonald’s and American Express, from appearing next to undesirable videos or articles that do not fit within the brands’ vision. Now you might find yourself asking “How exactly does DynAdmic prevent ads from appearing next to objectionable content?”. And how it works is, DynAdmic’s proprietary audio recognition technology analyzes the audio track of a video people are watching online to identify the viewer’s interest and serve relevant ads.
By using the same technology, DynAdmic is able to filter out YouTube’s or any website’s undesirable video inventory by identifying sounds, written and spoken keywords that are associated with undesirable content, such as violence, offensive language, hate speech, etc… The video content recognition and analysis is based on signal processing, machine learning (artificial intelligence), latent semantic analysis, and parallel computing. With 6 billion ad placements analyzed every day, DynAdmic is leveraging its hyper-targeting technology to provide a level of brand safety known for its efficiency and scalability. Finally, in regards to a full approach to ad verification, DynAdmic’s fraud rate, monitored by MOAT, is less than 1% on all its campaigns (Q1 2017).
DynAdmic is a leading digital video advertising marketplace using an exclusive targeting concept powered by its audio recognition technology to identify and target a viewer’s real-time interest, serving them a brand’s ad the moment their interest level is highest. DynAdmic uses its never-before-seen contextual targeting solution to sell brand safe, highly focused campaigns to the world’s largest brands and agencies.