ADYOULIKE Launches World's First Semantic Targeting AI for Native Advertising

LONDON, November 14, 2016 /PRNewswire/ --

IBM's Watson AI enters the world of native advertising with ADYOULIKE 

IBM's ground-breaking Watson artificial intelligence software is now, for the very first time, being used to create better semantic targeting for native advertising. It forms an integral part of the latest advertising platform from ADYOULIKE, the innovative in-feed native advertising technology.

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A demo is available here: http://native-semantic-technology.ayl.io/

As part of the platform, Watson scans all the publisher pages in ADYOULIKE's global network of premium publishers and analyses them in the same way as a human mind would: looking contextually for topics, sentiment and semantics rather than just scanning for simple keywords.

This allows the platform to deliver native content in-feed in the most relevant and targeted way possible. Watson looks at where, why and how the existing editorial content on each site is 'talking about' subjects and ensures advertisers are dynamically delivering the best native content to fit. The data is currently available through ADYOULIKE's DMP and will be usable by programmatic buyers in Q1 next year.

Julien Verdier, CEO of ADYOULIKE, comments on the launch:

"We are extremely pleased to be launching the world's first semantic targeting AI for native advertising. It is going to revolutionise the way native advertising is delivered, at scale. It's a game changer for the native ad industry. We are now able, in real time, to associate any kind of advertising content to the best matching editorial context, whatever the level of semantic targeting expected by advertisers and publishers. We truly think that deep semantic contextual targeting is the only way to make the most of the native opportunity.

"Each month we reach more than 100m unique visitors and generate billions of ad impressions in an exclusive and premium editorial context. Thanks to IBM Watson we're now able to give a semantic context to each and every page in our publisher network, pushing advertising targeting to the next level and adding even more value to the user journey.

"ADYOULIKE is driven by innovation and this new semantic contextual targeting feature is a big first step in our planned technological innovations for 2017 - as we pave the way for what we call 'Deep Native Advertising' and our expanding DNA platform." 

"The Watson AI can look at existing content in a way that was previously impossible, providing a wealth of contextual data that examines not just what a publisher is writing about, but why. That makes it an invaluable tool for native advertising, which relies on being as relevant as possible to the existing editorial.

"This also signposts the future of digital content as we move towards the 2020s. We have so much access to data now, so it's about who can use and analyse that data most effectively and craft compelling content that plays to those insights. ADYOULIKE are pleased to play a part in this exciting development for the industry."

Ends 

For more information, contact:
Jack Ferris, jack@velvetpr.biz , +44 (0)208 996 1805
Jo Sensini, jo@velvetpr.biz, +44 (0) 208 996 1800

About ADYOULIKE

The ADYOULIKE group continues to expand internationally in 2016. Now operating in more than 18 countries with main offices in Paris, London and New York, this hyper-growing start-up has 70 employees worldwide.

The ADYOULIKE Native Technology Platform and Network allows brand advertisers to scale their native advertising campaigns across premium and niche publishers with ease from a single point of entry. Publishers benefit from access to the ADYOULIKE Exchange - a pioneering programmatic native ad marketplace - and the adoption of ADYOULIKE's ground breaking native SaaS technology. http://www.ADYOULIKE.com   

Accolades for ADYOULIKE include BPI France Excellence , Pass French Tech, The Everline Future 50 and The BIMA Hot 100. ADYOULIKE is a member of the IAB in the UK and France. http://www.ADYOULIKE.com

SOURCE ADYOULIKE