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TVguide.co.uk Brings Image Recognition to Banner Ads

TVGuide.co.uk has created a ’drag and shop’ banner to run along side fashion articles, using artificial intelligence TVGuide.co.uk is able to recognise the clothes featured in images and serves up the 6 closest matches from a fashion range of over 11,000.


London, UK – WEBWIRE

Continuing our commitment to building better ads for both brands and consumers, we are thrilled to deliver the UK’s first image recognition-enabled banner for Very.co.uk

TVGuide.co.uk uses machine learning to deliver an 83% increase in banner click through rates.
 
The new ‘Drag and Shop’ banner ad, allows users to buy clothes directly from news articles and went live this week. 6% of all users who see the banner are interacting with it, this is 2x the industry average. Even better is the fact that these clicks & interactions are turning in to sales, with a clicks to conversion rate of 8%. 
 
A survey by TVGuide.co.uk found that 28% of fashion shoppers found inspiration from what they see on TV and in the press, with this information they set out to build technology that could scan what is on a page and show matching items from a product catalogue, this new ad unit was called ‘drag and shop’
 
How it works!
 

  1. The banners are delivered next to article images featuring celebrities wearing amazing outfits.
  2. If a user likes the clothes on the celebrity, they can simply drag the image in to the banner.
  3. Using AI powered image recognition technology, we identify the items of clothes in the image and return up to 6 matches from a catalogue of over 11,000 clothes. 
  4. If a user likes the returned items they simply click ‘shop’ to be taken directly to the product page to pick the size they want and add it to their basket. 

 
Here’s a quick video of how it works https://www.youtube.com/watch?v=-OcX5om-PTI&feature=youtu.be
 
Very.co.uk is the first fashion brand to trial this technology with the first batch of banners running in the news section of TVGuide.co.uk and programmatically on fashion sites.



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