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Ditto unveils visual brand power tool

Ditto labs has made some noise in 2014, albeit maybe not  the way it intended to. With a proprietary image recognition engine, Ditto tracks thousands of brands’ logos on social media sites Instagram, Tumblr and Twitter. With the resulting data, it can provide its users with a large volume of information around how consumers experience products and maybe more importantly, how they decide to visually share their experience.

While there is no immediate actionable data, maybe besides retweeting a post, it is the only company that is starting to offer visual intelligence to  brands. And that in of itself is revolutionary and of consequence. Up to know, brands were driving blindly into the photo sharing frenzy, posting or repurposing content using a mix of gut feeling and text based intelligence to power their decisions. Thanks to the Ditto service, they can now have a glimpse of what the road looks like, even if, for now, it doesn’t offer GPS.

While important, Tumblr, Twitter and Instagram ( the 3 social sites Ditto monitors), are just a subset of the vast internet and while it gives a decent understanding of trends, it is certainly not enough to create a science around it. Nevertheless, one has to start somewhere and Ditto is certainly on the right path to helping brands make better visual decisions.

Here is a short Ditto produced video explaining some of its functions :

Social media has become photo-centric with 1.8 Billion images share daily. But brands can’t listen to photos. See how marketers can leverage proprietary computer vision from Ditto Labs for customer insights, analytics, engagement and ad-targeting.

Photo by AndyWilson

Author: Paul Melcher

Paul Melcher is the founder of Kaptur and Managing Director of Melcher System, a consultancy for visual technology firms. He is an entrepreneur, advisor, and consultant with a rich background in visual tech, content licensing, business strategy, and technology with more than 20 years experience in developing world-renowned photo-based companies with already two successful exits.


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