Ditto is Visual Search for Social
Social media is increasingly visual. But brands can’t listen to photos. Ditto developed proprietary computer vision to enable marketers to discover the brands that appear inside the daily torrent of photos people share on public social media (Twitter, Tumblr, Instagram and more).
Use Ditto to detect real-time insights about people and their product usage via the rich context of “in the wild” user-generated photos.
Use Ditto to monitor visual impressions and engagement. Measure your campaign’s effectiveness versus that of your competition. Act on emerging trends. Quantify earned impressions or integrate photo analytics with other data.
Use Ditto to directly engage with those who post photos of your brand. Identify the most influential advocates. Find the best user-generated photos containing your brand and seek permission to use them in galleries and marketing campaigns.
Only a small minority of people who post photos containing a brand, follow that same brand. Use Ditto to acquire the list of people who shared a photo with your brand and then build a targeted ad-campaign to engage previously unseen brand ambassadors or those of your competitors’.
As CEO of the Interactive Factory (acquired by RDW Group), David worked with a brilliant team of designers and programmers to develop museum exhibits and interactive toys, including the award-winning LEGO Mindstorms Robotics Invention System. Along with Ditto co-founder Neil, David invented on-line photo sharing selling Opholio and its seminal patents to FlashPoint.
Under his leadership at Ambient Devices, David launched a product line of wireless glanceable displays which pioneered a new category of consumer electronics. David’s insight on the behavioral impact of his flagship, the Ambient Orb, sparked a re-imagination of the medication taking experience long before the quantified self became a meme. To capitalize on this opportunity, David founded Vitality (along with Ditto co-founder Josh) which solved the multi-billion dollar adherence problem for pharmaceutical giants such as Bayer and Novartis. The iconic GlowCap is the category-defining smart medication packaging in healthcare.
A visiting scientist at the MIT Media Lab, and author of the upcoming book Enchanted Objects, David is in demand for his inspiring presentations at conferences like TEDx, South by Southwest, The Institute for the Future, and Fortune 500 corporations.
After receiving his bachelor’s degrees in physics and fine art from St. Olaf College, David earned a master’s at Harvard.
At Ditto, David’s dream is to make photos automatically link to products and experiences. Photo taken of products link to Amazon, shoes link to Zappos, People to LinkedIN, Bikes to Ebay, movie posters to Fandango, food to Opentable reservations, beaches to Expedia deals.
Known as an out-of-the-box thinker, Josh earned a bachelor’s and master’s degree from MIT where he studied computer vision at the Media Laboratory. He has a film credit for his special effects work on the Dreamworks film ANTZ as well as numerous patents and publications to his name.
Josh enjoys sharing photos of mouth-watering food but Ditto detected his interest for the great outdoors via brands like North Face, Columbia and Pongo.
Neil earned an MBA from MIT’s Sloan School of Management. He holds a S.B. in electrical engineering and computer science from MIT and studied at the MIT Artificial Intelligence Lab.
The Path to Purchase Institute named Mary in “Who’s Who Among Shopper Marketing Agencies” and she is also one of San Francisco’s “Top 25 Women Redefining Success” for her ability to blend work and family life. She is active nationally and locally in advancing Women’s Leadership via the Network of Executive Women.
Mary holds a Masters in Marketing Research from the University of Georgia Terry School of Business and a BS in public relations from the University of Florida. A vegetarian and avid trail runner, Ditto detected Mary enjoying an “Orange Kale Power” at Jamba Juice.
Tacita earned a B.S. in Computer Science from Wellesley College, which she later complimented with a B.F.A in Painting and Drawing from The School of the Art Institute of Chicago. She has been a guest speaker at several women in engineering events.
When she’s not evaluating user needs, technical architecture or market trends, she’s likely being tackled by her two children and 100lb lap dog.
Jonathan received a doctorate in structural biology from New York University School of Medicine and the National Institutes of Health and BS in computer science from Boston University. Loyal to his hometown Bruins, Jonathan also enjoys spending time with his family and cycling with friends.
After graduation, he was recruited by the hedge fund Warisan Capital to be quantitative financial engineering. Driven by his love of skiing, Mike subsequently moved to Laramie, Wyoming to complete a P.h.D. in Mathematics and Theoretical Computer Science. Mike wrote his dissertation under the advisement of professor Craig Douglas from Yale, discovering new results in combinatorics and integer sequence theory. During his graduate career he also received the Steven Lane Ashley Mathematics Scholarship and UW’s Outstanding Graduate Major Award. After moving to Boston to work in Stephen Wolfram’s Advanced Research Group, where he helped build software systems Wolfram|Alpha and Mathematica, applying advanced computational methods across the gamut of scientific fields.
Outside of work, Mike enjoys building iPhone apps, playing classical piano, and has recently taken up painting watercolor. Most days you can usually find him writing poetry or reading textbooks.
Before joining Ditto, Julia headed up operations at Vitality and worked closely with Josh and David to manufacture and distribute the GlowCap, a wirelessly connected medication adherence product that won the At&T Global Mobile Award in 2011.
Based in New York City, Julia loves the Met, is an avid supporter of the New York Public Library and is frequently trying new restaurants.
His early days in the SMB world at Citysearch and GrubHub have given him a keen understanding on the challenges that businesses face on a day to day basis to try and gain a foothold in an arena that is dominated by big bank accounts. Through this he has learned how to be nimble, creative, and willing to try unexpected methods to reach an audience.
As the web gets louder, the tables have turned, and it has become increasingly difficult for larger companies to reach their target audience. Phillip has been working with these clients to utilize those nimble and creative ideas to build partnerships and bring brands and customers closer together.
When the weather is warm Phillip competes in offshore sailboat racing regattas, and when there is snow on the ground you can find him skiing the mountains of Vermont.
His time spent working at Carbon Media gave him insight that brands need help defining their targeted audience and measuring brand exposure. Being from the Motor City himself, Peter wants to help companies like JEEP garner true consumer insights so they can engage with their most appropriate customer base.
When Peter isn’t working he enjoys photography, outdoor activities and helping organizations that are making a positive impact in our World.
Chute, a visual marketing automation company, today announced their Brand Advocate
Ditto Labs was co-founded by technology veterans, David Rose, Joshua Wachman, Neil Mayle, Philip Romanik and Amy Muntz. The company is headquartered in Cambridge, MA.
This is the fifth venture in which David and Joshua have collaborated.
The ubiquity of camera phones and rise of image centric social platforms has lead to a dramatic increase in image-centric conversations. Brands are part of our everyday lives and often appear in our shared photos.
The current ecosystem of social listening vendors leverage natural language processing technology to analyze text posts, rendering images without brand relevant text a data blind spot.
Ditto complements these text analytics tools by enabling marketers to detect, measure and engage with relevant user images posted on public social media platforms like Twitter, Instagram and Tumblr. Through the rich context of user photos, Ditto helps brands, and the marketing and media companies which serve them, to better understand people’s brand affinities, usage occasions and sentiment to more effectively engage with current customers and attract new ones.
Ditto currently analyzes public images from three social platforms: Twitter, Instagram and Tumblr.
Twitter: Ditto processes 30% of unique photos from Twitter handles with US time zones, and 5% from the rest of the world.
Tumblr: Ditto processes all unique publicly shared images via a Firehose Agreement with Tumblr,
Instagram: Volume fluctuates and is based on search terms and geo-targeting. Actual volume is subject to rate limits and restrictions imposed by Facebook/Instagram.
Currently, there is no API partnership with Pinterest. Ditto abides by Pinterest’s terms of service and does not “scrape” Pinterest data as some other services do. In addition, much of the content seen on Pinterest is curated by brands and re-posted by passionate people. Ditto’s core expertise is detecting brands in user-generated photos which are authentic indicators of consumer passion otherwise absent from measurement, and arguably also of high marketing value.
By design Facebook posts are private and therefore Ditto does not have access to this stream for analysis.
Yes. Using proprietary machine learning algorithms Ditto results average over 99% precision. This means we measure false-matches less than 1% of the time. However, some household brands have very low incidence on social media platforms. This could make training your particular brand a challenge. But the more instances we see of a brand logo, the smarter our machines get, so please contact us to see if your brand is a good candidate for our service.
Yes, Ditto can recognize two dimensional images like, fabric patterns, celebrity images and cartoon characters. Ditto is currently working on new approaches to extract scene context (i.e. beach, snow, office) and softer identification features (i.e. is it a dog or cat in the picture).
Ditto is continuously mining this torrent of public photos for matches against a growing catalog of over 3,000 patterns. This is a computationally challenging and expensive process which is distributed among hundreds of servers we operate.
SaaS Platform for Brands and Agencies
Ditto serves progressive marketers in consumer-focused industries spanning consumer packaged goods, apparel, quick service restaurants, auto, beverage, transportation, sports, entertainment, etc. Advertising agencies and market research firms also use Ditto’s brand analytics tools to serve brand clients.
Streaming API of Twitter and Tumblr posted photos
For tool providers and large enterprises interested in looking across a broad catalog of brands that appear in public posts from Twitter and Tumblr, Ditto offers a feed for direct integration. This Streaming API product is ideal for those enterprises already purchasing data from Twitter/GNIP or DataSift and who recognize the value of photodata as an enhancement to their core offerings. Instagram is not available to Streaming API clients.
On Demand API for your photo set
More recently, Ditto opened access to its cloud based image recognition service for Ditto clients who have their own stream of photos which need mining. This Ditto On-Demand API serves ad targeters and platforms.
Marketers use social photos for qualitative insights, visual analytics and community growth.
Market Researchers & Strategic Planners use Ditto in search of consumer insights, including identify emerging trends and bringing rich context to briefings, presentations and consumer profiles.
Social Data Analysts use Ditto to track brand incidence, impressions and engagement vs competitors and affinity brands by geography, platform and over time. Social photos can be used by advertisers and content providers to quantify additional visual impressions from sponsorships, partnerships, and other media investments.
Community Managers use Ditto for community engagement and growth to engage directly with customers and amplify emerging trends.
Media Planners use Ditto to target influencers and brand advocates. Media buyers can download the community of people who post photos with the brand for a Twitter Tailored Audience campaign that complements the population of people who follow or mention the brand.
For Twitter data, the heat map view is based on geo-location at the time of the tweet. This is based on latitude and longitude data (irrespective of time-zone) which accompanies tweets if the user enables that on their phone. Currently only 3% of tweets we see have this data enabled. We also display Instagram post location when enabled. To see Instagram posts on the map you need to select “Time Zone Not Available” from the pull down menu. Tumblr data in the analytics tool does not include any location data.
We only find publicly available images on Twitter, Instagram and Tumblr.
We take user privacy seriously and strive to be good citizens of the evolving social media marketing community. We encourage consumers and marketers to be familiar with the privacy policies by platform.
Social media listening companies using text analytics have been processing public posts for years monitoring hashtags, key words, mentions, follows, retweets etc. Ditto’s services simply extend such analyses to the domain of publicly shared images.
Social marketing platforms have their own terms and conditions pertaining to who owns and, ultimately, who can get access to their platform’s data. At Ditto, we only help brands find the photos where a brand is detected and abide by the terms of service of our content providers listed below:
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