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 shared on social media. 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.
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 millions photos for matches against a growing catalog of over 6,000 patterns plus thousands of objects and hundreds of scenes. 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.
Social Stream API
For tool providers and large enterprises interested in looking across a broad catalog of brands, Ditto offers a feed for direct integration. This Social Stream API 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.
Photo Reader API
Ditto offers a cloud based image recognition service for clients who have their own stream of photos which need mining. Social listening, user content management and ad targeting platforms use this service.
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 selected) which accompanies tweets if the user enables that on their phone. Currently less than 5% of tweets we see have this data enabled. We also display inferred location based on the user’s profile data where available.
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, keywords, mentions, follows, retweets etc. Ditto’s services simply extend such analyses to the domain of 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 abide by the terms of service of content providers listed below: