Social media users share more than 3 billion images each day. When brands rely solely on textual analysis, they miss out on the full context of consumer social conversations, especially since 85 percent of images on social media lack any text reference to the brands pictured in them. As Gartner analysts Nick Ingelbrecht and Melissa Davis wrote, “The growth of all types of video/image content is driving demand for improved indexing, content analysis and search capabilities. Internet traffic activity and growth forecasts show a relentless increase in image and video content, with cameras of all types capturing and sending ever-larger volumes of high-definition video.”
Crimson Hexagon’s software ingests and stores the most comprehensive image database in the market with more than 125 million images a day to train and enhance the accuracy of its machine-learning image analysis algorithm. Access to the most data together with the most advanced image analysis technologies enables Crimson Hexagon clients to analyze the top objects and scenes that appear in photos for particular conversations, as well as the evolution of image-based elements over time.
Whatever the topic, the language around it is increasingly visual. Before Crimson Hexagon’s image analytics capabilities, we were missing the full picture around what matters, and to whom. Our campaigns, and the causes they support, are the better because of it,” said Zach Zimmel, director of strategy at Grassriots.
From calculating the return on sponsorships to spotting alternative product uses to finding affinities between people, objects and scenes, Crimson Hexagon’s image analysis capabilities solve business problems across organizations. Features include image-specific filtering, data visualizations on posts containing images and a multimedia tile view display of analyzed posts.
The future of content is visual, and brands that rely on logo recognition alone are missing an unwritten part of the conversation: the who, how and where of consumers’ engagement with their products,” said Errol Apostolopoulos, senior vice president of product at Crimson Hexagon. “As consumers, especially millennials, continue to create visual content, our system’s machine-learning-based algorithm is well-equipped to ingest, store and classify those images and videos for our clients, so they can get the clearest insights about their customers.”
 Gartner “Innovation Insight for Video/Image Analytics, 2016,” Nick Ingelbrecht and Melissa Davis, Sept. 22, 2016