Deep.ad IntroducesPanelBot Intelligent Content Processing Software for Market Research Businesses
Deep.ad | July 21, 2021
Deep.ad, the only computer vision company that identifies brands, trademarks, and advertising in any kind of media, today introduced the launch of PanelBot, a SaaS data extraction channel for market research businesses.Mergingadvanced object detection and optical character recognition (OCR) technology, PanelBot labels brandprints that look within content notable to marketers, comprising paid media creatives and user-generated content.
As brands pursue new methods to comprehend digital-first and social-first customers, the number of market research businesses offering first-party panel data is rising exponentially. Collecting online browsing and purchasing behavior from consumers is normallymodest for these companies; millions of people are keen to exchange data for dollars. But tagging and analyzing visual media yielded from panels can be a phenomenal effort.
“PanelBot is the automated labeling platform market research companies have been waiting for,” said Deep.ad CEO Kristopher Kubicki. “It’s the fastest way to go from a black hole of unstructured and unanalyzed rich media to objective and actionable market intelligence.”PanelBot’s reporting output answers two key questions: 1) What market intelligence – including brand names, logos, product categories, trademarks, pricing, promotions, etc. – does a scanned media asset contain? And 2) Where is the asset from – Facebook, YouTubeTV, TikTok, Google, Amazon, Twitter, etc. – and what else is publicly known about the content publisher?
“99% of new digital content is image or video, including paid media. That’s a scary blind spot for brands who want to know how their products are being shared in the wild and how their competitors are advertising,” said Kubicki. “PanelBot is the scalable alternative to spending a fortune on low-quality manual OCR to address this gap.”
As well as raw image, video, and gif files and URLs, PanelBot also scrapes PDFs, audio files, photographs, HTML pages, and other media. Compared to manual annotation, it reduces labeling costs by 70% and lead time by 99%.
To Know More about Deep.ad:
Founded in 2017 and based in Chicago, Deep.ad provides Machine Learning-powered brand attribution and market intelligence software. Our technology automates the discovery and extraction of brand, product, and advertising information within visual media and digital content.