“We are incredibly impressed with what eContext has achieved and can see multiple potential applications of this at different levels of our business.”
Simon McCarthy, Strategic Planning Director, Publicis Groupe
“eContext enables us to offer brands and agencies insights about our panel members, including highly accurate and granular analysis of the topics, products and categories they browse, read and engage with.”
Sean Swalwell, Data Solutions and Global Ops, Kantar Media
“The ease of processing, consistency, and accuracy of categorization to eContext’s vast hierarchy of topics makes LRW’s analysis of messy, unstructured web browsing and search query data much more efficient. eContext consistently provides amazing customer service in support of our research projects.”
Cody Cooper, Senior Data Scientist, Lieberman Research Worldwide
“We could not be more pleased with eContext’s contextual capabilities. eContext’s classification of C1X’s full firehose of RTB web pages is accurate, scalable, and significantly improves campaign effectiveness.’’
Mukundu Kumaran, CEO, C1X
“After extensive tests, eContext was the clear winner. eContext powers VEDO Focus, where our clients are able to classify and enrich a vast amount of data in real time. We are delighted with eContext’s level of depth and accuracy.”
Tim Barker, CEO, DataSift
"eContext’s classification helps us understand, in real time, the relevant topics driving conversations across myriad digital properties so that we can provide previously unknown insights to some of the world’s largest companies.”
Ash McCallum, Product Director, Black Swan
“eContext’s hierarchical text classification technology saves us a lot of time and money. With eContext, we have access to real-time insights that are uniquely comprehensive, accurate and actionable.”
Oliver Walsh, CMO, Aritzia
“Wow — eContext is like named-entity recognition on steroids! In my research, I’ve worked with long-form text for years, including news, surveys and conversational data, but I’ve never seen it structured and annotated so effectively before. Your algorithms are incredible.”
John Mohr, Professor, Dept. of Sociology, University of California Santa Barbara