- The world’s leading rich product content publishing platform integrates unique Content Optimization Research and Education (C.O.R.E.) into its suite of rich product content syndication and analytics tools
- C.O.R.E. ensures that content is optimized for maximum impact
Webcollage, the rich product content publishing platform used by the world’s leading brands and retailers, today announced the addition of predictive content optimization to its rich product content syndication and analytics platform.
C.O.R.E. provides manufacturers with a layer of predictive analysis - driven by psychographic and demographic data - that analyzes how content will perform. This analysis helps manufacturers create optimized product page content that connects with and informs target consumer segments effectively.
C.O.R.E. is available immediately alongside a comprehensive suite of rich product content syndication and analytics tools. C.O.R.E. gives Webcollage clients access to a layer of predictive analytics that match their product page content to millions of data points, leveraging anthropology, linguistics, mathematics, neuroscience within an ever-evolving database tracking over 20 years of consumer interactions.
Webcollage CEO John Federman says: “C.O.R.E. helps you evaluate and optimize your content before that content ever goes live, giving science-based answers to the ever-important question: “What is good content?” Using audience and retailer alignment, and competitive analysis, C.O.R.E. delivers in-depth reporting on the effectiveness of product page components.
“C.O.R.E. uses millions of data points that are continuously updated and representative of all demographics and personality types, to offer cost effective, predictive analysis of product content; while also benchmarking it to its competitors. This provides manufacturers with prescriptive, actionable feedback that tells them how they are doing at communicating their unique and actionable product features and offers clear, concise suggestions on how content can be improved.”
C.O.R.E. has been developed in partnership with Joseph Carrabis, a world-renowned neuroscientist and research fellow at the University of Southern California’s Annenberg Center for the Digital Future, who comments: “Manufacturers s need to understand how people think and react to product content, and then leverage that information to exponentially improve that content. C.O.R.E. enables brands to analyze and react to how people’s postures and statements reveal their motivations and decision making, enabling them to optimize their product content effectively.”
Webcollage established the industry standard for publishing rich product information to retailer websites. More than 1,000 manufacturers use the Webcollage platform to syndicate rich product content to a network of global retailer partners that includes more than 600 ecommerce websites, including Walmart.com.
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For more information about Webcollage, Montage or to organize an interview with John Federman or Joseph Carrabis, please contact: [email protected].
About Webcollage: Webcollage is the leading cloud-based content management platform for managing rich product information, and syndication across retail sites globally. Webcollage provides brands with the tools they need to deliver consistent content — from rich product detail pages, comparison charts, images galleries, interactive tours and product selectors – to power online sales conversions and improve the customer experience. Webcollage’s® syndication platform and global retailer network is trusted by more than 1,000 brands and 600+ retailers worldwide. Webcollage is headquartered in New York City with offices in Ann Arbor, Cleveland, New York City, Silicon Valley, Rotterdam, Warsaw and Tel Aviv. For more information, visit www.webcollage.com.
Twitter: @webcollage
About Joseph Carrabis and the University of Southern California’s Annenberg Center for the Digital Future: Joseph Carrabis is a Senior Research Fellow and Board Advisory Member for the Society for New Communications Research, a Senior Research Fellow for USC Annenberg's Center for the Digital Future, a Founder, Senior Researcher and Director of Predictive Analytics for the Center for Adaptive Solutions, a member of UN-NYAS Scientists Without Borders and both Advisory Board Member to the Center for Multicultural Science and Editorial Board Member at the Journal of Cultural Marketing Strategy. He has designed, developed and delivered over 100 tools that analyze everything from group and individual social behaviors to product design and development to community development and monitoring to consumer psychology to resume analysis and improvement to finding compatible life-partners to personal growth to training measurement for governments, businesses and individuals worldwide.
Since 1993, the Center for the Digital Future has been tracking the global evolution of digital technology and platforms, studying their impact on users and non-users, and working with clients worldwide. The Center’s innovative techniques for collecting and analyzing social science data supports corporate management, government leadership, leading brands, and NGOs as they shape new directions in the online realm. The Center’s digital experts, researchers, and strategists have assembled—and continue to build—the definitive body of data and insights on the changing role of online technology and media in our lives.