Cognitive match is a method of incorporating unstructured data in the form of text and images as variables in Machine Learning models. Later, new technologies will make it possible to treat video, sound (music) and other things in the same way.
Cognitive match is only a built-in “feature” in the platform, but still significant and completely unique. When your data about customers / lead, response, content etc. is read in One Prediction, One Prediction will automatically calculate a score on how far an individual and a piece of content match.
Overall, One Prediction is a fully automated Machine Learning cloud platform specifically designed for use by marketers, making it possible to quickly and easily integrate Machine Learning scores into the existing system landscape (Portrait, web, app, Simplify) without large investments, and show results in the form of significantly increased conversion within a few weeks from the start.
You can start by improving a single marketing activity and continuously expand the application, so that you eventually achieve full personalization across all activities and channels.
Based on contact and response history, customer / lead and product data and content elements continuously transferred to One Prediction from data sources (BigQuery and Cxense), One Prediction can fully automate Machine Learning models targeted for use in sales and marketing activities to recommend content, products or offers that best suit the individual. Other models can choose the right audience for specific activities where there is a high probability of positive response from the individual. One Prediction offers a range of standardized models developed on the basis of more than 10 years of experience in marketing automation.