From Revuze s site, indicating the range of data sources for product feedback

Customers have an endless supply of opinions about your products and services, and marketers are eager to boil them down into useful insights.

This need has led to a variety of sophisticated tools, including text/sentiment analysis from Lexalytics, voice of the customer analysis like Medallia, predictive analysis in Quantifind, contextual analysis from BehaviorMatrix, or customer intelligence provider Clarabridge.

Now, another platform is entering the U.S. market, with the promise that its neural networks and machine learning is smarter and more useful than the others.

Revuze — a Netanya, Israel-based firm with offices in New York City and, soon, San Francisco — describes its tool as a brand health indicator.

It pulls in qualitative data from thousands of brand and third-party sources, including social media, customer surveys, web site behavior, ecommerce activity and comments, and emails to customer service.

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