The stream offers a variety of sorting and filtering options to help find what content is resonating on a particular topic. Over five years of historical branded content provides millions of pieces of strategically designed branded content. When paired with analytics, this gives our users the power to understand what works for a particular audience.

Users can set up searches on particular topics and save them to automatically filter the stream to these topics. From there, users can easily find the most interacted content across a variety of emotional reaction interactions, comments, and shares. These investigations lead to more informed recommendations and help guide content creators and analysts in their future social media strategy.

Developers and scientists use the curated output from our discovery engine API as the basis for internal advertising and performance tracking, competitive benchmarking and recommended topic discussions. Our database is well suited for large-scale machine-learning algorithms, textual language processing, and image recognition services.