Why your current data is leading you astray.
With 51% of web traffic coming from bots and 64% of X accounts automated, you're listening to scripts, not buyers.
Most platforms track brand-level data. Without SKU visibility, you miss what drives ROI.
With 80% irrelevant media, teams waste time cleaning data rather than analyzing it.
Sentiment is a vanity metric. 85% of brand professionals struggle to turn social data into actual business decisions.
We cross-reference social signals with verified post-purchase data from eComm. You get a validated, more actionable category view from the people who actually use your products.
We drill down into specific product attributes and features. See exactly what’s winning (or failing) at the SKU level across your entire category.
Our proprietary AI engine cleans, organizes, and enriches every signal, removing bots, creators, spam, and irrelevant chatter, to deliver 90%+ accuracy and true data integrity at scale.
We go beyond analytics with next-step actions, turning workflows like SWOT, trend analysis, drivers & competitive analysis into 1-click, ready-to-use output that you can act on quickly.
SocialHub captures and analyzes social conversation at scale, then validates and enriches those signals using additional customer data sources, including:
Ratings & reviews
Survey responses
eCommerce and product performance signals
Customer feedback and experience data
Video and visual content
This creates a 360° view of what customers say, feel, and experience, all grounded in one unified intelligence layer.
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Social Hub Listen identifies emerging topics and sentiment shifts early, then confirms whether they appear consistently across reviews, surveys, and commerce data. Teams can act on trends that persist, not hypes that disappear.
Rather than stopping at negative sentiment, Social Hub surfaces the underlying drivers, product attributes, gaps and shows where those drivers repeat across channels. You get clear insight into what’s actually shaping perception.
Social Hub places every signal within full category context, showing how perception and sentiment compare against competitors over time. Teams understand whether shifts are brand-specific, category-wide or competitive threats.
Backed by the most validated consumer signals in the space
Revuze LLMs are trained on category-level data, continuously validating insights to minimize bias and reduce false positives.
Insights are grounded in real customer experience and behavior across all channels.
Outputs are structured for next-step action, not mere interpretation
No more reconciling conflicting consumer signals across tools