Audience intelligence built on real behavior

Most audience tools fall into one of three buckets: single-platform insights and analytics, survey panels with limited sample, or synthetic audiences modeled from thin data. StatSocial captures self-declared social signals across 7 major platforms and resolves them to verified individuals through StatSocial PeopleGraph, our patented Identity Graph, enriched with demographic and household data. The result is one deduplicated view of a real person rather than separate platform reports, built on behavioral signals from 219M U.S. adults. Query any audience against thousands of unique attributes to see preferred media channels, brand affinities, the creators they follow, interests, personality traits, and more.

Social listening tracks what people say online: mentions, sentiment, and trending topics. StatSocial analyzes what people actually do, including the creators they follow, the brands they engage with, and the passions that define them, all linked to verified individuals across platforms. Simply, social listening surfaces the conversation, while StatSocial identifies the specific people behind it and how to reach them.

Almost any audience you can define: consumer segments, your own social following, brand audience, competitor followings, B2B and professional audiences, creator communities, or your first-party and third-party customer data. This matters most for niche and low-incidence audiences, where syndicated panels have too few respondents to report on.

StatSocial’s AI automatically identifies natural clusters within any audience based on shared affinities, interests, and behavioral attributes. Each persona is built from real observed behavior rather than demographic assumptions, which makes them accurate enough to use directly for targeting, creative briefing, and media planning. Clustering runs automatically, compressing persona work from weeks of manual analysis into a single session.

Audience intelligence replaces demographic targeting assumptions with observed behavior. StatSocial shows which creators, brands, publishers, and passions over-index for an audience, which tells you where attention actually sits and sharpens channel mix, creator selection, and message framing before budget is committed. This matters most for audiences that look identical on a demographic profile but behave nothing alike. StatSocial audiences and insights export to LiveRamp, Meta, Linkedin, and other paid media and DSP platforms, alongside social listening tools, CRMs, CDPs, clean rooms, analytics platforms, and your own data or AI environments. The same audience definition used in research carries through to activation, so campaigns run against the people you studied rather than lookalike approximations.