Social Media
Enrich social accounts with privacy-first demographic estimates.
Real-World Signals from Public Profiles
HumanGraphics reads high-signal, publicly available fields from social profiles and turns them into structured, non-identifiable demographic estimates.
- Profile text: handle, display name, bio/about, self-declared location
- Language cues: primary language and script usage
- Temporal hints: account age and activity metadata (where available)
- Context clues: emojis, common entities, and pattern matching
Ensemble Methods for the Richest Enrichments
HumanGraphics technology fuses multiple demographic signals into a single high-fidelity demographic estimate. It cross-checks cues (like name patterns, location hints, language, and other profile text) and outputs confidence-scored non-reidentifiable demographic estimates that are consistent across platforms.
From Marketing to ML
Social media accounts contain a tremendous amount of information about us: our names, our locations, how we describe ourselves, what we like, what we think, what we look like... the list goes on. When you turn unstructured social media data into structured demographics data, you unlock a world of possibilities, from Marketing to Machine Learning and more.
