StatSocial
We empower brands to better understand their customers through rich social audience insights.
Published Oct 2, 2026
The vendor provides API-based delivery options. Third-party references suggest API endpoints exist in developer workspaces, but buyers should request official API documentation, versioning, and SLAs to confirm current capabilities and support.
Common buyer motivations reported in reviews include:
Publicly available churn narratives are limited. Likely churn drivers suggested by reviews include difficulty defending methodology to stakeholders, performance/match-rate issues during activation, and product complexity leading to slower time-to-value.
Vendor-published examples include reported outcomes such as increases in sales lift and new customer acquisition in specific campaigns. A vendor blog post includes a detailed example where an advertiser is reported to have observed higher spend among exposed audiences versus a control group using matched retail purchase data.
Decision makers: VP/Director of Marketing Analytics, Consumer Insights, Growth Marketing; Heads of Influencer or Creator Marketing; Data/AI leaders. End users: audience strategists, market researchers, media planners, and data analysts.
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Download full report →From G2 reviews:
These quotes reflect individual customer perspectives and should be interpreted as qualitative input rather than representative statistical measures.
From G2 reviews:
Recurring themes from public reviews and review platform pros/cons include:
Recommendation: request a sample methodology document, match-rate benchmarks, and documentation on how false matches and unknowns are handled prior to procurement.
StatSocial is a B2B audience intelligence and marketing measurement data platform that derives people-based intelligence from observable social behavior. The platform maps individuals to creators they follow, brands they engage with, and other behavioral signals, then provides tools and data delivery for the following applications:
The product provides identity-resolved, cross-platform audience data implemented using proprietary graph models (Identity/PeopleGraph and KnowledgeGraph).
StatSocial targets enterprise brands (CPG, QSR, etc.), agencies and consultancies, market research and insights teams that build or append panels, data/AI teams seeking enrichment data, and media buying teams creating segments for DSPs, social platforms, and CTV. It differentiates from traditional social listening by focusing on behavior-derived affinity signals and identity resolution, and from many influencer platforms by prioritizing exposure-to-outcome measurement rather than only engagement metrics.