150+ attributes per user — self-reported and behavior-inferred — covering who people are, what they value, and how they live.
























Users provide foundational profile data when they join Pogo: age, gender, household size, region, ethnicity, income range, and more. These attributes anchor every research study and data segment.


Pogo surfaces short in-app surveys that collect preferences, values, and lifestyle signals over time. Responses are stored as durable user-level attributes, building a richer profile with every engagement.


Profiles are automatically enriched from observed behavior. Purchase patterns generate inferred attributes (e.g. "premium beauty buyer," "health-conscious snacker," "deal-seeker") grounded in what users actually do.
Define a precise demographic or psychographic cohort, then run AI-moderated interviews exclusively within that group. Understand how a Gen Z health-focused buyer thinks differently from a mass-market shopper without a manual recruitment process.


Build survey audiences using 150+ attributes, then confirm segment membership with purchase behavior. "Health-focused" respondents who actually buy health products instead of those who just claim to.


Build consumer personas that combine what people say they care about with what they demonstrably buy. Rich, cross-tabbed profiles across demographics, attitudes, and observed behavior - without running a separate segmentation study.


Access demographic and behavioral segment feeds to understand consumption patterns across age, income, and lifestyle cohorts: for market sizing, consumer trend analysis, and enrichment of first-party data.


Define a precise demographic or psychographic cohort, then run AI-moderated interviews exclusively within that group. Understand how a Gen Z health-focused buyer thinks differently from a mass-market shopper without a manual recruitment process.


Build survey audiences using 150+ attributes, then confirm segment membership with purchase behavior. "Health-focused" respondents who actually buy health products instead of those who just claim to.


Build consumer personas that combine what people say they care about with what they demonstrably buy. Rich, cross-tabbed profiles across demographics, attitudes, and observed behavior - without running a separate segmentation study.


Access demographic and behavioral segment feeds to understand consumption patterns across age, income, and lifestyle cohorts: for market sizing, consumer trend analysis, and enrichment of first-party data.



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