Our Research
Credibility and transparency are foundational to everything we do. Understanding how our insights are formed helps you trust and use them effectively.
How Insights Are Formed
Our research methodology prioritizes privacy while delivering meaningful, actionable insights.
Aggregated Data Collection
We analyze patterns from publicly available content engagement, search trends, and reading behavior data—never individual user tracking.
Demographic Pattern Analysis
Insights are grouped by broad categories (age ranges, journey stages) to identify meaningful patterns while preserving privacy.
Human Interpretation
Raw data is transformed into narrative insights by researchers who understand human motivation, not just metrics.
Contextual Framing
Each insight includes context, observation, and implications—making research actionable for publishers and agencies.
Aggregation Methodology
All UNIQUEK insights are derived from aggregated patterns, never individual behavior. This means:
- Data is combined at the group level before any analysis begins
- No insight can be traced back to any individual
- Minimum sample sizes ensure statistical validity while protecting privacy
- Outliers are smoothed to prevent de-anonymization
This approach allows us to identify meaningful patterns that help publishers and agencies make better decisions—without compromising individual privacy.
What Data Is & Isn't Used
Complete transparency about our data practices.
What We Use
What We Never Use
See Our Research in Action
Explore the insights library to see how our methodology produces actionable, privacy-respecting insights.