Deliver more value to every client with predictive respondent boosts for harder-to-reach segments
You already lead with methodology and rigor. Now, you can go further—delivering insights into segments once too small, too niche, or too expensive to analyze with confidence.
Fairgen Boost uses advanced statistical imputation to fill gaps in under-sampled segments based on patterns in your real data. You gain scientifically grounded insights at scale and unlock a new, profitable way to deliver depth across every study.
Our AI models are trained exclusively on the data from each individual study.
When a segment is under-sampled, our AI boosts are statistically equivalent to three times more respondents, without additional fieldwork.
You maintain full control: choose when and where to boost, and validate with side-by-side comparisons.
Premium cuts for niche targets (e.g., Gen Z, low-incidence behaviors, regional audiences)
Delivering longitudinal trends across fragmented subgroups
Expanding reach without overspending on traditional sample boosts
What once felt impossible is now routine. With our AI boosts, your team can:
Meet client demands for granular reach
Support niche strategies with trusted insights
Stand out with a bold AI advantage
Let us show you how Fairgen Boost works on your data.