Synthetic expansion of existing survey samples for deeper subgroup analysis.
Product category
Sample augmentation
Use cases
Subgroup analysis
Data grounding
The provider positions Boost as a hybrid tool working from existing research samples.
Access & pricing
Contact sales. Discuss scope with provider.
Research method
Survey segment augmentation
Fairgen says Boost uses patterns in an existing survey to generate augmented respondents that follow the survey structure, including logic such as skips, piping and multi-selects.
Validation evidence
Reported brand-lift pilot
Fairgen reports a pilot using Boost with real brand-lift survey data processed through Google's Ads Data Hub. The supplier says the pilot covered 52 study cuts across five industry verticals and examined recoverable statistical precision through augmentation.
This is Fairgen's own account of a specific pilot. It should be read as a scoped augmentation study, not as a general guarantee for all questionnaires, segments or model configurations.
Documented scope
Existing survey required
Boost augments patterns in collected survey data. Generated records are not additional people interviewed.
Method and evidence sources
- Fairgen Boost: AI Synthetic Respondents · Provider product page
- Fairgen: Google synthetic-data pilot summary · Provider-reported study summary
