Published · Company documentation and reported results.
What would change if you switched?
Toluna defines Boost as amplifying patterns in existing collected data, rather than recruiting new respondents. Research engagement. Discuss scope with provider. A replacement needs to fit the question you are studying, the data you can supply and the outputs you need. The table gives the documented starting point for each product.
Other sample augmentation tools
| Product | Research use | Data inputs | Access |
|---|---|---|---|
| Fairgen Boost | Synthetic expansion of existing survey samples for deeper subgroup analysis. | The provider positions Boost as a hybrid tool working from existing research samples. | Contact sales. Discuss scope with provider. |
Fairgen Boost
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.
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.
Boost augments patterns in collected survey data. Generated records are not additional people interviewed.
Compare with Toluna · Original product source · Method and evidence sources
Toluna HarmonAIze Boost method and evidence · Plan a comparison using your own study · Editorial standards