PRODUCT COMPARISON
Fairgen Boost vs Toluna HarmonAIze Boost
Both work with a survey that has already been collected. Fairgen describes augmenting survey segments while preserving questionnaire structure; Toluna defines Boost as amplifying patterns after fieldwork.
The comparison starts with the original sample, available segment sizes, questionnaire and intended analysis. These products generate additional records from collected data; they do not recruit additional human participants. A validation result for another product in the same company’s range does not establish Boost’s performance.
Published · Based on the company sources linked below.
Product records: 6 September 2026. Method and evidence sources linked below.
| Compare products | FairgenBoost | TolunaHarmonAIze Boost |
|---|---|---|
| Product category | Sample augmentation | Sample augmentation |
| Product | Boost | HarmonAIze Boost |
| Overview | Synthetic expansion of existing survey samples for deeper subgroup analysis. | Post-fieldwork synthetic augmentation for smaller or hard-to-reach survey groups. |
| Data grounding | The provider positions Boost as a hybrid tool working from existing research samples. | Toluna defines Boost as amplifying patterns in existing collected data, rather than recruiting new respondents. |
| Access | Contact sales | Research engagement |
| Pricing | Discuss scope with provider | Discuss scope with provider |
| Research method | 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. | Toluna defines HarmonAIze Boost as a tool that amplifies patterns in existing data to extend analysis of hard-to-reach or low-incidence segments, without additional data collection. |
| 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. | No product-specific performance result in the sources listed here. |
| Documented scope | Boost augments patterns in collected survey data. Generated records are not additional people interviewed. | Toluna defines Boost as amplification of patterns in an existing dataset without additional collection. The suitability of an augmented result therefore remains tied to the original fieldwork, its sample and its measures. |
| Method and evidence sources | ||
| Primary source | Provider documentation | Provider documentation |