Quantilope automates traditional survey methodologies (MaxDiff, conjoint, TURF) with faster setup and analysis. Simporter takes a different approach: analyzing real consumer behavior data to discover insights, generate concepts, and validate them.
Side-by-side comparison
| Feature | Simporter | Quantilope |
|---|---|---|
| Approach | Real consumer behavior analysis + AI | Automated survey methodologies |
| Data source | Reviews, searches, social conversations | Survey panels (automated) |
| Methodology | Demand signal analysis, synthetic panels | MaxDiff, conjoint, TURF, implicit association |
| Insight discovery | Core capability (1M+ signals) | Survey-dependent |
| Concept generation | AI-assisted from evidence | Not offered |
| Speed | Days per service | Faster than manual surveys, still survey-paced |
| CPG specialization | Purpose-built for CPG/FMCG | Cross-industry |
| End-to-end sprint | 6-week insight-to-concept pipeline | Individual research modules |
Quantilope is a better survey platform. Simporter is a different kind of research platform entirely, built on real consumer behavior data rather than surveys. For CPG teams that want to start with what consumers actually do (not what they say in surveys) and carry that through to validated concepts, Simporter is the better fit.
If your research question requires specific survey methodologies like conjoint analysis or MaxDiff with large custom samples, Quantilope offers strong automation for those approaches. If you want to discover unmet needs from real consumer behavior, generate concepts, and validate them in an end-to-end pipeline, Simporter is built for that.
Yes. Some teams use Simporter for upstream insight discovery and concept generation, then use survey platforms for specific late-stage conjoint or pricing research. The approaches are complementary.
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