Decisions can only be as good as the source data they are based on. With the increasing sophistication and prevalence of “fake” respondents, decision-makers are at more risk than ever of making decisions from bad data.
The people behind this dishonest activity are constantly evolving but, as we’ve always done, so are we!

45+ years of experience
300,000+ concepts tested
500,000+ forecasts delivered
+/- 9% accuracy
We use a multi-layered, multi-faceted approach throughout all stages of respondent engagement
to ensure quality, with frequent review and adjustments as the market changes.

System
Restrictive access protocols across all platforms
Fraudulent activity detectors to prohibit entry
Centralized database helps track trends

Sample
Robust controls across internal panels
Strategic partnerships with global and regional providers
Study-level sample balancing

Survey
Login verification, URL encryption, digital fingerprinting, and fraud scoring
Third-party technology
to detect bots
Survey-specific business rules

Science
Data Science Team specifically focused on data quality and monitoring
Market and data source level calibrations
Test-retest reliability second-to-none
Making better decisions with better data means better returns

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