
Rep Data
Rep Data offers data quality, fraud prevention, global sample and agile research technology for modern insights teams.
Rep Data Overview
Rep Data is the quality-first insights engine for modern research teams. It provides one engine that research teams can run on their own terms, with quality built into every layer of the research and tools that support sophisticated research methods.
Its platform and services cover sample sourcing, survey programming, data quality, fieldwork, analysis and reporting, supporting research teams throughout the research process.
Products
- Pre-Survey Fraud Prevention: Rep Data’s Pre-Survey Fraud Prevention identifies and blocks potentially fraudulent respondents before they enter a survey, helping protect sample quality from the start of fieldwork.
- In-Survey Data Cleaning: Evaluates responses during fieldwork to identify potentially fraudulent, inattentive or low-quality data.
- Sample Sourcing: Provides access to a global network of sample sources, with tools to manage targeting, quotas and sample quality.
- Research Platform: Brings survey programming, fieldwork and data analysis together in one platform, supporting standard and advanced research methods.
- Research Services: Provides managed support across research design, survey programming, sample sourcing, fieldwork and data preparation.
- Survey Programming: Provides specialist programming for online surveys, including complex logic, quotas, routing and multi-market studies.
Rep Data’s products can be used independently or combined to support different stages of the research process.
Use Cases
- Stop Agentic Fraud: Identify and block AI-driven and other forms of fraudulent survey activity.
- Stop Manual Data Cleaning: Automate checks for inattentive and low-quality responses during fieldwork.
- Speed to Insights: Streamline research workflows to help teams move from brief to results faster.
- Global Reach: Reach survey respondents across multiple countries and markets.
- DIY Research: Run research independently using tools for sample, fieldwork, data quality and analysis.
- Advanced Methodologies: Conduct research using methods such as conjoint, MaxDiff, TURF, Van Westendorp and Gabor-Granger.
- Consolidate Tools: Bring sample sourcing, survey programming, fieldwork, data quality and analysis together.
- Survey Programming: Support complex surveys with specialist programming and quality assurance.
Rep Data Categories
Software Platform Research Agency or Consultancy Panel or Data Provider
Advanced Statistical Techniques, Agile Quantitative Research, Artificial Intelligence, Brand Research, Concept Testing, Customer Experience (CX) Feedback, Data Analytics, Data Collection, Data Connectivity, DIY Surveys, Fraud prevention, Full Service Research, Research Automation, Sample Management, Survey Research and Participant Recruitment






