Dynata vs Cint

Company details

Description

Dynata is the world’s largest first-party data company for insights, activation, and measurement. With a reach that encompasses 70 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone

Cint is a global leader in research and measurement technology connecting brands, researchers, academics, or anyone with a question, to a network of over 800 suppliers representing millions of engaged respondents in 130+ countries. The Cint Exchange empowers users to gather insights at scale to b

Type of company

  • Data Collection

  • International

  • Panels / Communities

  • International

  • Panels / Communities

  • Software & Technology

Top benefits

  • High-quality and reliable data

  • Award-winning ML technology

  • Proprietary panel of 70m

  • 2,700 profiling attributes

  • Used by 80% of Fortune500

    Location

    Shelton, Connecticut, United States

    Stockholm, Sweden

    Market Research Specialties

    • Online Surveys

    • Sampling Services

    • Tracking Research

    • Business-to-Business Research

    • Advertising Effectiveness Research

    • Online Research Panels

    • Sampling Services

    • Panel Data Processing

    • Sample Database & Sample Marketplaces

    • B2B Research with Professionals & Executives

    Features and attributes

  • AI-Assisted Data Cleaning
  • AI-Powered Trend Detection
  • Advanced Analytics
  • BI & Data Visualization
  • Competitive Insights
  • Customizable Dashboards
  • Marketplace / Programmatic
  • Panel / Panel management
  • Qualitative Data Analysis
  • Qualitative recruitment
  • Survey Analysis
  • Synthetic Data & Participants
  • Target feasibility estimates
  • AI-Assisted Data Cleaning
  • AI-Powered Trend Detection
  • Advanced Analytics
  • BI & Data Visualization
  • Competitive Insights
  • Customizable Dashboards
  • Marketplace / Programmatic
  • Panel / Panel management
  • Qualitative Data Analysis
  • Qualitative recruitment
  • Survey Analysis
  • Synthetic Data & Participants
  • Target feasibility estimates