Cint vs DataDiggers

Company details

Description

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

DataDiggers is a global, technology-driven market research agency committed to delivering fast, reliable and high-quality insights for brands and agencies worldwide.


We take data quality seriously. DataDiggers employs multi-layered, AI-enhanced fraud detection systems before, dur

Type of company

  • International

  • Panels / Communities

  • Software & Technology

  • Data Collection

  • International

  • Panels / Communities

Top benefits

    • One-stop solution

    • Free weekend coverage

    • Full service capabilities

    • 24-hour coverage

    • No minimum or set-up fee

    Location

    Stockholm, Sweden

    Bucharest, Romania

    Market Research Specialties

    • Online Research Panels

    • Sampling Services

    • Panel Data Processing

    • Sample Database & Sample Marketplaces

    • B2B Research with Professionals & Executives

    • Online Quantitative Data Collection Methods

    • Online Proprietary Research Panels

    • Online Surveys

    • Omnibus Surveys

    • Survey Programming Services

    Features and attributes

  • Chatbots for recruitment
  • Intercept sampling
  • Marketplace / Programmatic
  • Panel / Panel management
  • Proprietary incentive programs
  • Qualitative recruitment
  • Research communities
  • Respondent experience tools
  • Sample blend & targeting by AI
  • Social networks
  • Synthetic sampling
  • Target feasibility estimates
  • Chatbots for recruitment
  • Intercept sampling
  • Marketplace / Programmatic
  • Panel / Panel management
  • Proprietary incentive programs
  • Qualitative recruitment
  • Research communities
  • Respondent experience tools
  • Sample blend & targeting by AI
  • Social networks
  • Synthetic sampling
  • Target feasibility estimates