What does quality mean in market research and media measurement?
When it comes to market research and media measurement, ‘quality’ refers to the relevance, reliability, and accuracy of the data that informs consumer insights that have been gathered as part of online surveys conducted through market research platforms like the Cint Exchange.
As the world’s largest research marketplace, connecting real people to real questions is the cornerstone of our offering, and data quality is of the utmost importance to us.
Providing customers with access to high-quality market research data ensures that the insights in question are trustworthy and representative and thus enables organizations to make data-driven decisions efficiently and effectively.
Why does quality matter in research and measurement?
Bad quality market research data hurts. Receiving poor-quality data is not only frustrating, but it has real implications for everyone involved in the process. Potential consequences include the limiting of research insights, additional costs, and a loss of trust.
Cint customers rely on us to help them find the consumer insights they need. Inaccurate, poor-quality data can be misleading, but high-quality research builds confidence, enabling product development, media planning, and campaign evaluation.
Cint puts security, and quality first to provide researchers with market research and measurement data they can trust.
Cint puts security, and quality first to provide researchers with market research and measurement data they can trust.
What does Cint do to ensure high quality survey responses?
Poor-quality market research data is often the result of data fraud. Fraudulent actors use a variety of methods, including velocity attacks and click farms, to skew survey market research data or gain access to rewards offered upon completion of online surveys.
Cint is successfully taking decisive action against fraudulent actors who contribute to poor-quality data, seeking to exploit our own market research platform and the entire online research industry at large.
It’s crucial to recognize the importance of fighting AI-driven fraud with innovative technological solutions. By prioritizing security, integrity, and collaboration, we can not only protect our own business but the entire industry.
We do this by pairing advanced tech solutions with dedicated teams to ensure that your survey responses come from real people.
Doing so ensures that our customers receive high quality responses to their online surveys.
Want to learn more about quality at Cint?
Want to know more about Cint’s commitment to quality? Head over to our quality page to get the lowdown on how we pair advanced tech with dedicated teams to fight data fraud and deliver high-quality consumer insights.
