Cint & Rep Data Partner to Tackle Mounting Survey Fraud & Boost Data Integrity

New York, NY – November 12, 2025 – In a move signaling a heightened focus on data quality within the market research industry, Cint, a global leader in digital insights delivery, and Rep Data, a specialist in data quality and fraud prevention, have announced a strategic partnership. The collaboration aims to address the growing challenge of fraudulent responses in online surveys and establish new benchmarks for data integrity, ultimately delivering more reliable insights for businesses.

As online research becomes increasingly prevalent, so too do the tactics employed by bad actors to compromise data. This includes the use of bots, professional survey takers, and sophisticated techniques to generate invalid responses. According to industry analysts, the problem is not merely irritating; it’s costing businesses millions annually in wasted resources and flawed decision-making.

“The level of sophistication in survey fraud has increased dramatically,” says one industry consultant, speaking anonymously. “It’s no longer just about easily identifiable bots. We’re seeing coordinated efforts involving real people manipulating the system, making detection significantly more difficult.”

This partnership sees Cint integrating Rep Data’s flagship platform, Research Defender, into its extensive sample network. Research Defender employs an advanced anti-fraud engine that analyzes billions of data points in real-time to identify and block fraudulent responses before they impact research studies. Beyond proactive fraud detection, the collaboration will focus on rigorous pre, during, and post-project data quality checks.

“We recognize the critical importance of data quality in today’s insights landscape,” stated a spokesperson for Cint. “Our clients rely on accurate and reliable data to make informed decisions, and this partnership with Rep Data will help us deliver on that promise.”

Addressing a Systemic Problem

The partnership isn't simply about adding another layer of technology; it’s about addressing a systemic problem that requires a collaborative approach. According to a recent internal survey conducted by Cint, 85% of market researchers cite data quality as a major concern. Industry associations like ESOMAR have also been vocal about the need for greater transparency and standardization in data quality practices.

“For too long, the industry has been reactive to fraud,” explains another industry expert, also requesting anonymity. “This partnership signals a shift towards a more proactive and preventative approach. By combining Cint’s reach with Rep Data’s specialized expertise, they’re creating a powerful force for change.”

Rep Data’s commitment to hyper-focusing on data quality and operating as a “Researcher’s Agent” sets it apart. The company emphasizes rigorous quality control and transparency, providing clients with a clear understanding of the data they're receiving.

“We’ve been consistently hearing from clients that they’re throwing away up to 30-50% of completed surveys due to poor quality,” says a source within Rep Data. “That’s a huge waste of resources and a clear indication that the industry needs a better solution.”

Setting New Industry Standards

Beyond enhancing data quality, the partnership aims to establish new benchmarks for the industry as a whole. Cint and Rep Data plan to collaborate on developing best practices, sharing insights, and promoting greater transparency in data collection and analysis.

“Our goal is not just to improve data quality for our own clients, but to raise the bar for the entire industry,” says a representative from Cint. “We believe that by working together, we can create a more trustworthy and reliable insights ecosystem.”

The collaboration is expected to address key areas such as respondent verification, data validation, and fraud detection techniques. It also comes at a time when AI is increasingly being leveraged in market research. The enhanced data quality will contribute to more accurate and reliable AI-driven insights.

According to recent studies, companies leveraging AI for data analysis are reporting stronger revenue growth, suggesting that high-quality data is crucial for maximizing the benefits of this technology.

Financial Implications and Market Impact

Financial analysts anticipate positive financial implications for both companies. Cint, a publicly traded company with an estimated annual revenue of $172.7 million, is expected to benefit from increased client acquisition and retention due to its commitment to data quality. Rep Data, which recently secured a growth investment from Mountaingate Capital, is poised for rapid expansion as it scales its platform through Cint’s extensive network.

The partnership is also expected to impact the competitive landscape. By combining their strengths, Cint and Rep Data are creating a formidable force that could attract business away from competitors.

“This partnership is a clear signal that data quality is becoming a key differentiator in the market research industry,” says one industry analyst. “Companies that prioritize data integrity will be well-positioned to succeed in the long run.”

Looking Ahead

The collaboration between Cint and Rep Data represents a significant step towards addressing the growing challenge of survey fraud and boosting data integrity. As the industry continues to evolve, expect to see more partnerships and innovations focused on ensuring the accuracy and reliability of market research insights. By prioritizing data quality, companies can unlock the full potential of data-driven decision-making and drive sustainable growth.

Industry observers will be watching closely to see how this partnership unfolds and whether it sets a new standard for data quality in the market research industry. The success of this collaboration could pave the way for a more trustworthy and reliable insights ecosystem, benefiting businesses and consumers alike.