Gnlresearch

To address industry data fraud and quality challenges, we independently developed the ISWEA anti-fraud platform.

We place technological innovation at the core of our operations, leveraging advanced machine learning and artificial intelligence to pioneer proactive fraud prevention in market research. Unlike traditional reactive approaches, we adopt a forward-thinking strategy to ensure data security and research quality.

We divide the respondent lifecycle into four stages, applying specialized checks, rules, and processes to each panel member.

Initial Screening

·Evaluate the effectiveness of recruitment channels.

·Track participation metrics of publishers.

·Implement a diversified recruitment strategy.

·Analyze the quality of source data.

·Optimize the coverage of potential members.

Identity Confirmation

·Use CAPTCHA to exclude bots.

·Detect duplicate registrations via digital fingerprinting.

·Require dual email confirmation.

·Restrict regions based on GEO-IP.

·Conduct in-depth verification for high-risk users.

Panel Management

·Monitor GEO-IP to prevent unauthorized participation.

·Apply RelevantID to screen for duplicates.

·Rate respondent quality based on performance.

·Verify the consistency of profile information.

·Periodically remove inactive members.

Data Optimization

·Review the completeness and accuracy of data.

·Analyze anomalies in participation patterns.

·Iteratively refine recruitment and management strategies.

·Leverage technology to enhance automation levels.

·Gather feedback to improve subsequent processes.

Fraud Prevention in Surveys

In the initial survey phase, we meticulously design open-ended questions tied to respondents’ personal lives (such as ideal vacations or career aspirations) to ignite their intrinsic interest and boost engagement. Leveraging advanced text analysis and quantitative scoring mechanisms, we precisely evaluate response quality, inviting only those meeting the criteria to participate in subsequent client survey projects.