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How does Tracksuit clean the data?

An overview of our data cleaning methodology

Updated over 2 weeks ago

🧢 Coach T's Recap

We’re committed to innovating our processes to ensure the highest level of data quality. By embracing technology like QualityScore™ and combining it with our existing best practices, we’re able to provide you with the cleanest, most reliable data possible.

At Tracksuit, we understand the importance of quality data in driving brand decisions. We take data quality seriously, and with the continued growth of our platform, we’ve also innovated our data cleaning processes to ensure you always get the most accurate, reliable insights.


We partner with Dynata, a global leader in panel management, to ensure survey quality. Dynata's multi-step validation system checks for anomalies at every interaction with the respondent. This includes device/IP anomaly checks, geo-location clues, digital fingerprinting, and reputation-based screening.

We’ve also adopted Dynata's award-winning QualityScore™, a cutting-edge, AI-powered tool designed to raise the bar for data quality. This means we’ve consolidated and enhanced our data quality practices into a unified system, providing faster, more accurate filtering without compromising on key metrics.

Here’s how it works:

  • AI-powered cleaning: QualityScore™ uses machine learning to adjust in real-time, analyzing 175+ behavioral, technical, and response-based metrics to detect low-quality respondents.

  • Platform-agnostic: QualityScore™ works across multiple platforms and devices, maintaining quota accuracy while filtering out fraudulent or unqualified responses.

  • Integrated tools: QualityScore™ combines fraud detection tools like RelevantID and RealAnswer to ensure responses are genuine and meaningful.

Our goal is simple: to continuously provide you with the best, most accurate data possible. But the best part? Even with these upgrades, the consistency of your brand metrics and trends remains intact, ensuring that your brand health data will continue to provide reliable insights moving forward.

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