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Analytics Definitions

What is Data Sampling?

The practice of analyzing a subset of website traffic data to estimate overall performance, rather than querying raw events.

When analytics databases grow large, running queries across billions of raw visitor rows becomes computationally expensive. To speed up reporting, legacy tools like Google Analytics sample your data — meaning they run queries on a small percentage of your actual logs and multiply the results to guess the total counts.

While data sampling speeds up dashboard load times, it introduces significant errors, especially when filtering traffic down to specific landing pages, marketing campaigns, or conversion funnels.

TrackWhy never samples your data. Every report, funnel, and retention grid is computed in real-time by querying your raw, unsampled event logs. This ensures your conversion numbers remain 100% accurate, no matter how deep you drill down.

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FAQ

Frequently Asked Questions

When does GA4 sample data?
Google Analytics 4 applies sampling to complex reports and Explorations once traffic exceeds specific quotas or thresholds, which frequently leads to discrepancies in conversion reporting.
Why is unsampled data better?
Unsampled data is essential for making business decisions. If you are validating campaign ROI or running checkout funnels, a sampled estimation can easily report false trends or hide drop-offs.

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