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§ 01 · Analytics & Reporting

Sample Size

The number of users or events required for a test to achieve statistical reliability. Larger effects need smaller sample sizes; small effects require longer tests.

§ 02 · On this page
§ 03 · Definition

Why This Matters

The number of users or events required for a test to achieve statistical reliability. Larger effects need smaller sample sizes; small effects require longer tests.

How It Works in Practice

Planning test duration and determining when sufficient data exists to make decisions with confidence.

How Robotic Pixels Implements This

We configure Sample Size tracking as part of every client engagement. Our tracking foundations connect this metric to your actual revenue data, giving you numbers you can trust for budget decisions. We build the measurement infrastructure; you get the insights.

§ 04 · Related terms
Analytics & Reporting

Baseline Metric

The current performance measurement before any changes or tests are implemented.

Analytics & Reporting

Statistical Significance

Probability that observed differences between test groups are real rather than due to random chance.

Analytics & Reporting

A/B Test

Controlled experiment comparing two versions of a webpage, ad, or email to determine which performs better.

§ 05 · Author

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§ 06 · Help

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