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What Are Metrics?

Metrics show how feature rollouts affect users—like clicks, sign-ups, or purchases—by analyzing events and impressions.

They’re essential for pinpointing optimal flag settings and driving data-backed experiments.

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Defining a Metric

Metrics start with Events you’ve tracked (e.g., signup-cta-click). Here’s what defines them:

Follow along in the Dashboard, click ”+” next to Metrics or go to Create a Metric.

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Measurement Type

Choose how to analyze data—each type powers experiments differently:

Conversion Rate

Measures the percentage of users acting after seeing a flag (events ÷ impressions).

Numeric

Aggregates event values per user—e.g., counts, sums, or averages.

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Aggregation Method (Numeric Only)

For numeric metrics, pick how to process values:

  • Count: Number of events per user (e.g., purchases).
  • Sum: Total value per user (e.g., spend).
  • Average: Average value per event (e.g., price).
  • See Numeric Metrics for details.

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Metric Impact

Set the goal—does success mean more or less? This guides how results are interpreted in Experiments:

Increase

Higher values are better—e.g., more signup-complete events for registrations.

Decrease

Lower values are better—e.g., fewer error-occurred events for stability.

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Next Steps