Paid Ads

Geo Experiment

A geo experiment measures lift by varying spend across regions and comparing outcomes against controls.

Updated 2026-01-23

Definition

A geo experiment measures lift by varying spend across regions and comparing outcomes against controls.

How to use it

  • Use geo tests when user-level holdouts aren't feasible (e.g., offline or privacy constraints).
  • Ensure regions are comparable and avoid cross-region spillover.

Common mistakes

  • Using too few regions (low power) and over-interpreting noise.
  • Changing major campaigns mid-test (confounds).

Measured as

Measure Geo Experiment with a fixed attribution window, conversion event, and spend basis before comparing campaigns or creative tests.

Misused when

  • Using too few regions (low power) and over-interpreting noise.
  • Changing major campaigns mid-test (confounds).

Operator takeaway

  • Use geo tests when user-level holdouts aren't feasible (e.g., offline or privacy constraints).
  • Ensure regions are comparable and avoid cross-region spillover.
  • Use Geo Experiment only inside a stable attribution rule, conversion definition, and time window so campaign comparisons stay honest.
  • If performance changes, check whether the metric moved for a real business reason or because the measurement setup changed underneath you.

Next decision

  • Quantify the impact with Incrementality Lift Calculator if you need to turn the definition into an operating assumption.
  • Read Incrementality: how to tell if ads are actually driving growth if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.

Where to use this on MetricKit

Calculators

Guides