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A visitor can only be assigned to one experiment at a time. When several experiments target the same visitor, priority order decides which one applies.

Reorder Experiments

1

Enter reorder mode

On the Experiments list, click the reorder icon in the top-right corner. Its tooltip reads “Adjust the order of experiments to set their priority.”
2

Drag rows into order

A banner explains the rule: “The order of experiments determines priority. When a user qualifies for multiple experiments, the one listed higher will be applied first.”Drag rows by their handle to reposition them.
3

Save the order

Click Save. Experro confirms with “Experiment order saved successfully.” Cancel discards the change.

How Priority Is Applied

When a visitor arrives, Experro checks whether they are already assigned to an experiment. If not, it works down the list and assigns them to the first experiment whose targeting they match. Priority is evaluated at runtime, so changing the order changes future assignments.

How Each Type Behaves

A/B tests hold their assignment. Once a visitor is placed in a variant, they keep seeing it on every subsequent visit, even if their context changes. This consistency is what makes the results statistically meaningful. Personalization responds to context. A visitor who arrives from a different campaign or location can move to a different variant, because relevance matters more than consistency.

Impact on Results

Priority affects far more than which page renders.
  • Experiments lower in the order receive only visitors not claimed by higher ones.
  • Reduced traffic means a smaller sample, which lengthens the time needed to reach a reliable result.
  • An experiment starved of traffic collects too little data to produce a readable result.
Reordering a running experiment changes its traffic mid-flight. Where possible, set priority before experiments start.
When two experiments target the same page, the published version in the content library determines what is served. If you pause the higher-priority experiment, republish the version used by the remaining experiment from the content library.

What’s Next