Disclaimer: This website requires Please enable JavaScript in your browser settings for the best experience.

Optimizely will be sunsetting Full Stack Experimentation on July 29, 2024. See the recommended Feature Experimentation migration timeline and documentation.

Dev GuideAPI Reference
Dev GuideAPI ReferenceUser GuideLegal TermsGitHubDev CommunityOptimizely AcademySubmit a ticketLog In
Dev Guide

Activate

This topic describes the Activate method, which activates an A/B test for the specified user to start an experiment.

Activates an A/B test for the specified user to start an experiment: determines whether they qualify for the experiment, buckets a qualified user into a variation, and sends an impression event to Optimizely.

Version

1.0.1 or higher

Description

This method requires an experiment key, user ID, and (optionally) attributes. The experiment key must match the experiment key you created when you set up the experiment in the Optimizely app. The user ID string uniquely identifies the participant in the experiment.

If the user qualifies for the experiment, the method returns the variation key that was chosen. If the user was not eligible—for example, because the experiment was not running in this environment or the user didn't match the targeting attributes and audience conditions—then the method returns null.

Activate respects the configuration of the experiment specified in the datafile. The method:

  • Evaluates the user attributes for audience targeting.
  • Includes the user attributes in the impression event to support results segmentation.
  • Hashes the user ID or bucketing ID to apply traffic allocation.
  • Respects forced bucketing and whitelisting.
  • Triggers an impression event if the user qualifies for the experiment.

Activate also respects customization of the SDK client. Throughout this process, this method:

  • Logs its decisions via the logger.
  • Triggers impressions via the event dispatcher.
  • Raises errors via the error handler.
  • Remembers variation assignments via the User Profile Service.
  • Alerts notification listeners, as applicable.

📘

Note

For more information on how the variation is chosen, see How bucketing works.

Parameters

The parameter names for flutter are listed below.

ParameterTypeDescription
experiment key
required
stringThe experiment to activate.
user ID
required
stringThe user ID.
attributes
optional
mapA map of custom key-value string, dynamic pairs specifying attributes for the user that are used for audience targeting and results segmentation.

Returns

Variation Representing response containing success result and variationKey, or null if the user does not qualify for the experiment.

Example

// Activate an A/B test
Map<String, dynamic> attributes = {};
attributes["device"] = "iPhone";
attributes["lifetime"] = 24738388;
attributes["is_logged_in"] = true;

var variationResponse = await flutterSDK!.activate("my_experiment_key", "user_123", attributes);

Side effects

The table lists other other Optimizely functionality that may be triggered by using this method.

FunctionalityDescription
ImpressionsAccessing this method triggers an impression if the user is included in an active A/B test.

See Decisions and impressions for guidance on when to use Activate versus Get Variation.
Notification ListenersActivate invokes the ACTIVATE notification listener if the user is included in an active A/B test and Invokes the DECISION notification listener if this listener is enabled.

Notes

Activate versus Get Variation

For details on whether to use Activate or Get Variation, see Activate versus Get Variation.

Source files

The language/platform source files containing the implementation for Flutter Android is at Optimizely.java and for Flutter IOS is at OptimizelyClient.swift.