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
SDK v1.0 and 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.
- Remembers variation assignments via the User Profile Service. (Coming soon!)
- Triggers decision notifications, if subscribed to.
Note
For more information on how the variation is chosen, see How bucketing works.
Parameters
The table below lists the required and optional parameters in Go.
Parameter | Type | Description |
---|---|---|
experiment key required | string | The experiment to activate. |
userContext required | entities.UserContext | Holds information about the user, such as the userID and the user's attributes. |
Returns
A variation key, or an empty string if no experiment was activated.
Example
attributes := map[string]interface{}{
"DEVICE": "iPhone",
"hey": 2,
}
user := entities.UserContext{
ID: "userId",
Attributes: attributes,
}
variationKey, err := optlyClient.Activate("experiment_key",user)
Side effects
The table lists other Optimizely functionality that may be triggered by using this method.
Functionality | Description |
---|---|
Impressions | Accessing 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. |
Notifications | Invokes the DECISION notification if this notification is subscribed to. |
The example code below shows how to add and remove a decision listener.
import (
"fmt"
"github.com/optimizely/go-sdk/pkg/client"
"github.com/optimizely/go-sdk/pkg/notification"
)
// Callback for decision notification
callback := func(notification notification.DecisionNotification) {
// Access type on decisionObject to get type of decision
fmt.Print(notification.Type)
// Access decisionInfo on decisionObject which
// will have form as per type of decision.
fmt.Print(notification.DecisionInfo)
}
optimizelyClient, err := optimizelyFactory.Client()
// Add callback for decision notification
id, err := optimizelyClient.DecisionService.OnDecision(callback)
// Remove callback for decision notification
err = optimizelyClient.DecisionService.RemoveOnDecision(id)
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 Go is Go.
Updated almost 3 years ago