While this example focused on optimizing sales, Optimizely’s experimentation platform can support an open ended set of experimentation use cases.
Stack browser generator#
One way to do this is to use a random number generator to pass in random userIds.Ĭongratulations! You’ve successfully set up and launched your first Optimizely Full Stack experiment. Note: To test the different variations of the experiment, you’ll need to pass in unique userIds to the SDK methods. Now click Run in the top left of the experiment page in your chosen environment and your experiment will start. Next, click on Metrics in the left side-panel and add your new purchase event as a metric for your experiment and save to your experiment.
For variation_2 set the discount value to 10. 
For variation_1 set the discount value to 5. Toggle the feature on for both variations. Toggling the feature on for both variations will cause Optimizely to show the discounts to all users who are part of the experiment (a single user only ever sees one variation). In the Feature box, select the discount featureīy default, Optimizely creates an experiment with two variations: one with the feature on and one with the feature off. The only thing left to set up is the experiment itself! To create an experiment in your Optimizely project: 
Implemented tracking of purchase event in the app. Set up event to track the impact of the feature. Implemented dynamic serving of the feature & variable in the app. At this point, you’ve set up almost everything we need to run your Full Stack experiment.
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