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Start an experiment in Sitecore Personalize

Abstract

How to start an experiment by setting it to run immediately or scheduling it to start and end on a particular date and time (Sitecore Personalize).

After you create an experiment , you can set it to immediately run, or schedule it to start and end on a particular date and time.

You can start an experiment from a draft or paused state.

To start an experiment:

  1. From the Build screen, click the Start button that displays at the top of the screen. The Start Experiment slide modal displays.

  2. To immediately start the experiment , click the Run immediately radio button. Alternatively, proceed to Step 4 to schedule the experiment.

  3. Click the Run Experiment button. You return to the Build screen. The status of the experiment briefly changes to publishing before changing to live.

  4. To schedule the experiment to run at a later date, click the Schedule run radio button. Additional fields display.

    Note

    Any start dates and end dates that you set for the Run Experiment are according to your organization's timezone. To view the timezone associated with your organization, hover your mouse over the Information icon.

  5. Click the calendar icon next to the Start Date to select the date you want the experiment  to start running.

  6. Enter the time for the experiment to start running in the HH : MM fields adjacent to the Start Date field.

    The experiment  is set to run indefinitely by default. If you want to schedule an end date, clear the Forever checkbox.

  7. Click the calendar icon adjacent to the end date to select the date you want the experiment to stop running.

  8. Enter the time for the experiment  to stop running in the HH : MM fields adjacent to the End Date field.

    Note

    If you selected an end date for the experiment to stop running, after the experiment starts and reaches the end date, the status of the experiment updates to completed.

  9. Click the Schedule Experiment   button.

    When live, personalization is in effect and any variants can potentially be shown to guests. You can immediately see operational data for the experiment. Within 24 hours, you can view how the variants are performing against each other in analytics. This lets you see which variant is leading or if a winner has been declared.