Collect Learnings from your experiments

You can add a learning for any campaign that is in the Ended, Archived, or Analysis status.

This feature is in the early adoption phase. To benefit from it, please get in touch with your CSM.

Creating a learning from a finishing experiment

The Learning creation option is available as soon as the campaign reaches Analysis status. To start collecting Learnings during analysis, please read Creating a learning from a past experiment or an experiment in Analysis section, or wait to reach the Ended status.

As soon as a campaign status moves Ended or Archived, a window opens to prompt you to submit a learning.

1

Select the impact of the campaign (Positive, Neutral, Negative, Unconclusive).

2

Select the value of the campaign (Surprising, Expected, Undefined, Biased, Push further, No impact).

3

Optionally, add detailed feedback (up to 4000 characters).

4

Click Save learning to submit.

The learning will be stored and linked to the campaign.

1. All submitted learnings are available in the Learning Library, where you can view, organize, and reference them for future optimizations. Read our dedicated article to learn how to manage your learning.

2. A bar chart will then be displayed to have an overview of all the learnings you took.

If you missed the opportunity, you can still do it from the report view.

Creating a learning from a past experiment or an experiment in Analysis

The option is not available for campaigns that already have a learning attached—only one learning per campaign is allowed unless the previous learning is deleted

1

Access the Campaign Report

If the campaign is eligible, you will see a Create learning button in the left navigation bar.

If a learning already exists, the button will change to "See learning", which lets you view the existing entry.

2

Click the Create learning button.

A modal will appear where you can:

• Select the impact of the campaign (Positive, Neutral, Negative, Unconclusive).

• Select the value of the campaign (Surprising, Expected, Undefined, Biased, Push further, No impact).

• Optionally, add detailed feedback (up to 4000 characters).

3

Click Save learning to submit.

The learning will be stored and linked to the campaign.