Understanding the experiments section

Estimated 5 minute read
|
Updated Oct 10, 2024, 5:18 PM EST
You will learn

You will learn

Learn how to easily analyze the success of your A/B tests using the experiments section. The experiments section gathers all A/B tests conducted in campaigns and flows, and offers insights into the tested elements, the marketing channels used, success rates, and other data.

Navigating to the experiments tab

Navigating to the experiments tab

Head to Analytics > Experiments > A/B tests.

Once you are in the Experiments section, you will see the Campaigns tab by default. However, you can click between the Campaigns tab or the Flows tab to review A/B tests specific to each of these channels. Only owners, admins, managers and analysts have access to the experiments section.

Only owners, admins, managers and analysts have access to the experiments section.
Using the search and settings options

Using the search and settings options

At the top of the Campaigns or the Flows tab, there are options for customizing your A/B tests view and the ability to search for a specific test.

settings and search menu.jpg

Searching for a test

Searching for a test

Within the search field on the top left, enter the name of your test or a keyword associated with your test (e.g., “Testing BFCM welcome” or “welcome”). Once you enter a search and press enter, your view will narrow to a list of results that match your criteria.

The search functionality is for the Campaigns and Flows tabs independently. In other words, your searches will be limited to results in each tab.
Adjusting settings options

Adjusting settings options

The dropdown menus at the top of each tab provide more ways to narrow and customize which A/B test results you see for either campaigns or flows.

Settings changes only apply to the Campaigns and Flows tabs independently. In other words, any choices from these dropdowns will be limited to results in each tab.

Timeframe settings
In the dropdown under Timeframe, you can choose to review your A/B tests results from:

  • Today
    This includes all tests that had a start date within the last day.
  • Last 7 days
    This includes all tests that had a start date within the last 7 days.
  • Last 30 days
    This includes all tests that had a start date within the last 30 days.
  • Last 90 days
    This includes all tests that were run or are currently running within the last 90 days.
  • This year
    This includes all tests that had a start date within the present calendar year to date.
  • Last year
    This includes all tests that had a start date in the prior calendar year. For example, if it’s currently 2023, this would be all tests with start dates from 2022.
  • All time
    This includes all tests that were run or are currently running.
Note that “All tests” in the above definitions include currently running, ended, or cancelled tests.

Marketing channel settings
In the dropdown under Channel, you can choose to narrow your results from:

  • All
    This option shows both email and SMS A/B tests.
  • Email
    This option shows just email A/B tests.
  • SMS
    This option shows just SMS A/B tests.

Metric settings
In the dropdown under Winning metric, you can choose to narrow your results to those only containing certain winning metrics, including:

  • Open rate
    Only see those A/B tests using Open rate as the winning metric.
  • Click rate
    Only see those A/B tests using Click rate as the winning metric.
  • Placed order rate
    Only see those A/B tests using Placed order rate as the winning metric.
  • All
    See all winning metric options together (Open rate,Click rate, and Placed order).
Learn more about configuring A/B tests for emails, SMS, or flows, including what winning metric to use for your particular testing needs.

Filter settings
In the dropdown under More filters, you have options to further narrow in on the particular test types, including:

  • Test type (only on the Campaigns tab)
    In this secondary dropdown, choose All to see all types of tests. Otherwise, choose either Content test for A/B tests related to content or elements of your emails (e.g., tests run on using different preview text and subject lines), or Send time test for emails where you test the best send time.
  • Status
    In this secondary dropdown, choose either In progress to only see those A/B tests currently running or Completed to see those tests that are finished.

If you wish to clear any of the search results or settings you may have adjusted, click on Clear.
clear option.jpg

Reviewing your collected A/B test results

Reviewing your collected A/B test results

By default, both the Campaigns and Flows tab will gather all finished, currently running, or cancelled A/B tests.

The table will not have individual listings for specific variations of an email, SMS, or flow A/B test. Instead, data for each main campaign or flow will be listed. You can click on the test name itself from the table to see the variations in more detail.

These table will contain the following columns:

  • Test name
    The actual name of your campaign. For flows this will instead be the name of your test. This column will also include the winning metric used in the test for both campaigns and flows.
    Note that by clicking on the test name you will be taken to the A/B testing results page to see more details on your specific variations, data, and win result.
  • Channel
    The marketing channel being tested, either SMS (as indicated by the speak bubble icon) or email (as indicated by the envelope icon).
    Note that push notifications cannot currently be A/B tested.
  • Test type (only on the Campaigns tab)
    This will show whether the test is a content test (as indicated by the pencil icon) or a send time test (as indicated by the clock icon).
  • Start date
    When the A/B test was originally started.
  • Test size
    How many profiles were included in the A/B test across all variations.
  • Win probability
    How likely it is a variation will yield better results based on how well it outperforms the other variation(s). This percentage represents one of those variations.
    Note that a flow message variation is considered statistically significant when at least 500 recipients have received each variation, and the variation has at least 90% win probability. While a campaign is considered statistically significant when at least 50 recipients have received each variation, and the variation has at least 90% win probability.
  • Status
    Either a green status showing that a test completed or gray status showing that it’s still in progress.
By default, this table will sort by the most recently started test. However, you can use the arrows next to Test name, Channel, Test type, Start date, or Status to sort by ascending or descending order in each of these columns.
Additional resources

Additional resources

How to A/B test campaign emails
How to A/B test a flow email
How to A/B test SMS campaigns
Understanding statistical significance in Klaviyo campaigns
Understanding statistical significant in flows

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