A/B testing

Test your ideas continuously and automatically, see when you are on track and when you need to make adjustments.

Effortless testing

We measure the impact of your experiences automatically. You will be able to see how every experience is performing in relation to the goals you set in your account, or compared to other experiences, and which audiences are most successful. You can even add as many experience variations as you like and test them against each other in an A/B/n test.

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Add page specific goals

In addition to A/B/n tests, you can also set-up page specific goals. For example, you can track the success of a page by looking at a specific CTA click. In the Insights section of you dashboard, you can then see the influence of new expereinces on both page goals and site-wide objectives.

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Analyze your results

Unless will provide you with an overview of the user experience of your website. The dashboard shows calculations of the engagement, attention span and stickiness of your visitors and their lead score. Additionally, you can compare the performance of a personalized journey to a non-personalized one and get detailed performance results for your goals, audiences and experiences.

All this helps you see what's going well and getting results, and what needs to be adjusted.

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Simple multi-arm bandit testing

Did you ever get frustrated about experiments taking so long? You can now let your experiments run super fast starting with a 50/50 control group, reaching significance very quickly. When a significant and positive result is reached, the experiment will scale down the control group automatically - so more visitors will benefit.

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"The variety of components provided within Unless came in handy and meant that we didn’t have to build something from scratch. All you need to do is add your content and adjust the colors and styling to match your brand identity, great for a small marketing team!"
MATT HICKS, Head of Marketing at ALE

Frequently asked questions

Absolutely. You can run split tests, A/B/n tests, validate continuously with a control group, and make use of micro A/B tests too. The results are shown in your dashboard, in relation to the goals you've set.

Whether a visitor is a member of the control is decided upon their first visit and saved in a cookie. Changing the control group %, changes how new visitors are distributed between control and participants. However, returning ones are not reassigned. The numbers will realign over time.