EmotionsAI Reporting breakdown and filters

EmotionsAI filter breakdowns allow you to filter the campaign reports based on 10 emotions segments. Those segments will help you decide on which type of element / widgets you can add to increase your conversion rates.

You can apply filters and breakdowns together in the reporting tab. This enables deeper exploration, such as crossing EmotionsAI scores with visitor segments (e.g. "new visitors on Safari").

• Filters can be applied before or after selecting a breakdown

• Reports now support preloading with EmotionsAI segments, filters, or both

• Breakdowns now highlight positive and negative segments when statistical confidence and readiness criteria are met

This unlocks a more flexible and insight-driven analysis workflow using EmotionsAI data.

Apply breakdowns anf filters

To apply the breakdowns, click on any available:

You can also add filters within the breakdown

How to identify winners and losers?

When you apply a breakdown, the opportunity view with segment highlights is selected by default so that you can access the opportunities data infographics. It highlights segmented results that have a high level of statistical significance, allowing you to quickly identify winners and losers at a glance.

Significance is reached at segment level when all 3 criteria are matching : - Conversion's Chance to win = 95% for winners (and Conversion's Chance to win =<5% for="for" losers)="losers)"> - Number of Unique Visitors = 5000 - Number of Conversions = 300</5%>

Detailed View

You can switch to Detailed View to gain deeper insights into your campaigns. These insights include Audience Size and Transaction Gain (when the goal is transactional). They can help you optimize your campaigns, even when there are no winning or losing variations.

You can display a description of each column by clicking on the info icon in the column headers.

Clear breakdown

You can clear the applied breakdown by hovering on the breakdown and clicking on the Clear button.

To learn more about EmotionsAI segments criteria, read the following article: EmotionsAI Segments criterion.