> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kameleoon.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Use AI Targeting in a segment

> Use AI Targeting to create segments that target visitors based on their real-time predicted probability of converting for a specific goal.

<Note>
  AI Targeting is an add-on available in both Web Experimentation and Feature Experimentation. Contact your Customer Success Manager for details.
</Note>

Kameleoon AI Targeting uses machine learning to calculate propensity scores in real time, so you can target visitors based on their likelihood to convert for a specific goal.

## Prerequisites

Before you can use the **Likelihood to convert** condition in a segment, you must:

1. Enable AI Targeting on at least one goal. See [Enable AI Targeting on a goal](../goals/enable-ai-predictive-targeting-on-a-goal).
2. Have at least one [trigger](../triggers/create-a-trigger) configured. For guidance on picking a meaningful trigger, see [How to choose the right trigger](../goals/enable-ai-predictive-targeting-on-a-goal#how-to-choose-the-right-trigger).
3. Wait for the AI model to complete its learning phase (7 days and 100,000 visits by default).

## Create or edit a segment with Likelihood to convert

1. Click **Settings** > **Segments**.

2. Click **New segment** to create a segment, or click **Edit** on an existing segment.

3. In the segment builder, expand the **Conversions** section.

4. Click **Likelihood to convert**.

<Frame>
  ![Condition selection](https://storage.googleapis.com/kameleoon-storage-documentation/user-manual/images/assets/segments/target-users-based-on-likelihood-to-convert/define-segment.png)
</Frame>

1. Select a likelihood range. You can choose one of the predefined buckets — **Very low**, **Low**, **Moderate**, **High**, or **Very high** — each representing roughly 20% of the eligible audience. Alternatively, select **Personalized** to define a custom range between **0** and **100**. A score of **0** indicates the lowest predicted conversion probability relative to other visitors, and a score of **100** indicates the highest.
2. Choose the goal on which you enabled AI Targeting.
3. Choose the trigger to associate with the prediction.
4. Click **Save** to confirm.

## AI model status badges

Every segment that uses the **Likelihood to convert** condition displays a status badge, so you can monitor the AI model's progress at a glance.

| Badge           | Color  | Meaning                                                                                                                                                                                                           |
| --------------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **AI Learning** | Blue   | The model is collecting data. By default, it requires 7 days and 100,000 visits to complete training. During this phase, the AI condition is inactive, and the segment falls back to its other active conditions. |
| **AI Active**   | Green  | The model is operational and evaluates visitors in real time.                                                                                                                                                     |
| **AI Alert**    | Orange | The learning phase is taking longer than expected, usually due to low traffic.                                                                                                                                    |

### View learning progress

Hover over the **AI Learning** badge to see a tooltip with the exact training progress:

* **Time:** X of 7 days elapsed
* **Traffic:** X of 100,000 visits collected

<Frame>
  ![AI Learning](https://storage.googleapis.com/kameleoon-storage-documentation/user-manual/images/assets/segments/target-users-based-on-likelihood-to-convert/ai-learning-segments.png)
</Frame>

<Warning>
  While the model is in the **AI Learning** state, the Likelihood to convert condition is inactive. The segment targets visitors using only its other active conditions.
</Warning>

## Monitor AI targeting status from the Experiments dashboard

You can check an AI model's status without leaving the Experiments dashboard:

1. Hover over the information icon associated with an experiment.
2. In the pane that opens, hover over the **sparkles** icon next to the segment.
3. A tooltip displays the current AI status for that segment.

<Frame>
  ![AI targeting from Experiments dashboard](https://storage.googleapis.com/kameleoon-storage-documentation/user-manual/images/assets/segments/target-users-based-on-likelihood-to-convert/ai-active-experiments.png)
</Frame>

## Use the segment in a campaign

After the AI model reaches **AI Active** status, add your segment to:

* A [web experiment](../../experimentation/web-experimentation/prompt-based-experiments/pbx-build/create-a-prompt-based-experiment)
* A [personalization](../../web-personalization/set-up-and-launch-a-personalization) campaign
* A [feature experiment](../../experimentation/feature-experimentation/create-and-manage-flags/create-a-feature-flag)