# Predictive analytics

During campaign creation, Clickatell AI will provide analytics that take into account historical campaign performance data. Forecasting campaign success before sending allows for adjustments to be made to the campaign to ensure optimal engagement.

<figure><img src="/files/ytAFYBTCaEOR4CqPKGYI" alt=""><figcaption></figcaption></figure>

Predictions include:

* Overall Engagement Score for the campaign being created.
* Read Rate.
* Reply Rate.
* Bounce Risk.
* Optimal Send Time - provides the optimal send time for sending the campaign.
* Message Tone Suggestions - Clickatell AI analyzes intent-level chat sentiment for the client on our platforms and recommends message tone adjustments for the campaigns to improve engagement.

{% hint style="info" %}

* Predictions are estimates based on historical data, and are intended to optimize chances of success.
* If very little user data is available, predictions are based on industry benchmarks.
  {% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://guides.clickatell.com/broadcast-messenger/manage-campaigns/predictive-analytics.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.