# Using Logs & Analytics

The **Logs & Analytics** tab is your view of every message sent through Threadly — what was sent, where it went, and how it performed. Find it in the Threadly Home tab in Slack.

## What you'll see

Each row in the Logs view shows:

* **Message name** — the internal label you gave the message
* **Send date** — when it was delivered (or the scheduled send time)
* **Destinations** — how many channels or DMs it was sent to
* **Status** — Sent, Scheduled, Draft, or Failed
* **Engagement summary** — a quick view of clicks and reactions

## Filtering your history

Use the filters at the top to narrow down:

* **Date range** — find messages sent in a specific window
* **Sent by** — your messages only, or all team messages
* **Channel** — messages sent to a specific channel

## Reading per-message engagement

Click any row to expand the full analytics for that message:

| Metric                | Free | Premium |
| --------------------- | ---- | ------- |
| Channels delivered to | ✓    | ✓       |
| Total opens           | ✓    | ✓       |
| CTA click count       | ✓    | ✓       |
| Form submission count | ✓    | ✓       |
| Per-user click detail | —    | ✓       |
| Per-user open detail  | —    | ✓       |
| Export to CSV         | —    | ✓       |

On **Premium**, click into any metric to see which individual users engaged and when.

## Privacy controls

When composing a message, two privacy settings control what others can see:

* **Hide from team Logs** — only you see this message’s entry in the shared Logs view
* **Approved viewers** — allow specific team members to view engagement details for this message

## Workflow message analytics

Messages sent through a [Workflow](/threadly/workflows/introduction-to-workflows.md) appear in Logs the same way as manual sends. You can also open the Workflow itself and click **View Logs** to see per-run delivery stats alongside message performance.


---

# 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://threadly.gitbook.io/threadly/analytics/using-logs-and-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.
