User data — what is shown in the table
The section is a table with all users of the bot or personal account. Each row is a separate lead. Each column is information about them: name, status, tags, funnel step, and other parameters. This is
Each row is a separate lead. Each column is information about them: name, status, tags, funnel step, and other parameters.
This is the second way to work with the customer database in the CRM:
Messenger is convenient for communication.
Users is for analysis, filtering, search, and working with a large number of leads at the same time.

What the Users table shows
Column | What it shows |
Name | The user's name or Username from Telegram |
Telegram ID | The user's unique ID in Telegram |
Tags | All tags assigned to the user |
Conversation start date | When the user first wrote to the bot |
Chat status | Current conversation status |
Funnel step | Which Flow stage the user is at |
The “Open” button | Go to the user’s chat |
What the Open button does
Open is an action button, not just a column with data. When clicked, the system opens the user’s chat in Messenger. This is a quick jump from the table straight to the conversation.
What Users is used for
Use the Users section when you need to:
- find a specific user
- sort the database
- see the overall picture for leads
- work with filters
- analyze activity
- bulk edit users
- create a broadcast.
Configuring columns via Columns
If the standard columns are not enough, click the Columns button in the upper-right corner of the table. Learn more in the article Column settings — what is shown in the table.
Each employee can configure the table for their own task. For example: a Buyer can see Tracker Fields and deposits; the sales department can see a unique identifier, geo, and budget; an analyst can see everything together: tags, steps, custom fields, and tracker fields. Each employee has their own table view.
What’s important to understand
The Users table shows only user data. Communication with the client happens in Messenger. Users is used for: analysis, search, filtering, segmentation, and bulk work with the database.
Frequently asked questions
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