Remove Labels from Chat

How to Use the “Remove Labels from Chat” Action in Botassium

Labels are useful for organizing WhatsApp conversations—but just as important is the ability to remove them when they’re no longer relevant. The “Remove Labels from Chat” action in Botassium allows you to automatically clear one or more labels from a chat during your automation flow.

This guide explains how to use it to keep your chat labels clean and dynamic based on user behavior.

What is the “Remove Labels from Chat” Action?

The Remove Labels from Chat node is an action that deletes selected labels from the current WhatsApp conversation.

Use it to:

  • Clean up outdated or temporary labels (e.g., “New Lead”, “Waiting for Response”)

  • Update a user’s status in your flow

  • Transition contacts between pipeline stages

  • Maintain an accurate labeling system for filtering and segmentation

How to Set It Up

  1. Open Your Automation Flow
    In the Botassium dashboard, create or edit a flow where labels should be removed.

  2. Add the “Remove Labels from Chat” Node
    Drag it into your flow at the point where a label is no longer needed.

  3. Choose One or More Labels to Remove
    Use the dropdown to select the labels you want to remove. These should be labels that were previously added to the contact, either manually or through automation.

  4. Chain It After a Condition or Event
    You can trigger this after:

    • A user provides valid input

    • A status changes (e.g., payment confirmed)

    • A support case is closed

Example Use Case

A lead is initially tagged as “Awaiting Payment”. Once they complete the transaction:

  1. A condition node detects the payment confirmation

  2. The Remove Labels from Chat action removes the “Awaiting Payment” label

  3. Optionally, a new label like “Paid Customer” is added right after

The Remove Labels from Chat action is available in all WhatsApp automation flows and is especially helpful for pipeline management, behavioral segmentation, customer lifecycle tracking, and inbox cleanup.

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