Keyword Message Received

How to Use the “Keyword Message Received” Event in Botassium
When you want your WhatsApp automation to respond only to specific words or phrases, the “Keyword Message Received” event in Botassium is the tool to use.
This guide walks you through setting up keyword-based automations that respond only when a user message contains the keywords you define.
What is the “Keyword Message Received” Event?
The Keyword Message Received node is an event trigger that activates only when an incoming message contains one or more predefined keywords.
Use this when you want to:
Route conversations based on user intent
Detect commands like “HELP”, “ORDER”, or “LOCATION”
Handle FAQs or common requests automatically
How to Set It Up
Open the Automations Section
From your Botassium dashboard, go to the Automations tab.Create or Edit a Flow
Choose an existing flow or create a new one.Add the “Keyword Message Received” Node
Find this event under the Events section and drag it into your flow.

Define Your Keywords
In the settings panel, type the words or phrases you want to listen for (e.g.,price
,book now
,support
).
You can match exact words or choose to detect them anywhere in the message.
You can also choose to ignore listenting to these keywords inside WhatsApp groups.

Connect to Actions or Conditions
Based on the keyword received, you can:Send a response
Branch to different flows
Activate business logic (like checking availability or booking appointments)
Example Use Case
You run a service business and want users to type “BOOK” to start the reservation process. Your automation might look like this:
The event Keyword Message Received listens for the word “BOOK”.
Once detected, it triggers a sequence that asks for the user’s preferred date and time.
It then stores the request in a database or sends it to your admin team.
This event is available for WhatsApp and is especially useful in chat-driven businesses, support bots, e-commerce assistants, and lead capture scenarios where you expect specific keywords from users to guide the conversation.