Automation PlatformsMake.com WhatsApp Integration
Visual scenarios that branch, loop and transform — with WhatsApp in the middle.
Make.com is the option to reach for when the automation is not a straight line. Its visual scenarios add routers, filters, iterators and data transformation on top of a connection to more than 1,800 apps, and Libromi Connect sits in that canvas like any other module — triggered by a conversation, or triggering one.
Libromi Connect
WhatsApp Business Platform
Make.com
Two-way connection
Where it shows up
- Chatbot builder node
- Webhooks & REST API
- Broadcast audiences
Automations that need more than one path
Simple triggers cover simple cases. Real operations have conditions: this customer type goes to that team, orders over a threshold need approval, a list of line items has to be processed one at a time. Trying to express that as a chain of single-step rules produces a tangle nobody wants to touch six months later.
What moves, and which way
Make.com to WhatsApp
Send messages from a scenario
Any Make scenario can send a template or session message through Libromi Connect at the point it decides to.
Bulk operations
Iterate over a list — orders, bookings, invoices — and message each contact with their own values.
Contact updates
Write processed data back onto the Libromi contact so it is available to agents and flows.
WhatsApp to Make.com
Scenario triggers
A chatbot flow calls a Make scenario with everything it has collected, mid-conversation.
Routing decisions
Make's routers and filters decide what happens next based on the data the flow sent.
Multi-app sequences
One conversation event can drive a chain of actions across several apps in the right order.
Make handles the branching and the data shaping, so your chatbot flow stays readable.
What you get
1,800+ apps, visually connected
Build the automation on a canvas instead of a list, with every step and its data visible.
Routers, filters and iterators
Branch on conditions, filter out what should not proceed, and loop over lists — things a single-step rule cannot do.
Data transformation built in
Reformat dates, concatenate fields, parse JSON — reshape the data before it reaches the next app.
Both directions supported
A conversation can start a scenario, and a scenario can start or continue a conversation.
What you can build with it
Conditional order handling
Route an order to a different fulfilment path based on value, region or product type, then message the customer accordingly.
Scheduled batch messaging
Pull a list from another system on a schedule and message each person with their own details.
Multi-step approvals
Collect a request in chat, run it through approvers in other tools, and reply in the same conversation with the outcome.
A logistics company with tiered customers
Delivery updates had to go out differently for contract clients and walk-in customers, and the data lived across a TMS, a spreadsheet and an accounting tool. A linear automation could not express the rules.
The result
One chatbot flow serves two customer types with completely different logic behind it, and the branching lives where it is easy to see.
- 1
The chatbot captures a delivery enquiry and calls a Make scenario with the reference number.
- 2
A router splits contract clients from retail customers.
- 3
Each branch pulls status from a different system and formats the reply differently.
- 4
Make sends the message back through Libromi Connect into the same WhatsApp conversation.
How to connect it
- 1
Add the module in Make
Connect Libromi Connect inside Make and authorise it with your API credentials.
- 2
Design the scenario
Lay out the triggers, routers and actions on the canvas, and map the fields between modules.
- 3
Call it from a conversation
Trigger the scenario from a chatbot flow, or let it message customers on its own schedule.
Frequently asked questions
Related integrations
Teams that connect this one usually connect these too.
Build the automation properly
Connect Make.com and put branching logic around your conversations.