Every quote request is a potential deal — but only if it's handled quickly, properly, and without things falling through the cracks. What if instead of copy-pasting emails and pinging teammates manually, your entire process just... ran itself?
This automation makes it happen: it captures form submissions, notifies your sales team on Slack, stores leads in Airtable, and sends an email confirmation to the client — all in one seamless n8n flow.
This node listens for incoming quote requests from the Tally form.
The data arrives as an array inside body.data.fields
. Each field has a label
and a value
that we’ll need to map manually.
This step extracts usable values from the raw form data.
Example mapping:
Name = {{ $json.body.data.fields[0].label }}
Email Address = {{ $json.body.data.fields[1].value }}
Type of Service Needed = {{ $json.body.data.fields[2].value }}
Estimated Budget = {{ $json.body.data.fields[3].value }}
Preferred Timeline = {{ $json.body.data.fields[4].value }}
Additional Details or Questions = {{ $json.body.data.fields[5].value }}
We send the cleaned fields into a database (CRM) in Airtable.
Each quote submission becomes a new record with all project details.
This node notifies your sales team immediately in a Slack channel.
Message format:
:new: *New quote request received!*
👤 Name: {{ $json.fields.Name }}
📧 Email: {{ $json.fields.Email }}
💼 Service: {{ $json.fields["Type of Service"] }}
💰 Budget: {{ $json.fields["Estimated Budget (€)"] }}
⏱️ Timeline: {{ $json.fields["Preferred Timeline"] }}
📝 Notes: {{ $json.fields["Additional Details"] }}
This node simply delays the email by 5 minutes.
Why? To give a human salesperson time to reach out manually before the automated confirmation goes out. It adds a personal buffer.
Message body:
Hi {{ $('Edit Fields').item.json.Name }},
Thanks a lot for your quote request — we’ve received your information!
Our team will get back to you within the next 24 hours to discuss your project.
Talk soon,
— The WebExperts Team
With this automation in place:
All this without writing a single line of backend code. It’s fast, scalable, and business-ready.