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Automated Event Registration & Reminder System | Zapier
Built an automated event registration system using Zapier to streamline attendee registration, confirmations, and event reminders with minimal manual work.
The workflow starts when an attendee submits a Google Form with their full name, email, phone number, company role, preferred event, session, ticket quantity, and referral source.
The submitted information is automatically formatted, added to a Google Sheets attendee database, and processed through Zapier Paths to determine the appropriate event. Based on the selected event, the workflow automatically sends a personalized confirmation email and handles the appropriate follow-up communication.
The system also includes scheduled delays for reminder emails, helping ensure attendees receive timely updates as the event date approaches without requiring manual follow-ups.
What it does:
Collects attendee information through a clean registration form
Automatically formats submitted data
Adds new registrations to the attendee database
Routes attendees based on their selected event
Sends automated confirmation emails
Schedules reminder emails before the event
Eliminates repetitive manual follow-ups
Result:
A streamlined registration system that keeps attendee information organized and ensures confirmations and reminders are sent automatically, allowing the event team to focus on the event rather than administrative follow-ups.
Having the form data flow directly into the sheet and fire reminder emails removes the manual copy paste.
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Most online stores lose a large share of their shoppers at checkout. They add items to their cart, get distracted, and never come back. This workflow wins some of those sales back automatically, with no manual follow-up.
What it does
When a customer abandons a cart, the workflow logs it and waits. If the customer hasn’t bought after 1 hour, it sends a friendly reminder email. If they still haven’t bought 24 hours later, it sends a stronger “last chance” email with a discount code. Customers who buy at any point never get another email.
How it works
A webhook receives the abandoned-cart event (customer name, email, cart items, Cart ID).
The cart is logged to Google Sheets with the status pending.
The workflow waits 1 hour, then re-reads that cart’s row so it sees the latest status.
If the status isn’t purchased, a personalised reminder goes out through Gmail and the status becomes reminder 1 sent.
After a further 24 hours, the status is checked again. If the customer still hasn’t bought, a final email with a discount code goes out and the status becomes reminder 2 sent.
A separate purchase workflow updates the sheet to purchased as soon as an order completes, which stops the sequence.
Why it’s reliable
Every cart is tracked by its own Cart ID, so simultaneous customers never overwrite each other.
The status is re-checked after every wait, so nobody gets a reminder after they’ve already bought.
The Google Sheet works as a live dashboard of where every cart stands.
Tools used: n8n, Webhooks, Google Sheets, Gmail, Wait and IF logic.
Smart workflow! 🙌 I like how the purchase checks prevent unnecessary follow-ups and keep the customer experience smooth.
My first n8n template is now live in the official n8n library, and it is free to use.
After a sales call, most people either rush the follow-up email or forget it. This workflow does the first draft for you.
When Fireflies finishes transcribing a call, it:
pulls the full transcript
uses OpenAI to write call notes: a summary, open questions, the next step and the outcome
saves a follow-up email to the contact as a Gmail draft
logs the call in Google Sheets and emails you the notes
Nothing is sent to the contact automatically. The follow-up waits in your drafts until you check it and press send.
Works with the free Fireflies plan and n8n Cloud.
Get it here: https://n8n.io/workflows/20963
Congrats on getting it approved. Drafting instead of auto-sending is the right default. One edge case worth a guard: calls where the transcript comes back empty or cut short, otherwise the model writes a confident follow-up from almost nothing.