Add "Education" Tag to Shopify Customers with .edu Email Addresses

3 min setup
No coding required
Runs automatically

Easily segment your customer base by tagging customers who register with an .edu email address. This MESA workflow template detects new customers with an .edu domain and automatically adds an “education” tag to their profile. Use this tag to create targeted email campaigns, offer exclusive discounts, or recommend products tailored to educational needs, helping you connect with this specific audience.

How it works

3 steps to start tagging customers when they place orders using .edu email addresses

Order Created

App connector: Shopify• Time to complete: 0 minutes (Auto-configured)

Why this matters: This trigger monitors your Shopify store for new orders and captures the customer's email address, which determines whether they qualify for educational discount tagging.

When a new order is placed in your Shopify store, this step automatically captures all the order details including the customer's email address. The trigger runs continuously in the background and requires no configuration from you - it's designed to catch every order as it happens. Once an order is detected, it passes the complete order data, including customer information and email address, to the next step for processing.

Filter: Check for ".edu" in email address

App connector: Filter• Time to complete: 0 minutes (Auto-configured)

Why this matters: This filter step checks if the customer's email contains ".edu" to determine if they qualify for educational discount tagging before any actions are taken.

The filter examines the email address from the order and checks if it contains ".edu" anywhere in the address. Only orders from customers with .edu email addresses will continue through the workflow - all other orders stop here. This prevents non-educational customers from receiving the educational discount tag. The filter is already configured to look for ".edu" in the email field and requires no setup from you.

Customer Add Tag

App connector: Shopify• Time to complete: 1 minute

Why this matters: This action applies the educational discount tag to qualifying customers, making them easily identifiable for future promotions and discount applications.

This step adds a customizable tag to the customer's profile in Shopify when their email contains ".edu". You can specify exactly which tag gets applied by filling in the "What tag would you like to add to the customer?" field - the default suggestion is "education" but you can change this to anything that fits your tagging system like "edu-discount", "student", or "academic". The tag gets permanently added to the customer's profile, making it easy to create customer segments, apply automatic discounts, or run targeted marketing campaigns for educational customers.

Frequently asked questions

Will this tag existing customers who place new orders with .edu emails?

Yes, the workflow triggers on every new order, so existing customers who use .edu email addresses will get tagged when they place their next order. The tag will apply to their customer profile going forward, but won't retroactively tag them for past orders.

What happens if a customer already has the educational tag and places another order?

Shopify's tagging system prevents duplicates, so customers who already have the tag won't get multiple copies. The workflow will attempt to add the tag, but Shopify will simply ignore the duplicate request without causing errors.

Can I use this workflow to tag customers based on other email domains like .org or .gov?

Absolutely. You can modify the filter step to check for different email domains by changing ".edu" to ".org", ".gov", or any other domain extension. You can also create multiple versions of this workflow to apply different tags for different domains.

Make this template your own!

Customize this workflow even further:

• Set conditional tagging rules
• Add additional filters to create different tags based on email domains
• Chain discount application actions
• Store educational customer data
• Deploy AI agents for verification

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