Real-world spreadsheet workflow

Merge Shopify Customers with Mailchimp Contacts

Join Shopify customer exports with Mailchimp contact exports by email to compare buyers, subscribers, and customer attributes. Use MergeStudio when you already have exports from both systems and need to identify which customers are subscribed, enrich customer records, or compare marketing lists with buyers.

Merge these files →See how matching works
🔒 Local processing for normal jobsXLSX · XLS · CSVNo account

Recommended MergeStudio setup

The safest merge starts with a key that means the same thing in both exports. Header names can differ; the values need to identify the same record.

Candidate match fields
  • Email address
  • Phone number as a secondary field when both exports use the same format
  • A shared customer/external ID if you intentionally mapped one
Recommended mode

Keep Everything
Keeping unmatched rows lets you see customers who are not on the list and subscribers who are not in the customer export.

Matching rules

Start with Match equivalent numbers ON, Normalize extra spaces ON, and Ignore all spaces OFF. Review the live match reach before continuing; use strict settings when formatting differences are meaningful.

Example key mapping

This is an example, not a required header name. Choose the columns in your own files that represent the same identifier.

Shopify customersShopify email
↔ matches
Mailchimp contactsMailchimp email
If you only want to add Mailchimp attributes to known Shopify customers, switch to Master + Enrich.

How to merge the files

  1. Export the data you need from Shopify customers and Mailchimp contacts. MergeStudio does not connect to those services directly; you work with the Excel or CSV files you export.
  2. Add both files to MergeStudio and select the worksheet tabs that contain the real data. If a file begins with report titles or notes, set the correct Header row before continuing.
  3. Choose Keep Everything. Keeping unmatched rows lets you see customers who are not on the list and subscribers who are not in the customer export.
  4. Choose the matching column in each file, add up to five fields if the same record needs a compound key, review Matching Rules and the live match reach, then select the output columns.

Common problems to check before you export

1

Email changes create legitimate non-matches.

2

Duplicate contacts or shared addresses need review.

3

Do not use first and last name alone as a unique customer key.

Spreadsheet contents stay on your device for normal jobs.

MergeStudio parses and merges normal Excel and CSV jobs in your browser. If a job exceeds the local safety limits, it is stopped rather than silently uploaded.

Related merge workflows

Related workflowMerge HubSpot Contacts with Stripe Customers

Combine HubSpot contact exports with Stripe customer data by email or a shared external customer ID for revenue and lifecycle analysis.

Related workflowMerge WooCommerce Orders with QuickBooks Data

Join WooCommerce order exports with QuickBooks customer, invoice, or transaction data using a shared reference or customer field.

Related workflowMerge a SKU List with Inventory

Join a product or SKU master list with inventory counts by SKU, UPC, product ID, or another shared product key.

Ready to combine your exports?

Add the files, choose the matching fields or Stack Rows, preview the result, and download a new Excel workbook.

Open MergeStudio →

Product names are used only to describe a spreadsheet workflow. MergeStudio is not affiliated with or endorsed by the named software providers. Export layouts and field names can change, so confirm your own headers before merging.