Clean Customer Email Data from BigCommerce Exports
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
BigCommerce stores collect customer email addresses through account registrations, guest checkouts, and newsletter signups. Over time, these lists accumulate invalid addresses from typos during checkout, disposable emails used for one-time purchases, and accounts created by bots. dataclean.to validates your BigCommerce customer email export so your marketing emails reach real customers.
The Problem
BigCommerce customer exports mix account-registered customers with guest checkout entries, creating duplicates where the same person has both. Email addresses entered during mobile checkout often contain typos. Newsletter subscribers may use disposable email addresses. Customer groups and store credits complicate deduplication. The export includes timestamp formatting that varies by store timezone settings. BigCommerce customer export documentation
How to Fix It
1
Export customers from BigCommerce
In BigCommerce admin, go to Customers and export your customer list as CSV. Include email, name, customer group, order count, and signup date fields.
2
Upload to dataclean.to
Import the BigCommerce customer CSV. The platform validates every email address and flags common checkout typos, disposable domains, and bot-generated accounts.
3
Fix email typos and validate
Correct common domain misspellings (gnail.com, hotmial.com, outlok.com). Validate email syntax. Check domains for active mail exchange records. Flag addresses that will bounce.
4
Merge duplicate customers
Identify customers who appear as both registered accounts and guest checkouts. Merge records by email address, preserving order history and customer group assignments.
5
Export validated customer emails
Download a clean, deduplicated customer email list ready for marketing campaigns, re-import to BigCommerce, or migration to another email marketing platform.
Frequently Asked Questions
How are guest checkout emails handled?
Guest checkout creates customer records without account registration. These entries may duplicate registered customers. dataclean.to matches by email address and can merge guest and registered records into a single entry.
Can I clean BigCommerce newsletter subscribers separately?
Yes. If your export includes a newsletter subscription field, you can filter to clean only subscribers. This is useful for maintaining a targeted marketing list separate from your full customer database.
Will cleaning affect my BigCommerce customer groups?
Customer group assignments are preserved in the cleaned data. The platform only modifies email formatting and flags invalid addresses without changing group membership or other customer attributes.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.