As a store owner with over 4,000 customer accounts, I’m facing a significant challenge with duplicate customer records that’s becoming increasingly difficult to manage manually.
The Problem:
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Customers create multiple accounts using the same email or slight variations
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With thousands of accounts, manually identifying duplicates is extremely time-consuming
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The current process requires exporting to CSV, using spreadsheets to find duplicates, then merging one-by-one
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This creates data fragmentation, inaccurate customer insights, and poor customer experience
What I Need: A built-in tool within the Shopify admin that can:
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Automatically detect potential duplicate customers based on matching emails, names, phone numbers, or addresses
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Display a list of suspected duplicates with a confidence score or matching criteria
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Allow bulk merging of multiple duplicate accounts at once (not just one at a time)
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Preserve all order history, addresses, and customer data during the merge (like the current merge feature does)
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Provide merge suggestions proactively when new accounts are created
Why This Matters:
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Stores with large customer bases (1,000+ accounts) need scalable solutions
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Clean customer data is essential for accurate analytics, marketing segmentation, and customer lifetime value calculations
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Manual deduplication takes hours or days that could be spent growing the business
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This would improve data quality across the entire Shopify ecosystem
Current Workaround: Export customers to CSV → Use spreadsheet formulas to identify duplicates → Manually merge one by one through customer profiles
This feature would save countless hours for merchants and significantly improve data quality for stores of all sizes.