dataclean.to

Clean Duplicates from Klaviyo Profile Data

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12

Klaviyo creates separate profiles for email and SMS contacts, and integration syncs from Shopify, WooCommerce, and other platforms add profiles that may already exist under different identifiers. A customer who subscribed to emails on your website and later opted into SMS from a post-purchase flow can end up with two Klaviyo profiles that track engagement independently. dataclean.to identifies these cross-channel duplicates and profiles created by overlapping platform integrations.

The Problem

Klaviyo's profile-based billing means every duplicate profile increases your monthly cost. More critically, duplicates break Klaviyo's segmentation and flow logic. A customer with two profiles might receive a win-back flow because their email-only profile shows no recent purchases, while their SMS profile has the purchase event. Predicted CLV calculations are skewed when purchase history is split across profiles. A/B test results become unreliable when the same person is in both variants through separate profiles. Klaviyo's built-in duplicate management merges profiles with matching emails but misses SMS-only profiles that belong to existing email subscribers. Klaviyo profile management documentation

How to Fix It

1
Export profiles from Klaviyo
Navigate to Profiles in Klaviyo and export all profiles as CSV. Include email, phone number, first name, last name, consent status, source, total order value, and any custom properties used in your flows.
2
Upload the CSV to dataclean.to
Upload the exported profile data. The tool matches profiles by comparing emails, phone numbers (after normalization), and names to identify the same person across separate email and SMS profiles.
3
Review cross-channel duplicate clusters
Examine groups of profiles flagged as duplicates. The tool shows which profiles are email-only, SMS-only, or both, along with differences in consent status, engagement metrics, and custom properties.
4
Merge duplicate profiles
Consolidate duplicates into single unified profiles. The merged entry combines email and phone identifiers, preserves consent for all channels, and aggregates order values and engagement data.
5
Export the clean profile list
Download the deduplicated CSV. Use the merge recommendations to clean Klaviyo profiles through the platform's merge feature or API, ensuring each customer has a single profile with full cross-channel data.

Frequently Asked Questions

How does the tool handle email and SMS profile duplicates?
Profiles that share a phone number but have different (or missing) email addresses are matched by combining phone number and name comparison. The tool identifies these cross-channel pairs so you can merge them into unified profiles with both contact methods.
Will merging profiles fix flow triggering issues?
Yes. Once duplicate profiles are merged in Klaviyo, all purchase events, email engagement, and SMS interactions exist on a single profile. Flows and segments evaluate the complete customer history instead of a fragmented view.
Can the tool identify duplicates created by Shopify sync?
Yes. Shopify integration often creates new Klaviyo profiles when customers check out with a different email than their marketing opt-in. The tool matches these by phone number or name to identify which Shopify-synced profiles are duplicates.

Example: Input → Output

nameemailphonecitystatus
Alice Johnsonalice@example.com+1-555-0101New Yorkactive
alice johnsonALICE@EXAMPLE.COM5550101new yorkActive

Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Cleaned Customer Data",
  "description": "Normalized customer records with standardized fields",
  "keywords": ["customer data", "CRM", "contact list"]
}
💡 How it works: Consistent data formatting reduces import errors and makes your dataset compatible with downstream tools.

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