Foundation · 2 min
What you need to know
What’s the difference between deleting and anonymizing customer data?
Deletion removes data; anonymization irreversibly changes it, so a person is no longer identifiable by reasonably available means. Pseudonymized data can still be personal data.
When might ecommerce data be anonymized instead of deleted?
Anonymization may preserve aggregate trends or required records when identity is no longer needed, and the transformation is genuinely irreversible.
What happens to analytics when customer data is deleted?
Remove direct identifiers and user-level profiles as required, preserve only valid anonymous aggregates, and prevent deleted identity from being reattached through another key.
What happens to order history when personal data is removed?
Keep the minimum order record required for continuing purposes while removing or separating unnecessary customer identity. Preserve financial and audit integrity.
How should customer deletion work across connected systems?
Use a central request or event with stable identifiers, provider-specific actions, retries, evidence and reconciliation so every connected system reaches an approved final state.
How should deletion failures be tracked?
Track each system, attempt, result, error, owner and deadline in a deletion ledger, retry temporary failures and escalate unresolved or permanent exceptions.
A quick store check
Delete a test customer and reconcile store, CRM, analytics, support, apps, exports and scheduled backup handling.
Foundation · 2 min
Frequently asked questions
Is removing a name enough to anonymize data?
Usually not. Other identifiers and combinations may still link the record to a person.
Should a deletion job silently skip an unavailable app?
No. Record the failure, retry or escalate and do not mark the request complete prematurely.