Data Sync Errors

A practical example

Example: a contact lacks a required phone-format field in the CRM, so the sync rejects it.

A good setup flags the record with the exact reason; a poor one drops it and the marketing list quietly shrinks.

What to evaluate before investing

• Ask for the vendor's error taxonomy: which failures are retried automatically, which need human action, and where each is reported.
• Test a deliberate bad record and watch whether the failure is visible in the UI within minutes, with a readable reason.
• Check whether partial batch failures retry only the failed records or reprocess the whole batch, duplicating work.

Limitations and tradeoffs

Automatic retries can mask systemic problems: if every record fails and the system retries forever, you get noise instead of signal. Look for retry caps and escalation, not just retries.