Repairing a Base44 CRM migration with missing data

The migration context

The project involved moving an established CRM dataset into a Base44 application used for contacts, leads, team members, reminders, candidates, pipelines, and day-to-day administration. The import needed to preserve useful relationships and remain safe for a live, role-aware system.

The client and records are intentionally unnamed. The archive structure, investigation, completion counts, validation checks, and production outcome described here are based on the real migration, while private business data remains confidential.

Why the import looked broken

The first uploaded archive contained six entries and only one entity file: TeamMember.json. Its manifest identified it as a team-members export phase, while contacts, leads, comments, candidates, reminders, activities, invitations, and other phases were absent.

The importer processed the TeamMember data it received and skipped the missing phases. That made the result look like an importer or interface bug, but the missing records had never been included in that archive.

• Inspect the archive instead of judging only the progress screen
• Compare the manifest with the expected export phases
• Confirm which entity files are physically present
• Separate skipped data from failed data
• Avoid rewriting a working importer before proving the input is complete

How I isolated the real failure

I traced the importer's phase handling and matched each skipped area to the contents of the uploaded bundle. TeamMember processing was present; the other expected datasets were not. This established that the interface was reporting the available work rather than silently losing records.

I then used the migration job records and entity totals to distinguish incomplete export input from unfinished processing. That created a reliable checklist for the full run instead of relying on a single success message.

Completing the full migration

The complete workflow covered both per-user and all-user phases. Final job verification showed 525 per-user jobs and 69 all-user jobs complete, with no migration jobs left running, pending, or queued.

Profile-to-team-member links were corrected using secondary and additional email matches where a primary email alone was not enough. This protected account ownership and team access while preserving the migrated records.

• Run every required export and import phase
• Verify that no jobs remain queued or in progress
• Compare final entity totals with the migration records
• Resolve profile and team-member relationships
• Keep role-based data protection active during the handoff

The verified data result

The finished system contained 20,949 contacts, 16,344 leads, 3,096 team members, 10,393 reminders, and 1,522 candidates. Duplicate checks across the key entities returned zero duplicates, and relationship checks returned zero orphaned records.

The A/B List, Pipeline, Contacts, Bulk Categorizer, Reminders, invitations, notifications, access flow, and Admin areas all referenced the live tables. Row-level security remained in place, so the migration did not require weakening production access rules to make the screens work.

What buyers can learn from this repair

When a Base44 migration appears to miss data, first determine whether the source export, import processing, relationships, or page query is responsible. Those layers can produce the same visible symptom but require very different fixes.

A useful handoff should prove more than a completed progress bar. Ask for final record totals, job-state checks, duplicate and orphan validation, account-link verification, permission checks, and confirmation that the actual business screens use the migrated data.