IMPORT QA · NOTHING-LOST VERIFICATION · FIXED PRICE
Friday's migration "went fine" — the wizard said so. But nobody can say whether all 8,000 contacts actually arrived, or whether some arrived twice, or whether phone fields got quietly mangled on the way in. You send us the export from before the import and the export from after. We show you exactly what was lost, duplicated, or changed — with counts that reconcile to the penny.
You exported 8,214 records. The CRM says 8,207. Or 8,220. Everyone shrugs — maybe it deduplicated something? Maybe some bounced? Nobody knows, and the answer is buried somewhere in importer logs nobody kept.
Importers trim, reformat, drop trailing digits, mangle dates. One rep notices a weird record; how many others look like it? Checking by hand means opening records side by side for a week.
Your boss, your client, or legal will eventually ask: how do you know nothing was lost? A screenshot of the importer's success screen is not an answer.
We never touch your CRM. The whole check runs on the file you exported before the import and the file you export after — sandbox-safe by construction.
IMPORT QA VERDICT: FAIL pre-import rows : 8,214 post-import rows: 8,213 records lost in transit (MISSING): 2 unexpected additions (EXTRA) : 1 silent cell changes (CHANGED): 3 duplicates created by import (DUPPOST): 2 totals[lifetime_value]: pre=$412,330 post=$411,180 expected-from-findings=$411,180 → RECONCILES
Every number traces to a CSV listing the exact records. A PASS reads the same way — zeros everywhere, totals reconciled — which is precisely what makes it worth having.
One pre/post pair up to 1,000 rows, inside 24 hours. See the verdict format on your own data.
Up to 10,000 records per side. Declared key + column map agreed upfront.
Found losses? We re-run the identical check on your corrected re-import so you close the incident with proof.
Anonymize them if you like — the method shows either way. Standard comparisons run $300–500 per pair ≤10k rows, deliver-then-invoice.
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Clean and map first — migration prep beats discovering losses afterwards.
Cleanup with a full change log, so only clean data ever enters the new system.
Scripted cross-source reconciliation — exact rules only, ambiguity flagged.