Merge Salesforce orgs without the duplicate chaos
When two orgs become one, the same accounts, contacts, and leads land twice. Data Cleanser finds and merges those cross-org duplicates natively — so the consolidated org has one record per customer, not two.
Consolidating Salesforce orgs after a merger, acquisition, or platform unification is really two jobs. First the records move into one target org; then someone has to reconcile the overlap, because the same companies and people existed in both. Data Cleanser owns that second job: once the data is in one org, you build matching scenarios, scan for the duplicates the migration created, and merge them with field-level survivorship — every step on-platform, every merge reviewed.
Why merging orgs leaves a duplicate mess
Two systems of record collide
Each org kept its own accounts, contacts, and leads. Combine them and the same customer now exists twice — with conflicting owners, stages, and field values that no import can reconcile on its own.
Migrations match too bluntly
ETL and data-loader merges key on an exact external ID or email. Formatting differences, abbreviations, and typos between the two orgs slip through, so duplicates survive the cutover.
Customer data can't go offsite
Most de-dupe tools want to export your newly combined book of record to match it — exactly the risk surface legal and security are trying to shrink after a merger.
Reconcile both orgs into one clean record set
Match across both orgs' data
Per-object scenarios combine exact, fuzzy, word-mapping, and address matching, with fields normalized before they are compared — so records from different orgs that only differ in formatting still group together.
Choose the master, keep the right values
Review each duplicate group side by side, pick the surviving record, and set field-level survivorship so the authoritative value from either org wins. Native Salesforce merge re-parents activities and related records to the survivor.
Clear the whole backlog in passes
Set master rules — oldest record, record owner, most related records — and mass-merge the cutover backlog in controlled passes, entirely inside the target org. No export, no third-party processor.
What a clean consolidation gives you
- One record per customer across the combined org
- Accurate pipeline, rollups, and reporting after the cutover
- Activity and related records preserved on the survivor
- No customer data exported during reconciliation
- Large migration backlogs cleared in controlled passes
Common questions
Does Data Cleanser migrate records between Salesforce orgs?
No — Data Cleanser works inside a single org. You bring the records into one target org with your migration tool or data loader; Data Cleanser then finds and merges the duplicates that consolidation created, natively in that org.
Why do duplicates survive a normal org migration?
Migrations usually match on an exact external ID or email. The same company or person often differs between orgs in spelling, formatting, or abbreviations, so exact-only matching misses them and they load as new duplicates.
How does it catch the near-duplicates the migration missed?
You build a matching scenario per object. Fields are normalized, then exact, fuzzy, and word-mapping rules group records that mean the same thing — and tiebreaker fields keep genuinely different records apart.
What happens to activities and related records when records from each org merge?
Merges use native Salesforce merge, so activities, opportunities, cases, and related lists re-parent to the surviving record automatically. Nothing is orphaned, and the change sits within your standard Salesforce history.
Does any data leave the org during reconciliation?
No. Data Cleanser is 100% native — no export, no middleware, no third-party data processor. Matching and merging run inside the target org and inherit your sharing and field-level security.
Which records can it consolidate?
Leads, Contacts, Accounts — including Person Accounts. Cross-object matching also spots a Lead that already exists as a Contact and supports convert-or-merge so the relationship stays together.
See it on your own data
Start a free limited trial in your own Salesforce org, or book a live demo with someone who builds the app.