Clean, trustworthy data — without leaving Salesforce
Data Cleanser finds, reviews, and merges duplicate records entirely on the Salesforce platform. Nothing extra to install, nothing to sync — your data never leaves Salesforce.
100% Salesforce-native. Complies with Salesforce certifications and security standards.
- Public Salesforce AppExchange listing and sandbox trial flow. View listing
- Security-focused resources explain the native Salesforce data boundary. Read security brief
- Implementation support includes setup, matching scenarios, merge review, and admin documentation. Open docs
Duplicate data quietly taxes every team
Every duplicate record splits one customer into two half-truths. The cost shows up everywhere: in the numbers leadership reads, the calls your reps make, and the campaigns marketing runs — and it leaves your CRM too noisy for Agentforce and Einstein to trust.
Pipeline, forecasts, and dashboards double-count the same companies and people.
Two reps call the same lead twice — and neither knows the other already did.
Marketing sends the same contact duplicate emails, inflating costs and unsubscribes.
Once teams stop believing the CRM, they stop updating it — and the problem compounds.
What clean, AI-ready data gives back
One record per customer means reports and forecasts reflect what is actually in your pipeline.
Dashboards stop double-counting, so leadership decisions rest on real numbers.
Reps stop chasing leads a colleague already worked and spend the time selling instead.
Every conversation starts from one complete view of the customer — not a fragment.
Marketing reaches each contact once, keeping initiatives sharp and unsubscribe rates down.
Two duplicates in. One clean record out — you choose what survives.
Where native duplicate management runs out, Data Cleanser keeps going
Salesforce’s built-in Duplicate Management flags obvious matches as records are created — and that’s where it stops. It was never built to clean up the duplicates already piled up in your org, or to merge them in bulk. These are the three walls teams hit, and what Data Cleanser does instead.
Get past the 5-rule-per-object limit
Salesforce lets you activate only five duplicate rules on each object. Orgs juggling multiple regions, currencies, or record types burn through that budget fast and start dropping the matching scenarios they actually need. Data Cleanser runs as many scenarios as you want, on any standard or custom object — no five-rule ceiling and no edition upgrade.
Merge the whole group, not 3 records at a time
Salesforce’s merge tool combines only three records at once. One messy import can leave six copies of the same contact, so cleaning it up means round after round of manual merges. Data Cleanser merges an entire duplicate group in a single step — and runs across thousands of those groups in one job.
Clean the duplicates native rules already let through
Salesforce Duplicate Management only watches records as they are created or edited — it does nothing about the copies already sitting in your org. Data Cleanser scans that backlog on a schedule, groups every match it finds, and clears thousands of existing duplicates in one pass. Prevention at the door, plus cleanup for everything that got in.
See Data Cleanser clean up duplicates
A self-playing walkthrough of the real app — define a scenario, run a scan, then review and merge duplicates safely. Play it, step through it, or jump straight in.
Find duplicates with rules you control
Define exactly what counts as a duplicate — per object, with exact and fuzzy matching — then review and merge with confidence.
Duplicate matching
- Rule-based matching scenarios Define exactly what counts as a duplicate, per object, in reusable rules tuned to your org. Included
- Exact matching Match on precise field equality when you need zero false positives. Included
- Fuzzy matching Catch near-duplicates with typos, abbreviations, and formatting differences. Included
- Field normalization Normalize email, phone, and company before comparing, so matching reads past the noise. Included
- Cross-object matching Spot when a Lead already exists as a Contact or Account. Included
- Secondary tiebreaker fields Add fallback fields — like billing city — to separate close calls. Included
- Reusable saved scenarios Save, activate, and re-run matching rules across the whole org. Included
Standardize, verify, and enrich your records
Normalize fields, validate contact details against live sources, and fill the gaps — so teams act on data they can trust.
Roll back merges with confidence
Not every merge is perfect — Rollback recreates merged-away records from field snapshots, moves related records and files back, and reverts master field values to their pre-merge state.
Full merge rollback
Recreate loser records from field snapshots, reparent related lists, restore file links, and revert master fields to their pre-merge state.
Preview before you act
See exactly which records split apart, which fields revert, and which related rows move back — with warnings when files or related records were permanently deleted.
Single or bulk rollback
Roll back one merge from the preview, or select many from the Rollback queue and roll them back in one pass.
Snapshot retention window
Rollback works while merge field snapshots remain within retention — default 90 days, up to 150 days. Salesforce Recycle Bin is not used.
Rollback restores
- Merged records Loser records recreated from field snapshots captured at merge time, each with a new Salesforce ID. Optional
- Master field values Survivor fields revert to the values captured at merge time. Optional
- Related records Tasks, events, opportunities, and other reparented children move back to their original owners. Optional
- File links Salesforce Files links return when the underlying files still exist. Optional
- Mass merge batches Each group from a mass merge is its own rollback event — roll back one or many. Optional
- Retry after partial rollback Fix underlying record issues, then retry to finish reparenting anything that failed the first time. Optional
Measure CRM health across four dimensions
Score completeness, validity, uniqueness, and freshness per object — with org-wide dashboards, 30-day trends, and record-level breakdowns.
Four dimensions
Score Completeness, Validity, Uniqueness, and Freshness — weighted per object so you control what matters.
Trend history
Daily snapshots build a 30-day trend so you can prove data quality is improving.
Configurable checks
Start from bundled use-case defaults or switch to Advanced to add email, phone, regex, and uniqueness rules.
Record-level card
A score gauge and failed-check list on Account, Contact, and Lead record pages.
Data quality
- Data Quality Score dashboard Org-wide and per-object health scores with distribution bands and a 30-day trend. Included
- Four scoring dimensions Completeness, Validity, Uniqueness, and Freshness — weighted per object. Included
- Configurable checks Populated, email, phone, picklist, regex, number range, freshness, and uniqueness rules. Included
- Record-level score card Per-record gauge and failed-check list on Account, Contact, and Lead pages. Included
One license for the core product.
Matching, merging, verification, and enrichment come in a single license — no nickel-and-dime feature packs. See the full checklist and the flat price on the pricing page.
Schedule a demo to learn more
We will walk through your duplicate challenges and show you how Data Cleanser handles them — live, in Salesforce.
- See the Salesforce UI for scenario setup, duplicate review, merge controls, and rollback expectations.
- Review the security brief before involving IT/security stakeholders. Security brief
- Admin docs are available for setup and day-to-day operation. Docs