Salesforce data quality slips over time. Duplicates multiply, and fragmented account histories start to impact forecasting.
Complete Clean helps RevOps teams stay ahead. Detect and merge duplicates at scale across any object. Set it up once with point-and-click matching rules, then run scheduled cleanup jobs to keep Salesforce accurate, no code required.
Duplicates and stale fields pile up between cleanups
New data is constantly entering Salesforce through lead lists, integrations, and Flows. Without ongoing management, duplicates return, fields become unreliable, and confidence in the CRM drops quickly.
Point solutions fix one thing and leave the rest
Validation rules catch empty fields, native duplicate rules catch some matches, and custom Apex fills the gaps. But stitching point tools together turns every Salesforce release into another IT project, and nobody owns the full picture.
Off-platform dedupe tools create security concerns
CRM data quality management tools that work off-platform mean customer records leave the org every time a job runs. Field-level permissions, sharing rules, and audit trails only cover data that stays in Salesforce. Anything exported sits outside the security model.
Scan the full org with customizable matching rules to find the duplicate records native rules miss across leads, contacts, accounts, and custom objects. RevOps knows exactly where salesforce data quality is slipping before the next forecast, so cleanup effort goes where it matters most.
Flag duplicates as records enter the system and clean them up in bulk with mass merge jobs, using automated survivorship to select the right record every time. Complete Clean turns data hygiene from a quarterly fire drill into a steady, ongoing routine.
Every cleanup job includes a field-by-field merge preview, so teams can see exactly what will change before anything updates. Complete Clean handles both proactive duplicate prevention and bulk cleanup, while Complete AI extends data quality into enrichment, standardization, and validation.
With Complete Clean, the YMCA of San Diego County cut over 4,000 duplicate records down to fewer than 1,000, restoring trusted member and household data in Salesforce. By previewing every merge and using customizable tiebreakers like membership status and account balance, the team cut 90% of manual dedupe work and now keeps the CRM clean on a recurring two-week cadence.
The biggest improvement I’ve seen when using Traction Complete’s solutions is that it’s definitely taken a lot of processes down from what could potentially be days into a matter of minutes or hours.”
[Complete Clean] was great because we could see how our dedupe plans were going to play out before we hit merge.
Never in my career have I been able to tackle a duplicate situation like the one we had here so quickly.”
We used to spend 20 hours per week monitoring the data coming into [Salesforce] and 20 additional hours cleaning up. With Traction Complete, we’ve reduced that effort to two hours a week.”
Features
Scan leads, contacts, accounts, opportunities, and custom objects to surface every duplicate record, so RevOps can target the next cleanup.
Run bulk dedupe and mass merge jobs on a recurring cadence, with automated survivorship picking the right winner every time.
Mix fuzzy and exact matching across leads, contacts, and accounts to catch near-duplicates like name variations or typo’d emails while still locking down exact matches on record ID and email.
See field-by-field what a merge will change before you commit, so dedupe jobs never feel like a one-way door.
Roll back any dedupe merge with a single slick. RevOps teams can move quickly on mass cleanup exercises without worrying about one-way doors.
Give stakeholders peace of mind after every dedupe run with reports that show exactly what merged, what survived, and which tiebreakers applied.
FAQ
The native tool only merges three records at a time on standard objects, and only with the matching rules Salesforce ships. Complete Clean supports Salesforce data deduplication for all objects, including custom objects, with your own matching rules, automated survivorship, and a full merge preview before you commit.
Complete Clean scans your entire org with customizable matching rules to surface duplicates that never got flagged. Teams can quickly identify duplicates within any object, including standard and custom objects.
Yes. Merge large sets of duplicate records in a single pass, with automated survivorship rules determining the winning record and which field values to keep. No need to merge just three records at a time.
Yes. Complete Clean can identify duplicates created by any process, including a Salesforce Flow. Using customizable matching rules, it can surface duplicates as records enter the system or flag them later for bulk review and merge.
Other Salesforce deduping tools push records outside the Salesforce platform or cap merge batches at a few records. Complete Clean runs as a 100% native AppExchange package with no external integration, so dedupe jobs inherit your existing SSO, field-level permissions, and audit controls.
Every merge runs with a preview first, so you see a field-by-field comparison before any record is updated. Pair that with field-level survivorship rules to lock in the data you want to keep, and use the one-click undo merge to roll back any run that doesn’t land the way you expected. Post-merge reports capture the audit trail for every run so stakeholders can see exactly what changed.
Yes. Complete Clean supports both proactive and reactive duplicate management. It helps stop duplicates from being created and surfaces existing duplicates for bulk review and merge.