CRM data / AUTOMATION 05Always-Clean CRM
Detect duplicates, missing data and stale records automatically.
The automationWhat it does
- Scans contacts, companies and opportunities for duplicate records.
- Standardises company names, domains, countries and phone numbers.
- Validates email addresses and flags risky or unusable contact data.
- Enriches required fields that are missing from otherwise useful records.
- Identifies incorrect ownership and unassigned sales records.
- Flags stale contacts, accounts and deals using agreed inactivity rules.
- Routes risky merges and field changes through a human approval queue.
- Produces a recurring CRM data-quality score and exception report.
WorkflowOrdered steps
- Scan
- Normalise
- Dedupe
- Enrich
- Approve
- Report
EconomicsCost and timing
- Setup
- ₹50K–₹1L
- Running cost
- ₹2K–₹15K/month
- Implementation
- 5–10 days
- Complexity
- Medium
- Primary metric
- Data completeness
QualificationBest fit
Companies with 5,000+ CRM records or recurring data issues.
Check first
Requires agreement on merge and ownership rules.
ToolsSupported stack
HubSpotZohoSalesforceFreshsalesPipedriveClayApolloHunter
FAQsCommon questions
Does it merge CRM records automatically?
Risky merges can be routed through a human approval queue so data owners stay in control.
What should be agreed first?
You should define merge rules, required fields and record ownership rules before publishing changes.
NEXT STEP
Check whether this flow is worth building first.
We confirm volume, tools, edge cases and monthly running cost before recommending the build.
Request a fit check ↗