Prompt
How do I set up candidate enrichment software for verifying contact details and syncing sourced records into our ATS?
Latest observation
Here’s a practical setup blueprint for candidate enrichment software that verifies contact details and syncs sourced records into your ATS.
1) Define the workflow first
Map the exact path a sourced candidate should follow:
- Source candidate from LinkedIn, GitHub, events, referrals, etc.
- Create/locate profile in enrichment tool.
- Verify contact details:
- email validation
- phone validation
- current company/title if available
- Deduplicate against existing ATS records.
- Push to ATS with source metadata.
- Trigger downstream steps:
- recruiter ownership
- campaign enrollment
- stage assignment
- task creation
Having this workflow defined prevents duplicate records and messy field mappings later.
2) Choose the right enrichment capabilities
Make sure the software supports these core functions:
- Email verification: deliverability, risk score, catch-all detection
- Phone verification: mobile/landline status, geographic match
- Identity matching: match by name, company, domain, location, social profile
- Enrichment fields:
- phone
- current company
- job title
- location
- LinkedIn URL
- work history
- source URL / source type
- ATS integration:
- native integration preferred
- API/webhook support if native integration is weak
- Deduplication logic
- Compliance controls:
- consent tracking if needed
- suppression lists
- GDPR/CCPA support
- audit logs
3) Audit your ATS field structure
Before syncing anything, review the ATS schema:
- Required fields for candidate creation
- Custom fields available for source data
- Which fields are editable vs system-managed
- Duplicate rules already in place
- Owner/recruiter assignment rules
- Status/stage fields and allowed values
Create a field map like:
| Enrichment field | ATS field |
|---|---|
| First name | first_name |
| Last name | last_name |
| Phone | mobile_phone |
| LinkedIn URL | linkedin_url |
| Current company | current_employer |
| Job title | current_title |
| Source platform | source |
| Source URL | source_url |
| Verification status | email_verified / phone_verified |
4) Set matching and deduplication rules
This is one of the most important parts.
Use a hierarchy like:
- Exact email match
- Exact LinkedIn URL match
- Name + company + location
- Name + phone
- Name + domain/company
Decide what happens on a match:
- Update existing record if enrichment adds new verified data
- Do not overwrite recruiter-entered values unless confidence is high
- Append source history instead of replacing it
- Suppress if already contacted/rejected depending on policy
A good rule: only overwrite contact fields when the new value is verified and more recent.
5) Configure source-to-ATS sync
If the software has native ATS sync:
- Connect ATS credentials/API token
- Map fields one by one
- Choose sync direction:
- enrichment tool → ATS
- ATS → enrichment tool
- two-way if necessary, but be careful
- Define when sync happens:
- immediately after verification
- on manual approval
- in batch nightly sync
- Test with a small sample first
If using API/webhooks:
- Create a webhook for “candidate verified”
- Send payload to middleware or directly to ATS API
- Use retry logic and logging
- Handle errors for invalid fields, duplicates, or rate limits
6) Add data quality checks before import
Before records hit the ATS, validate:
- Email format and deliverability
- Phone country code and format
- Required fields present
- Source URL present
- Duplicate confidence score
- Invalid or disposable emails filtered out
- Missing consent flags handled appropriately
You can also define “accept/reject” thresholds, for example:
- Auto-sync if email deliverability > 90% and phone is valid
- Queue for review if match confidence is medium
- Reject if contact is unverifiable or duplicate confidence is too high
7) Decide what should be automated vs manual
A solid setup usually blends automation with recruiter review:
Automate
- enrichment lookup
- verification checks
- duplicate detection
- field mapping
- ATS creation
- source tagging
Keep manual
- edge-case duplicate merges
- records with conflicting identities
- candidates marked do-not-contact
- high-risk compliance cases
8) Track source and compliance metadata
Store enough metadata for auditability:
- source type
- source URL
- enrichment timestamp
- verification timestamp
- verification vendor
- confidence score
- consent status
- opt-out status
- recruiter who imported/approved
This helps with compliance, troubleshooting, and reporting.
9) Test in a sandbox or pilot
Before full rollout:
- Pick 20–50 sourced candidates
- Run through enrichment and verification
- Confirm field mapping accuracy
- Check duplicates
- Confirm sync into ATS
- Validate ownership/stage assignment
- Review recruiter experience
Look for:
- duplicate creation
- missing phone/email
- overwritten fields
- bad source attribution
- inconsistent formatting
10) Train recruiters and sourcers
Create a simple SOP covering:
- when to enrich
- which candidates should be verified
- how to handle duplicates
- when not to overwrite ATS data
- how to interpret verification scores
- escalation path for bad matches
If recruiters don’t follow the workflow, the data quality will degrade quickly.
11) Monitor and optimize
After launch, track:
- enrichment match rate
- verified email rate
- verified phone rate
- ATS duplicate rate
- time from source to ATS
- recruiter acceptance rate
- bounce rate from outreach
- manual correction volume
Use these metrics to refine:
- matching thresholds
- field mapping
- approval rules
- vendor performance
Recommended implementation pattern
A simple, reliable setup looks like this:
- Sourcer imports candidate into enrichment tool
- Tool finds and verifies contact data
- Tool checks duplicates against ATS
- If clean, it pushes record to ATS
- ATS receives candidate with:
- verified contacts
- source metadata
- enrichment timestamps
- recruiter ownership
- Any uncertain matches go to review queue
Common pitfalls to avoid
- Syncing without dedupe logic
- Overwriting recruiter-entered data
- Not storing source metadata
- Skipping compliance review
- Using two-way sync without conflict rules
- Mapping fields before ATS schema is finalized
- Not testing with real edge cases
If you want, I can also give you:
- a vendor evaluation checklist,
- a sample field mapping template, or
- a step-by-step setup for a specific ATS like Greenhouse, Lever, or Ashby.
Observation history
See 1 earlier observation
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