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Outreach Data Hygiene: Keep the System Trustworthy

Clean data makes reporting accurate and decisions reliable. This guide covers naming conventions, tagging rules, required fields, closing stale items, and a weekly audit with a hygiene score checklist.

Why Hygiene Matters

Dirty data leads to wrong conclusions. "We have 200 active leads" means nothing if 100 are stale. Clean data improves reporting and ROI decisions.

Naming Conventions

Record Naming

Contact / Company

Use consistent format: "Company Name" or "Contact Name - Company". Pick one and stick to it.

No Duplicates of Same Name

"Acme", "Acme Corp", "Acme Inc" = pick one standard (e.g. "Acme Corp") and use it everywhere.

No Placeholders

Replace "TBD", "Unknown", "Test" with real data or close the record.

Tagging Rules

Tag Standards

Source / Platform

One tag per record: Upwork, LinkedIn, Email, Referral, etc. No mixing.

Campaign (Optional)

If you run campaigns: "Q1 Cold Email", "Conference 2026", etc.

No Orphan Tags

Don't create one-off tags. Use a fixed list and add new tags only when they'll be reused.

Required Fields

Every active record must have these filled:

Source / Platform
Link / URL
Contact / Company
Value Estimate
Stage
Next Follow-up Date
Owner

Rule: If a required field is empty, the record is incomplete. Fix or close it.

Closing Stale Items

Define "stale" and close consistently:

Stale Rules

1.

No activity in 14+ days

No follow-up sent, no reply, no note. Stale.

2.

3+ follow-ups with no response

Close as "No Response" per your SOP.

3.

Wrong or outdated info

Bad link, wrong company, duplicate. Merge or close.

4.

Not a fit (you decided to pass)

Close as "Not a Fit" with reason.

Weekly Audit

Every week, run a quick audit:

Weekly Hygiene Audit (15–20 min)

Hygiene Score Checklist

Score your pipeline (pass/fail or count):

Hygiene Score

All active records have required fieldsPass / Fail
No stale records (14+ days) left "active"Pass / Fail
No duplicate records for same leadPass / Fail
Naming is consistent (no TBD, Test, mixed formats)Pass / Fail
All outcomes have a reason (lost, not fit, no response)Pass / Fail

Target: 5/5 pass. If not, fix before relying on reports.

How Clean Data Improves Reporting

Accurate pipeline count

Active = really active. No inflated numbers from stale or duplicate records.

Reliable win/loss rates

Outcomes with reasons let you see why you win or lose.

ROI by source

Consistent tagging lets you compare which channels actually convert.

Related Guides

Keep Your Data Trustworthy

Clean data, better decisions

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