4d • General discussion 📣
Simple 7-step data audit before you send a single email
Most deliverability problems aren’t technical.
They’re data problems.
Before you touch copy, domains, or sequences - run this quick audit.
1) Check ICP alignment
Ask:
Are these actually your ideal customers?
- Right industry
- Right company size
- Right role
If your list isn’t aligned, nothing downstream works.
2) Remove obvious bad fits
Clean out the noise:
- Students
- Agencies (if not your target)
- Generic emails (info@, support@)
- Competitors
These don’t convert, and they hurt deliverability.
3) Verify emails
Run your list through a verifier (MillionVerifier or similar).
- Remove invalid emails
- Remove catch-alls if you’re early stage or sending from new inboxes.
4) Spot-check manually
Open 20–30 random records.
Check:
- Is the company real?
- Is the domain active?
- Is the title accurate?
If you see multiple issues here, the whole list is suspect.
5) Segment properly
Don’t blast one message to everyone.
Segment by:
- Sub-niche
- Company size
- Use case
Better segmentation = stronger relevance = better replies.
6) Check domain patterns
Scan your list:
If you see lots of:
- weird domains
- parked websites
- broken sites
…it’s a sign your data source is low quality.
7) Run a personalization test
Take 10 leads.
Write your first line.
Ask: Does this genuinely fit each one of them?
If not → your targeting is too broad.
The reality
Clean list =
✔ lower bounce rate
✔ better deliverability
✔ higher reply rates
✔ longer-lasting inboxes
Bad data silently kills good campaigns.
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Simple 7-step data audit before you send a single email
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