The cold email data problem
Most cold email campaigns fail at the data layer, not the copy layer. When your list comes from a generic B2B database:
- Bounce rates climb because records include defunct businesses and non-SaaS companies.
- Reply rates suffer because prospects don't match your offer.
- Domain reputation degrades as sends go to unengaged recipients.
- Your team diagnoses copy problems when the real issue is list quality.
How SaaS-only data fixes this
With a SaaS-only database, every record is a verified SaaS company:
- Higher deliverability - fewer bounces, fewer spam complaints.
- 2-3× higher reply rates - the company profile matches your offer.
- Cleaner warmup - fewer wasted sends keeps sending domains healthy.
- Better feedback loops - when results are bad, it's the offer or copy, not the list.
The workflow
- Filter by your ICP - company size, category, geography, funding stage.
- Export as CSV or JSON.
- Import into your cold email tool (Apollo, Instantly, Smartlead, Lemlist, etc.).
- Run your sequence against a list that's 70-90% on-segment instead of 10-20%.
What you get per lead
- Product category - CRM, devtools, security, martech, etc.
- Employee count - filter by stage and team size.
- Funding and revenue signals - seed, Series A, bootstrapped, etc.
- Tech stack indicators - Stripe, HubSpot, Salesforce, etc.
Start testing
Create a free port587 account and pull a test list. Compare your reply rate against your generic data source.
Read more: What is a B2B SaaS leads database? · SaaS vs generic data