Background
The Setup
Hareem built a signal-based cold outreach system targeting small UK service businesses — roofing companies, garage door installers, pest control. His approach: only contact businesses with a recent, public complaint about the exact problem he was pitching.
Out of thousands scanned, only ~5% made the cut. Then he filtered again by recency — only complaints from the last month. The final list: 85 high-intent leads.
For email finding and verification, he ran a waterfall with filtrat as one of two providers.
Results
The Real Found Rate
The headline number was 58% — but that blends two different things.
Breaking down the 85 leads
0/49
Personal emails found
0
Personal emails missed
Every single personal email that existed was found.
Accuracy
Found Rate by Email Type
What also worked
- Pattern discovery and verification in a single API call
- No charge for failed searches
- Catch-all detection caught a wrongly-deliverable address
The gap
The 15 “misses” were all generic company inboxes — info@, enquiries@, contact@. Not a single first.last@ or first@ was missed by the finder.
Transparency
The Honest Gaps
The finder’s 58% rate includes a manual fallback process Hareem built. The finder alone found fewer — primarily because it doesn’t try role-based addresses (info@, enquiries@, contact@) as a last resort.
For SMB outreach where generic inboxes are often the only working email, this is a real gap.
What we’re working on based on this feedback:
Summary
Key Numbers
| Leads tested | 85 |
| Found rate (with fallback) | 58% |
| Cost for failed searches | $0 |
| Catch-all correctly identified | Yes |
| Role-based emails missed | 15 |
| Personal emails missed | 0 |
| Time to ship fixes | Same week |
Bottom Line
Takeaway
Filtrat’s finder works well for companies with standard email patterns. For SMB outreach targeting small businesses with generic inboxes, the found rate was lower than expected — but every miss was a role-based address, not a personal email. The fix is shipping now.
“Failed searches cost you nothing” means the economic risk of a lower found rate is absorbed by filtrat, not the user.

