What happened when we used ZoraSignals on ourselves.
Before asking anyone to buy, we ran ZoraSignals on our own market. Here is the unvarnished breakdown of our initial campaign: 318 accounts investigated, 64 qualified leads, 19 replies, and 11 discovery meetings booked—including every false lead and bounce.
1. The setup
We sell signal-led outbound research. Our target market was founders, managing partners, and sales leaders at B2B software companies and specialized staffing agencies with 10 to 75 employees whose outbound reply rates had fallen below 2%.
Rather than buying a list of 5,000 email addresses and blasting generic sequences, we configured ZoraSignals with strict filters:
2. The numbers
Every account investigated, qualified, contacted, and converted over an initial 3-week campaign run.
| METRIC | TRADITIONAL COLD SCRAPING | ZORASIGNALS (SIGNAL-LED) |
|---|---|---|
| Sends required for 10+ meetings | 3,000 – 5,000 cold emails | 64 targeted SigQLs |
| Response rate | 1.2% (mostly opt-outs) | 29.7% (19 thoughtful replies) |
| Meeting conversion rate | 0.25% – 0.40% | 17.2% of contacts emailed |
| Sender reputation impact | High spam complaints & domain burnout | Zero spam flags • 96.9% deliverability |
3. What worked
Hiring surges beat funding announcements by 4x
Congratulating an executive on raising capital yielded polite "thanks, but we're set" replies. But emailing a VP of Sales within 10 days of them posting 3 new SDR/AE roles generated immediate engagement. The hiring surge proved that operational friction was happening right now, making pipeline solutions an urgent priority.
Context briefs replaced generic templates
Because each SigQL included a synthesized 2-sentence context brief detailing the trigger, our emails opened with concrete operational reality: "Saw your team posted 3 enterprise SDR roles following the Dallas office opening..." Buyers replied because they recognized that we had done real homework on their current situation.
65% of replies arrived on Email #1
14 of the 19 replies came within 4 hours of the initial send without needing persistent follow-ups. When relevance and timing match an acute need, prospects don't wait for a 7-step nurture cadence to respond.
4. What didn't work & what we changed
This section is why this page exists. Here are the misses, false leads, and the exact pipeline improvements we deployed as a result:
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2 Bounced Contacts (Replaced under guarantee): Two emails bounced due to an unannounced domain migration following an acquisition 48 hours prior. We replaced both leads immediately and instituted live SMTP pre-flight handshake checks 15 minutes before lead delivery.
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5 Stale Job Postings: Five companies passed our hiring trigger, but manual verification showed the job postings had been closed over the weekend while the public career portal lagged. We added automated DOM-level career page verification to verify openings are actively accepting applications at delivery time.
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4 In-Contract Responses: Four sales leaders responded warmly but noted they had just signed an annual agreement with an incumbent provider 3 weeks earlier. We updated our signal parser to scan for recent vendor onboarding signals in public case studies and job requirements to flag existing software vendor locks.
5. The sample size
Small sample. Treat it as a starting benchmark, not an ironclad promise.
This was an initial 64-lead run over 3 weeks. Exact response and meeting conversion rates vary by industry, pricing structure, and the sharpness of your value proposition. But the core lesson holds across every market: outbound works when you stop spraying companies who aren't ready, and start focusing exclusively on accounts with documented, dated reasons to buy.
6. Try it on your business
See how your market looks under signal-led research today. Start with 3 free SigQLs on our one-time trial, or speak with our team about custom volumes.