Jay Feldman | Lead Gen Jay

Generated $15M Getting To #33 Inc 5000 With Cold Email. Helping Business Owners Add $50k/Mo Using AI-Lead Generation Machines 👇🏻 Join 25K+ in My Skool

[Jay Feldman | Lead Gen Jay @leadgenjay]

Results after applying this system:
✅ Consistent doctor clients month over month
✅ Higher reply rates with mechanism-led emails
✅ Built referral proof from scratch using the 3-tier name-drop method

This system runs 24/7 and compounds with every new case study.

Which step would help your agency most?

Follow @LeadGenJay for more B2B client acquisition systems.

▶️ Full Medical Marketing Playbook: https://t.co/pLkDWZyjF2

[Jay Feldman | Lead Gen Jay @leadgenjay]

I landed doctor clients consistently for 6 years using one simple framework.

Most agencies think this niche is too saturated.

It's not. It's just noisy.

My exact process below: 🧵

[Jay Feldman | Lead Gen Jay @leadgenjay]

My solution:

1️⃣ Source verified doctor emails via BookYourData — filter by specialty + owner (<50 employees). Skip Apollo.

2️⃣ Segment by specialty (target: plastic surgery, med spas, cosmetic dentistry, concierge medicine — avoid radiology/anesthesia).

3️⃣ Use the 4-sentence cold email:
→ Personalized opener
→ Mechanism-led pain question
→ Referral name-drop
→ Soft CTA only

4️⃣ Send via Instantly AI + warmed domains from InboxInsiders for deliverability.

No case studies yet? Offer a free front-end service first. Deliver in 24hrs. Then pitch a discounted case study deal for a testimonial.

[Jay Feldman | Lead Gen Jay @leadgenjay]

Results after full team rollout:
✅ Entire 82-person team has AI access in Slack
✅ Marketing auto-monitors Meta Ads vs Hyros discrepancies
✅ Sales gets bi-weekly automated reports — zero manual work
✅ Total cost: ~$100/month vs thousands in individual subscriptions

This system runs 24/7 and keeps surfacing new automation use cases on its own.

Which step would help your business most?

Follow @LeadGenJay for more AI automation systems 🚀

▶️ Full breakdown: https://t.co/E0cSUTpurb
Free credits: https://t.co/iQ37szfck8

[Jay Feldman | Lead Gen Jay @leadgenjay]

I replaced Claude Code for my 82-person team using a $100/month Slack AI agent.

Setup took less than 5 minutes from my phone.

My exact process below 👇🧵

[Jay Feldman | Lead Gen Jay @leadgenjay]

My solution with Viktor:

1️⃣ Connected Viktor to Slack in under 5 mins — no dev work needed
2️⃣ One-click integrations: Google Ads, Stripe, Hyros, Notion & 15+ more
3️⃣ Switched default model from 'Smartest' → 'Balanced' mode (50% fewer credits, same quality)
4️⃣ Lowered heartbeat & workflow discovery frequency to kill background credit burn
5️⃣ Set role-based permissions per integration to protect sensitive data

⚠️ Gotcha: I burned $600 my first week by skipping steps 3 & 4. Don't be me.

[Jay Feldman | Lead Gen Jay @leadgenjay]

Results after 30 days:
✅ Reply rates: 2% → 5% (Reverse Lead Magnets as CTA)
✅ Entire campaign pipeline runs 24/7 autonomously
✅ Replaced Clay, Apollo & n8n — saving $000s/month

This system runs while you sleep.

Which step would help your business most?

Follow @LeadGenJay for more AI automation systems.

🎥 Full breakdown: https://t.co/Gkz5p4qqwU

[Jay Feldman | Lead Gen Jay @leadgenjay]

I rebuilt my entire cold email system inside Claude Code.

No Apollo. No Clay. No n8n.

One AI chat window now handles scraping, verifying, writing, and deploying full campaigns.

Reply rates jumped from 2% → 5%.

My exact process below: 🧵

[Jay Feldman | Lead Gen Jay @leadgenjay]

My solution inside Claude Code:

1️⃣ Scrape + verify leads via Consulti AI API (deduped automatically)
2️⃣ Run List Optimize skill — qualifies, researches & personalizes leads using Perplexity API
3️⃣ Auto-Improve loop rewrites copy until it hits your quality bar
4️⃣ Deploy campaigns to Instantly or Email Bison via API — zero manual logins

Screenshot attached 👇

[Jay Feldman | Lead Gen Jay @leadgenjay]

Results from 38,647 emails sent

13,279 senior finance leaders reached
12,689 contacts completed the full sequence
57 qualified opportunities generated
25% of all positive replies converted into qualified pipeline

The product never changed. The offer never changed.

Fixing the list and focusing the message changed everything.

The message only lands when the list is right.

[Jay Feldman | Lead Gen Jay @leadgenjay]

How we got 57 qualified opportunities for Source1 Parcel with cold email

thread:

[Jay Feldman | Lead Gen Jay @leadgenjay]

So we rebuilt everything from scratch

1. Audited the full lead list and cut every contact outside the real ICP
2. Rebuilt targeting in Apollo and Clay around U.S. manufacturers and e-commerce companies at $20M to $500M revenue, CFO, Controller, and VP of Finance titles only
3. Killed the two angles that produced almost no replies across 40,000+ emails and committed 100% of sending to the one framing that worked: direct rate negotiation
4. Anchored the sequence on a real savings reference ($325,000 saved on $1.6M in parcel spend) with a free contract analysis as the next step
5. Deployed warmed sender infrastructure across multiple domains to protect inbox placement throughout the run

[Jay Feldman | Lead Gen Jay @leadgenjay]

Results from the single relaunch campaign:

38,647 total emails sent
13,279 senior finance leaders reached
12,689 contacts completed the full sequence
57 qualified opportunities generated
25% of all replies converted into a qualified opportunity

Same product. Same offer. Just a list that finally matched the buyer.

The system runs continuously. The pipeline keeps filling.

Cold email copy does not fix a broken list. But the right list with one proven message can change everything.

[Jay Feldman | Lead Gen Jay @leadgenjay]

How we got 57 qualified opportunities for Source1 Parcel with cold email

The offer was not the problem. The list was.

Details below:

[Jay Feldman | Lead Gen Jay @leadgenjay]

Here is what we rebuilt:

1. Audited the full contact list and removed every shipping-adjacent company that would never buy
2. Rebuilt targeting in Apollo and Clay around U.S. manufacturers and e-commerce companies doing $20M to $500M in revenue with hard exclusions locked in from day one
3. Targeted only CFOs, Controllers, and VPs of Finance, the people who actually feel the pain of overpaying on carrier contracts
4. Killed two underperforming messaging angles and went all in on one direct rate-negotiation framing that had already proven it converted
5. Anchored the sequence on a specific proof point ($325,000 saved on $1.6M in parcel spend) and offered a free analysis as the next step