Jay Feldman | Lead Gen Jay @leadgenjay

This isn't just about cold email. It's about offer-audience fit: 1. If outreach gets silence, test the offer and audience before adding volume. 2. Stay open to changing direction. In his case, the bottleneck moved from finding interest to having time to serve it. These are his results, not a guarantee. Anyone else learned this the hard way? Full interview: youtu.be/cqJpUCAvBxY

The moment it clicked: He said one of the main things he needed help with was "honing down" his offer. Our team recommended AI content for coaches, authors and speakers, a market we saw as receptive. It meant a total switch in direction. Reported results: Day 1: 8 interested leads Day 2: 13 Reply rate: 6.42%

"I'm this close to telling you guys to stop." A client said that. Not because it failed, but because 125 interested leads came in during his first month. Before that: two cold email campaigns and one half-interested reply. The story below:

My results (my experience, yours will vary): Close rate almost tripled Closers 2x+ more efficient No extra closer hires needed Humans still run the calls and approve payouts. Scoring rules need tuning to your business. Which step would help yours most? Full walkthrough: youtu.be/geLjXJQhIf0 Follow @LeadGenJay for more AI automation systems

My solution: 1. Custom survey scores each lead /100, then routes the best ones to top closers 2. Perplexity builds a pre-call brief for the closer 3. Fathom transcripts get graded on 8 skills. Managers review outliers and correct the AI 4. Close-likelihood scores show who to follow up with today 5. Proposals are drafted from the call, and the closer reviews them Shared backend: Supabase. Start with scorecards.

My team's close rate almost tripled after I connected AI to our entire sales process. (My numbers, not a guarantee.) I didn't build it to replace closers. I built it to make them better. My exact process below:

The results (Nov 2025 to Mar 2026): 74 tracked opportunities $370K attributed opportunity value 78 positive responses from real decision-makers, 52 with direct authority It's now a repeatable playbook that runs 24/7. Volume didn't fix it. Focus did. [YouTube link]

Our process: 1. Tested 5 verticals with neutral senders like "School Safety Advisory" 2. Hospitals bounced, 3 others underperformed. Schools won 3. Heads of School and Facilities Directors converted best 4. Led with a live security demo near them 5. Went all schools: shorter copy, 4 spintax variants, nationwide list

How we got 78 positive responses from real decision-makers (and $370K in tracked opportunity value) for Safe Haven Defense with cold email. We got there by cutting 4 out of 5 verticals, not by sending more. Details below:

Results (Nov 2025 to Mar 2026): 91,194 emails sent 454 unique replies 74 tracked opportunities $370K in opportunity value After human review of every reply: 78 positive responses, 52 from people with direct decision-making authority. Two school campaigns drove almost all of it, and the playbook is still working today. More volume was not the answer. The right audience and one clear offer was. [YouTube link]

Our process: 1. Tested schools, hospitals, convenience stores, pharmacies and luxury retail using neutral senders like "School Safety Advisory" 2. Read the data: hospitals bounced, other verticals had low volume, schools stood out 3. Found Heads of School and Directors of Facilities converted best 4. Led with a "live security demo near your city" 5. Went 100% schools with 4 spintax variations and a second campaign

How we got 78 positive responses from real decision-makers for Safe Haven Defense with cold email. $370K in tracked opportunity value along the way. The key: we stopped spreading volume across every market. Details below:

The results: 274 replies 54 opportunities Qualified interest up from 0.302% to 0.598% (1.98x lift) Best rebuilt campaign now at 0.733% interested The recognition angle placed 2nd on replies but last on interest: 1 interested reply from 2,446 sends. Spark now has a repeatable way to reach dentists who have never heard of them, with a known conversion rate. It is running right now. Stop optimizing for replies. Optimize for the replies you actually want. [YouTube link]

Our process: 1. Built the infrastructure first: 50 mailboxes across 17 domains, 39,834 emails to 15,114 leads over 7 weeks, bounce rate held at 2.49% 2. Tested 4 opening angles: compliance, licence requirement, recognition, state requirement 3. Manually audited every reply. More than half were out-of-office auto-responders 4. Scored each angle on qualified interest instead of reply rate 5. Cut two angles, kept compliance and licence requirement, and left the follow-up sequence untouched

How we got 54 qualified opportunities for Spark Study Club with cold email. The winning move was ignoring our reply rate. Details below: