RevGen Labs

RevGen Labs merges elite lead gen services with groundbreaking tech innovation. Our founding trio, comprising a sales wizard, a renowned growth hacker, and a tech virtuoso, synergize their expertise to deliver more than just services - we're creating a suite of proprietary tools that are set to revolutionize sales and marketing. We're more than a company; we're a powerhouse lab crafting the future of sales and marketing.

Chief Executive Officer

RevReply

RevReply.com - An AI auto-responder that saves you hours a day and increases your meeting bookings by 900% on average.

Chief Strategy Officer

AUDIENCEX

For marketers, brands, and agencies - with complex goals needing intelligent, integrated solutions, we are your multi-channel media arm—piloting your digital campaign from pixels to projections. We offer clearly defined KPIs and customized reporting as well as a dedicated account manager always monitoring and optimizing your campaigns.

Following an analysis of your current strategy, we construct a multi-channel framework for your campaign. We analyze your positioning and messaging and acquire a rigorous understanding of your various audiences—allowing us to make decisions around tactical execution from channel mix to budgetary allocation with the goal of accelerating business growth.

Head of Sales Enablement

engage:BDR

Engage:BDR prides itself on offering advertisers streamlined and comprehensive solutions via programmatic media buys across display, video, native and ConnectedTV. 

With 12 years in business and as a publicly traded company, we'll go above and beyond to build a custom-tailored strategy to improve your results, and simplify your strategy.

Senior Director of Strategic Partnerships 

MNTN (formerly SteelHouse)

SteelHouse provides a best-in-class full-funnel display advertising and ConnectedTV platform.

High-value platform sales - primarily focused on building large brand and agency relationships to solidify programmatic advertising and ConnectedTV campaigns. 

Specialties include: Programmatic advertising, retargeting, acquisition, platform sales, SaaS, full-funnel marketing solutions, brand/agency relationships, ConnectedTV.

Senior Strategic Partnerships

CenturyLink Business for Enterprise

Managed a portfolio of customers whose monthly revenue generates 1.5 million.
Prospecting and hunting to find new clientele while continuously exceeding quota.

Senior Relationship Manager

Park West Gallery

Created week-long VIP experiences - Every week was a new ship, new clientele, new cities.
Ran art auctions and seminars.
Introduced world renown artists.
Auctioned art ranging over 500k.
High-level in-person sales.
Constant adaptation.
1.2 million per cruise avg - 240% over quota.

VIP Division Team Lead on Cruise Ships and Abroad

Conducted art auctions, seminars and VIP events for guests on cruise ships.
Sales training and management of up to 15 person teams.
Successful marketing - measured weekly.
Averaged 180k in sales per week.

Principal Art Auctioneer on Cruise Ships and Abroad

International Art Consultant

Research, evaluate, locate, and sell exclusive high-end art.
Artworks ranged upwards of 500k.

Private Consultant

CEO / Co-Founder @ RevGen Labs | AI + Sales + Growth Hacking

I'm Christian, Co-Founder at RevGen Labs, a B2B lead generation agency. 

We're solving a critical problem in B2B sales: how to scale cold email outreach with purpose (not spam).

Here's the reality most revenue teams face: 

You know cold email works, but scaling it properly is nearly impossible. 

You're stuck between sending mass blasts that destroy your reputation or spending hours crafting individual emails that don't scale.

The result? Either your outreach feels robotic and gets ignored, or your team burns out trying to personalize everything manually. 

At RevGen Labs, we're building proprietary AI tools that solve the "scale vs. purpose" dilemma. Our technology helps B2B teams send cold emails that feel personal and relevant at any volume - without the spam tactics that ruin deliverability and brand reputation.

We can help you if:

• You're sending cold emails but struggling to make them feel personal at scale

• Your team is burning out trying to research and customize every single outreach

• You want higher response rates without resorting to spammy tactics

• You need to increase email volume while maintaining (or improving) quality and relevance

We've helped 50+ revenue teams transform their cold email approach from "spray and pray" to strategic, purposeful outreach that actually converts. 

If you're ready to scale your cold email efforts the right way - with purpose, not spam - let's connect.

Send me a DM or reach out directly at christian[at]revgenlabs.com

Want to see how we're revolutionizing cold email? 

Check out revgenlabs.com

Christian Oland

I added 100 GTM operators to my private WhatsApp group in 3 weeks.
 
Still have room for 100 more.
 
Comment "Expand" if you want in.
 
The quality of conversations has been UNREAL.
 
-Real-time ideas, strategies, roasting :)
-Tool recommendations that save thousands per month
-Job opportunities shared before they hit LinkedIn
-LTD deals just for the group members
 
What we share:
 
>Direct intros when someone needs what you sell
>Beta access to tools before they blow up
>Weekly sessions with top experts in the B2B space
 
The vetting is still strict. 

I got 200+ comments on last post yet i added only 100.
 
If you're asking about "best subject lines" — this isn't for you.
If you're selling courses or want to pitch your services — don't bother.
 
But if you're an operator generating real pipeline from cold outbound...
 
Drop "EXPAND" below.
 
I personally review every request.
 
(100 spots left, then we're closing it again)

Founder of RevGen Labs | Helping businesses unlock 10x growth through growth hacking and AI

8 million people use the same sales triggers you do (and your prospects' inboxes look like a scene from The Big Bang Theory)

- You craft what feels like the PERFECT cold email...
- Mention their recent funding round 
- Mention about the new hire
- Hit send with confidence

and get absolutely nothing back

Here's why.
 
7 other people probably sent the exact same trigger-based message that morning.
 
And no one will get a response because it looks like every salesperson bought the same data package.

BUT here's what everyone misses about triggers...
 
It's not about having THE trigger. 
It's about having triggers NOBODY ELSE has.
 
While everyone's fighting over the same Apollo data points, we built what I call the "Master Trigger" system.
 
70+ unique trigger sources feeding into one engine.
 
We're not talking about the usual suspects: 

→ Funding rounds, 
→ Job changes, 
→ Tech stack updates.

That stuff's been picked clean.
 
I'm talking about triggers like...

→ Sudden spikes in organic traffic but drops in paid ad spend
→ Political campaign donations that signal budget shifts
→ Patent filings that hint at product pivots
→ Leadership speaking at conferences

(means they're thinking about specific problems RIGHT NOW)
 
Let's say you help SaaS companies with conversion optimization...
 
Instead of: "Hey, saw you raised Series B..."
 
Try: "Noticed your demo page traffic jumped 40% last month, but your trial conversion rate dropped. Most companies hit this exact wall after scaling paid acquisition..."
 
One sounds like everyone else. 

The other sounds like someone who actually KNOWS their business.
 
Want the list of 70+ unique trigger?
 
Drop "TRIGGERS" in the comments below and I'll send it over.
 
(Make sure we're connected first)

P.S. I'll add you to my free lead gen community (if you are an agency owner)

Most cold emails fail because of one stupid mistake.
 
And it's an AI mistake.
 
Most people think AI email is a copywriting problem.
 
"Help me write better subject lines."
"Make this sound more human."
"Personalize this template."
"Research this person."
 
Wrong.
 
AI email is a DATA problem disguised as a copy problem.
 
See, I've been running AI campaigns for years now and we pull 15+ data points per prospect... company growth signals, hiring patterns, tech stack changes, funding rounds, competitor moves.
 
All of that so the AI can write INSANELY good emails when it has real intel to work with.
 
And this is where everyone screws up. They feed the AI sh*tty data and expect gold outputs.
 
The real sequence looks like this:
 
Data enrichment FIRST → Context building → THEN copy generation.
 
Most people start with generic templates and try to sprinkle AI on top. That's why you get the same "I noticed you're hiring" opener that everyone's using.
 
Here's what works for us:
 
We build our data layer BEFORE we build our copy layer.
 
Examples: Patent filings. Acquisition rumors. Executive changes. Product launches. Compliance changes. Industry shifts.
 
We feed THAT to our AI and get insanely good copy.
 
So my advice?
 
Stop trying to fix your copy. Fix your data.
 
P.S. If you want to build bulletproof GTM systems, DM me.

Built 3 companies. 1 exit. Processes MILLIONS of emails daily

Vaibhav Namburi is joining Tuesday Triggers next week... 

and I'm honestly SUEPR excited about this one

- V Started Five2One with $500 in 2017. 
- Hit 7 figures in 11 months and 28 days.

- Then launched SmartWriter in 2021. 
- Scaled to 14,000 users including Facebook, Stripe, and VaynerMedia.

- Then started Smartlead in June 2022.

Now he's helping process millions of emails daily for agencies and enterprises worldwide.

And he's dropping some SERIOUS insights for our Tuesday Triggers community.

Tuesday Triggers is a free community where I bring in the sharpest operators in cold email, AI automation, and agency growth for weekly deep-dives.

Here's what we're covering on November 25th:

↳ How to future-proof your infrastructure 
↳ Big innovations Smartlead is dropping (you'll hear it here first)
↳ The hurdles agencies CAN face in the next 3-6-12 months (and how to prep NOW)

Mark your calendars.
 
Tuesday, November 25th.
 
Limited spots available.
 
Register here: https://luma.com/yjujicn6

I've sent ~15 million cold emails in 2025 so far.
 
Yeah, you read that right. FIFTEEN MILLION.
 
And here's everything you need to know about what ACTUALLY works in 2025:

11 Cold Email Lesson 

90% of the personalized emails are just LinkedIn stalking.
 
And some people can't even stalk properly. Here's why:
 
I get pitched about 40 times a day (LinkedIn + Email)
 
"Saw you are the Founder at RevGen Labs..."
"Loved your vision for RevGen Labs..."
 
Yeah mate, I wrote that on LinkedIn. Now what?
You scraped my LinkedIn? Cool.
 
Did you scrape my problems?
No you didn't. And this is exactly what has made cold outreach BORING.
 
People follow this and when they don't get result they say "Cold outreach is DEAD"
 
Cold outreach isn't dead. Your process is. Here's what works instead:
 
SIGNAL-BASED PERSONALIZATION:
 
We built our own AI research agent that monitors these signals across our client's ICPs:
 
→ Tracks 17 different intent signals per prospect
→ Scores relevance based on timing and context
→ Writes the first line based on the highest-signal event
 
Signals like:
 
➤ They just hired their first DevOps engineer
➤ Their pricing page changed 3 times in 2 weeks
➤ They're getting roasted in G2 reviews for integration issues
 
Traditional approach: "Saw you're VP of Sales at SaaS company..."
 
Our approach: "Noticed your team's been hiring SDRs while your CEO posted about pipeline visibility issues twice this month..."
 
Because outbound isn't about writing a better line. It's about knowing something they don't.
 
This separates pros from people playing email roulette. Suddenly, mentioning their job title feels amateur compared to mentioning their actual problems.
 
What's the most obvious copy-paste job you've seen lately?

I'm sure everyone who uses Clay has somewhere along their journey binge-watched Patrick Spychalski's content... I definitely have.
 
He runs one of the biggest outbound agencies, The Kiln.
 
And next Tuesday, he's jumping into Tuesday Triggers to share his journey of starting and scaling his agency exclusively with my community.
 
Perfect for anyone thinking about starting their own agency or getting into the outbound space. He'll cover what worked, what didn't, and what he'd do differently if he started over today.
 
Tuesday Triggers, where 400+ agency owners and SaaS founders help each other out because we're all trying to figure out the same thing: how the hell do you scale outbound without losing your soul (or your sanity)?
 
In the last 30 days, we've got big hitters like:
 
• Nick Abraham
• Jesse Ouellette
• Ilija Stojkovski
• Vaibhav Namburi
 
If you're running any kind of outbound and you're NOT in this room... honestly, you're missing a lot of insider knowledge that's shaping how the top 10% agency owners actually do this stuff.
 
Want to join the session?
 
Register here: https://luma.com/ni5o7iks
 
P.S. DM me if you want to join the Tuesday Triggers community.

Still running the same cold email plays as last year?
 
Time to UPGRADE.
 
I'm going live with Akash Ravikumar on Smartlead Office Hours this Thursday to break down exactly what's working and what will work beyond 2025.
 
On Thursday's Office Hours, I'm sharing the MODERN outbound playbook that's driving results for RevGen Labs:
 
→ The 3 core cold email pillars: deliverability, targeting, messaging
→ When to add AI or incentives without killing your reply rates
→ A simple framework to build outbound from scratch or fix what's broken
 
Time: 🗓️ Thursday, Dec 4 ⏰ 10 AM EST
 
Save your spot: ﻿https://luma.com/ttveo8am
 
See you there.

🔥 TT SESSION TODAY - 8AM PST 🔥

Ilija from HeyReach.io is joining us to share how HeyReach.io hit $9M ARR in 28 months.

If you don't know Ilija, he's the CTO who built HeyReach.

And how to built a system that kills “LinkedIn → CRM → ChatGPT → LinkedIn → repeat” insanity.

Never been to a TT session? 

Perfect time to jump in.

Register: https://luma.com/k4t79sc6

Ilija Stojkovski is one of the brains behind HeyReach.io's wild growth.
 
They've hit $9M ARR in 28 months.
 
His team booked 1,800 demos in 14 months. Closed 600+ deals in one year.
 
And over the last 3 years, they kept seeing the same pattern with customers:
 
→ Jump to LinkedIn. Copy and paste the same message.
→ Jump to CRM. Paste lead info.
→ Jump to ChatGPT. Generate response.
→ Jump back to LinkedIn. Send.
 
Rinse and repeat until your brain melts.
 
But Ilija and his team cracked this. His system connects LinkedIn, CRM, and AI into one seamless flow.
 
That's why I'm bringing him to Tuesday Triggers - our 430+ member community of SaaS founders, agency owners, and sales leaders who share what's actually working in outbound.
 
And he's breaking it all down for us in a live session.
 
What you'll learn:
 
• LinkedIn sequences that get responses
• CRM integration that tracks every interaction automatically
• AI workflows that personalize at scale 
 
November 18th. 8 AM PST.
 
Limited spots.
 
Register here for the session: https://luma.com/k4t79sc6

Last month I resumed Tuesday Triggers sessions and had an amazing first guest - Nick Abraham
 
And here are 5 lessons that every operator should follow:
 
1. Too many cooks kill your kitchen
 
Most agencies have account managers, GTM experts, VAs, and 10 people in one Slack channel for ONE client.
 
The winning approach --> client gets ONE person.
That person does everything --> onboarding, strategy, campaigns, reports, communication. Everything.
 
2. Simple scales, complex fails
 
When starting out, many try omnichannel campaigns with calls, emails, LinkedIn, and fancy dashboards. Complete mess. Strip it down to what actually drives results.
 
Ask yourself: "Out of all the things in here, what's actually leading to results?"
 
3. Don't wait to assess campaigns
 
Most agencies wait until campaigns are nearly done before evaluating. Change to 7 days. You know within 48-72 hours if it's going to be a winner.
 
4. Track department numbers, not individual clients
 
Weekly calls should focus only on: 

- total emails sent, 
- total replies, 
- total leads submitted, 
- email-to-lead ratio. 
 
5. Domain-level analytics save campaigns
 
Build a dashboard that shows domain performance vs. overall average. Campaign getting 1.5% reply rate looks decent, but if it's 57% worse than average - kill the domain immediately.
 
P.S. If you want to join the next Tuesday Triggers session, the link is in the comments.

Next Tuesday, I'm hosting one of the OGs of the cold email space, Jeremy Chatelaine 🔥, founder of QuickMail.
 
Jeremy built one of the FIRST cold email platforms.
 
His podcast with 300+ episodes is top-rated in the cold email space.
 
The man knows his stuff.
 
And I'm bringing him to the Tuesday Triggers community - my private group of cold email KILLERS who meet weekly for exclusive calls with industry leaders.
 
This is intimate. Raw. ACTIONABLE.
 
The Tuesday Triggers crew gets access to frameworks that'd cost $5K+ at some mastermind.
 
Jeremy's gonna break down:
 
→ His latest deliverability hacks for 2026
→ How to scale one-to-one feel without losing your soul
→ Why most agencies are getting their infrastructure WRONG
 
Time: 8 AM PST
 
Book your slots here: ﻿https://luma.com/uxrb0bxy

How you can get companies data who got funded 3-7 days before mainstream media reports it
 
To find funded company information, the usual suspects are... 

➡️ Crunchbase notifications, TechCrunch articles, the whole ecosystem.
 
But there's a small group of operators who figured out how to skip the line.
 
They're hitting funded prospects days before anyone else knows money changed hands.
 
The secret? Public records that nobody bothers checking.
 
Here's what's happening:
 
➡️ SEC filings go live 3-7 days ahead of media coverage. 
➡️ Form D submissions are mandatory within 15 days post-funding.
➡️ But companies typically file within hours to avoid compliance issues.
 
This creates a window where the information exists... but isn't being monitored.
 
And I recently came across a post by Giorgio Zanella who created a workflow to get financial information before mainstream media providers pick it up.
 
Go follow that process and get yourself some new clients.

GTM Engineer - passionate about data DM if you have a cool API to try

💰 Funding information is so important, and still 99.9% of people get their information all at the same time when Crunchbase, TechCrunch, and other main newspapers and data providers release it.
But what if there was a way to get this information days earlier, be the first one in the market to know about it - and not have to wait for the main media providers to release it? ⚡

The SEC website is a goldmine for this type of info. I get it, they probably last updated the interface back in 2004, but differently from all the classic AI B2B SDR bla bla bla startups, their website is ugly but the product (the data) actually works, and it works great! 💎
In this video I'm showcasing how to leverage Form D on the SEC website to get financial information before mainstream media providers pick it up. I leveraged the API from https://sec-api.io/ (Data2value) to pull this data directly into Clay. 

Here's a step-by-step:
1️⃣ Gather the legal name of the company (ask Claude to create the prompt)
2️⃣ Configure and execute the API call (ask Claude how to do it - if you've never done it before, just share a few screenshots and it will tell you step by step. If it doesn't work, pass it a screenshot with the error and try again)
3️⃣ Format the result in a structured format into Clay
4️⃣ If you're serious about it and you're a real tech nerd, post it on X before anyone else

Companies are legally obligated to file this information, so you can be sure it will be on the SEC website. If you want to take this to the next level, you can automatically fetch the data using the RSS feed, but that's level 2 and we'll do it in the next video.

What are the other main use cases that you're using the SEC website for? 🚀

Alan Ruchtein

CEOs: Broken pipeline & poor performer sales reps? I fix both for you in <60 days. You’ll hate how fast it works. | Modern Seller Program Founder

Your ability to book meetings, negotiate, and close deals with potential clients will determine how far you’ll thrive as a sales rep and leader.

This will allow you to:

📈 Build a career
📈 Hit your quotas
📈 Get recognition
📈 Get a promotion
📈 Get better offers
📈 Land sponsorships

However, booking meetings and closing deals it’s harder than ever:

❌ Prospects don’t return your calls
❌ Prospects don’t stop ghosting you
❌ Prospects don’t answer your emails
❌ Prospects don’t trust you as a seller
❌ Prospects don’t believe in your offer 
❌ Prospects don’t accept your LinkedIn Invite

All of these makes you feel miserable

You feel your manager’s pressure on your shoulder

And you start thinking that sales might not be for you.

Do you relate with this? Because I do - I’ve been there

This happens because the “old way” of doing sales doesn’t work anymore.

Sending 1000s of generic emails and praying they get back to you will kill your sales career.

Now, imagine having a proven system that allows you to systematically:

✅ Book more meetings
✅ Handle all the objections
✅ Move deals through the pipe
✅ Close higher tickets in less time
✅ Run discovery and demo calls like a pro

And, hitting your sales quota.

Wouldn't this be the scenario you would like to be in?

The good news - I can help you get there with:

➝ My weekly Newsletter with actionable sales tactics
➝ My daily sales practical examples in my Content
➝ My sales personalized program
➝ My 1-on-1 Coaching Sessions
➝ My team Coaching Sessions

Now, how serious are you about building your Sales Career?

Let's make it happen.

👉🏼 Shoot me a DM, or head over to my Featured section.

I'll see you at the top!

Founder

Get smarter with Startup, Sales & SaaS news straight to your inbox.
A weekly email focused on the evolution of Startups, Sales, and SaaS. A fun and human voice. Everything you need to know in less than 5 minutes. No BS.

8 AI Prompts That Actually Book Meetings (Cold Email Advanced Edition)

(+ the exact wording I use to land 79+ meetings/month)

☑ ICP Research Prompt

“Act as a sales analyst. Analyse CTOs in B2B SaaS (100–500 employees). Summarise their top 5 priorities, daily pains, and buying triggers in less than 200 words.”

☑ Personalization Hook Prompt

“For this LinkedIn profile [link], draft 3 icebreakers. Keep under 20 words, avoid flattery, tie to their recent activity. Avoid jargon, buzzwords or being salesy.”

☑ Problem Hypothesis Prompt

 “Write 3 pain-point hypotheses for VPs of Sales in SaaS who missed quota last quarter. Keep each under 15 words. Make them relevant and give me a 1 line “Why it matters” for me to understand your POV”

☑ Objection Handler Prompt

 “Give me 3 tactical responses to ‘too expensive’ objection for SaaS buyers in X industry for Y role/title that are willing to buy [my solution]. Make it consultative, not defensive. Each reply must be under 25 words.”

☑ CTA Prompt

"Generate 3 high-converting CTAs for a SaaS demo request email. Each CTA must be under 12 words, avoid pushy sales language, and emphasize clear, outcome-driven value that motivates action without pressure. Prioritize clarity, psychological pull, and alignment with a business decision-maker mindset."

☑ Follow-up Prompt

"Craft a compelling two-sentence follow-up email for a prospect who opened but did not reply to my initial message [insert message 1]. Provide fresh value by weaving in a single new, research-backed insight or market trend that sparks curiosity and relevance, while keeping the tone consultative rather than transactional."

☑ Case Study Builder Prompt

"Transform the following customer testimonial into a concise, two-line cold email case study. Highlight quantifiable ROI, specific numbers, and credible impact in a way that feels authoritative yet humble—avoiding overt self-promotion while ensuring the results command attention and trust."

☑ Multi-Thread Prompt

"Identify 3 alternative stakeholders to approach if a VP of Sales does not respond. For each contact, justify their relevance by explaining their role in the decision-making ecosystem, their potential influence on the buying process, and how they could shape or accelerate a purchasing conversation."

♻️ Repost this so more people stop using GPT like an intern

77 AI Use cases every seller should know:

These are the workflows that separate average sales teams from elite modern ones, the real levers behind faster pipelines, cleaner forecasts, and higher close rates.

I put together a 77-point Sales AI Cheatsheet covering every stage of the revenue engine:

✅ Identify ideal buyers fast.
✅ Protect forecast accuracy.
✅ Automate RevOps workflows.
✅ Enable buyers to move faster.
✅ Personalize outreach at scale.
✅ Automate outbound with context.
✅ Turn every call into a coaching loop.

Whether you're an SDR, AE, SDR, Sales Director, VP Sales, or CEO, this cheatsheet shows exactly where AI adds revenue, not noise.

Want the full hig-res PDF version?

Like this post.
Connect with me.
Comment “AI SALES” and I’ll send it to you.

Follow Alan Ruchtein for more sales systems, AI workflows & revenue frameworks.

70+ meetings/month. 3.2x reply rates. 
Less than 5 hours/week of manual prospecting:

My clients are getting these results after applying modern sales strategies.

No cold scraping.
No generic “just checking in” emails.
No SDR armies.

Just one difference:

→ We don’t guess who to contact.
→ We watch.

Every signal becomes a trigger:

- Viewed your LinkedIn profile
- Followed your company page
- Registered for a LinkedIn event
- Commented on an influencer’s take
- Left a G2 review on your competitor
- Liked a post about the pain you solve

Every message starts with:

→ “Saw you…”
→ “Noticed this…”
→ “Caught your comment on…”

That’s not cold outreach.
That’s timed outreach.

It feels warm.
It gets replies.

And it’s scalable.

✅ 4x more meetings
✅ 30%+ reply rates
✅ AI sorts the heat, reps just show up when the moment’s hot

This isn’t about working harder.

It’s about removing the guesswork and selling with precision.

Signal-led sales isn’t the future.

It’s the standard now.
It’s unified, AI-powered, and human.

Comment “10” if you want the top +10 cold email frameworks we use to book this amount of meetings.

PS: Don’t say I didn’t warn you when your reply rate spikes tomorrow.

These are my 7 go-to frameworks that actually get replies:

AI won’t book meetings for you, but it’ll make sure you never run out of ways to start one

1: Pain Point + Case Study

Start with what actually hurts, back it up with proof, and end with curiosity.

2: Lead Magnet Strategy

Give value first, earn attention before you ask for time.

3: Trigger → Question → Value → CTA

Anchor to something real, ask something sharp, connect it fast.

4: Trigger → Agitation → Social Proof → CTA

Show them the pain, show them who fixed it, invite the same.

5: Competitor → Differentiation

Don’t bash but compare. Make improvement the obvious next step.

6: Bold Observation → Soft CTA

Start with truth. End with permission. It feels human because it is.

7:  External Resource Bump

Follow up with something useful. Stay relevant without chasing.

Every one of these has been tested and every one converts.

Comment “Frameworks” and I’ll DM you the Notion Library of email templates.

👉 Follow Alan Ruchtein for more outbound strategies

How I book +70 meetings/mo for clients at 20% of the cost of having 4 reps performing at full capacity:

OLD WAY

-4 SDRs
-Multiple salaries
-Bloated tool stack
-Manual research
-Manual emails
-Manual follow-ups
-20–30 meetings/month (team)

NEW WAY

-1 Modern Seller (AI-powered)
-Lean, precise, high-output
-Modern tool stacks
-60+ meetings/month (one rep)

(Partial) Techstack used:

Maildoso: Email infrastructure
Clay: Enrichment & Research at scale
ChatGPT: Personalization & Messaging
FullEnrich: Waterfall enrichment for emails/phones
DeBounce: Data validation
Instantly.ai: Sending tool

And +10 other tools to complete the full tech stack and strategy ;)

You don’t need a better product, or a fancy new feature.

You need (and deserve) the right modern GTM AI sales system that relies on intent, data, information and relevant insights.

That’s how you book meetings at scale in 2025, not by spamming prospects.

If you want to build a real process once and for all, DM me “system” and let’s do it together.

You won’t believe how fast your calendar gets hammered with qualified meetings. (I’m not cheap, but I’m good!)

Cold email isn’t dead. You treat it like it’s 2018.

3 problems I see every day (and how to solve them):

 • Prospecting = copy-paste LinkedIn bios
 • Emails = walls of text + zero POV
 • Follow-ups = “just checking in”

Here’s how I fix it with AI (20 moves you can copy today):

1: Prospecting & Research

Pull live triggers (funding, hiring, launches) in seconds with @Perplexity
Summarize top 3 pain points per persona
Flip competitor case studies into proof points

2: Email Creation

Generate 5 subject lines under 5 words
Convert LinkedIn posts into personalized openers
Shrink case studies to <25 words with ROI metric
Swap “30 min call?” with micro-yes CTAs (slide / quick reply)

3: Follow-Ups & Objections

Auto-generate 40-word bump emails
Reframe “No budget” with COI (cost of inaction)
Turn an article into a 2-line nurture follow-up

4: Testing & Optimization

Create 3 rewrites for A/B tests
Cut every email to <67 words
Rewrite tone for CFO vs CMO

5: Scaling & Sequences

Build 3-step Intro → Proof → Bump flows
Repurpose as LinkedIn DMs
Save winning prompts into a template library

Pro tip: Create your Buyer persona matrix + cold email sequence for FREE with this Custom AI GPT - https://lnkd.in/dSiceii6

Why this matters:

AI doesn’t just “write faster.”

It gives you a repeatable system for research → message → follow-up → scale.

Instead of guessing → you run a playbook that compounds every week.

If your outbound team is still stuck at <3% reply rates, you don’t need another template, you need a system.

That’s what I build for clients:

→ ICP research automated with AI triggers
→ Sequences that sound like top reps (not robots)
→ Playbooks that compound results week after week
→ Trainings that help your team to perform like elite sellers

If you want me to help you map this system with your sales team, DM me to see if we’re a fit to working together.

No surprise you’re not booking meetings through cold email. This is what you must do now:

⭢ Stay under 70 words long.
⭢ Pitch solutions, not products.
⭢ End decisively, skip “Thanks!”
⭢ Relevance cuts through noise.
⭢ Use social proof to build trust.
⭢ Write clear, skimmable content.
⭢ Speak to their goals, not features.
⭢ Interest calls to action drive replies.
⭢ Ditch buzzwords; use their language.
⭢ Subject lines make or break open rates.

𝗨𝘀𝗲 𝘁𝗵𝗶𝘀 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸:

1. Observation
2. Curiosity / value-added
3. Soft CTA
4. PS

𝗘𝘅𝗮𝗺𝗽𝗹𝗲:

"Subject line: ramp-up stress

Hey Robert, long ramp-ups create stress and don’t prep reps to perform.

Most focus on the product, not prospects. With only 29% of reps hitting quota, a better ramp-up is crucial.

Mind if I share how [competitor] cut ramp time in half and get reps hitting quota in 3 months after working with us?

Best"

If you want me to help you take your cold email game to the next level

DM me "email" and see if we are fit (2 spots left to work).

*

🛍️ Modern Seller Program Get it here: https://lnkd.in/dR_CRPGc

+32% of your inbound calls go unanswered.
And +80% of those callers never call back.
Here’s how to solve it:

Last week, I shared that stat with a founder. Small team, lean setup, SDRs booked solid.

Midday calls were basically a roulette wheel: if someone was free, great. If not? Lost revenue.

Here’s the uncomfortable truth nobody says out loud:

If you can’t answer fast, you’ve already lost.

So we did what ELITE teams do: We tested AI.

Not to replace reps. To protect revenue.

Here’s what we built using CloudTalk:

→ An AI receptionist that picks up every call
→ Instantly qualifies the lead with high quality
→ Routes the hot ones to sales, or books them straight into Calendly
→ Logs everything to HubSpot automatically

No IVRs or “hold on” music. No “sorry, we missed your call.”

Results in 14 days:

- 57 new inbound calls captured
- 19 auto-qualified and booked
- 0 reps added

It runs in the background, 24/7. No “we’ll call them back later.” 

And the funny thing? Reps actually prefer it, because all the noise disappears and they can focus on real selling.

Here’s the principle I teach every team: AI shouldn’t replace reps. It should replace the tasks reps should’ve never been doing.

AI handles repetitive stuff. Humans sell.

The phone stack is the AI stack.

If you’ve got reps wasting time on “just checking” calls… or worse, missing them entirely, test this: https://lnkd.in/dHKteqHJ

PS: Tell CloudTalk you came from me and you’ll get an extra $100 in AI Voice Agents credits on your subscription.

I’ve helped +84 sales teams to “go AI”. Here’s why 99% of companies fail at doing it:

Over the past few months, I’ve reviewed sales setups from SDR teams to VPs of Sales and the same 4 mistakes show up every single time.

Here are The 4 Layers of AI Sales Mistakes 👇

1️⃣ Prompt-Level Mistakes:

You ask for “better emails” and get generic ones.

- No info
- No ICP
- No tone
- No details
- No context
- No insights

No nothing.

AI writes like it doesn’t know who it’s talking to because it doesn’t.

2️⃣ Process-Level Mistakes

No sync between ChatGPT, CRM, and outreach tools.

No detailed process on how your team should operate.

Without a connected workflow, every rep builds their own system and that kills consistency.

3️⃣ Strategy-Level Mistakes 

You measure “output,” not “impact.”

More prompts doesn’t mean more pipeline.

More calls made or emails sent doesn’t mean more revenue.

AI doesn’t fix bad messaging or a broken sales motion, it amplifies it.

4️⃣ Offer-Level Mistakes

Your prompts don’t connect to real buyer pain. You get “personalized” fluff that sounds clever but lands flat and AI can’t sell what you don’t understand deeply.

AI doesn’t replace good selling.

It scales it, if you build it right.

DM me if you want to solve these 4 layers and stop suffering from the AI FOMO! I’ll teach, train and help you build a powerful AI sales system.

Outbound didn’t suddenly get hard. Buyers got smarter and you didn’t.

You “use AI” sure but when I look under the hood, it’s still the same manual guessing game.

The teams actually getting replies?
 
They treat AI as infrastructure, not a shortcut and they nail all 10 of these 👇

1️⃣ Are you letting AI track buying signals before you even start outreach?
If you’re not… you’re basically guessing. That’s not prospecting.

2️⃣ Are leads enriched instantly so reps aren’t flying blind?
Because nothing kills relevance faster than missing data.

3️⃣ Does every outbound message actually start from a real POV?
AI should give you context → you turn it into clarity → that’s what gets replies.

4️⃣ Is your messaging adapting to behavior, or are you still running static sequences?
If it doesn’t react, buyers ignore it. Simple

5️⃣ Are reps still doing manual research?
They shouldn’t be. Intel briefs should hit their inbox automatically.

6️⃣ Are your emails rewritten for clarity and mobile?
Buyers skim. Most reps write novels. You already know how that ends.

7️⃣ Are you analyzing wins with AI to see what’s actually working?
Because “my gut says…” is not a strategy.

8️⃣ Is AI doing the grunt work so reps can spend their time on actual conversations?
This one alone frees up 5–10 hours a week. Every week.

9️⃣ Are objections being handled before the prospect even raises them?
Top teams don’t react. They prevent it.

🔟 Are reps trained to operate AI as a workflow, not treat it like some shiny tool?
This is the real separator between “using AI” and actually winning with it.

If you're not answering “yes” to at least 8 of these, you’re not AI-native, you’re just an AI simple user.

If you want to solve this, DM me “AI” and let’s see if we can work together on building a robust Sales-AI-driven process together

AI is tracking more about your pipeline than your reps are. Here are 15 metrics AI catches that humans ALWAYS miss (and why it matters):

Save this. Your competitors will.

1. Deal Stagnation Alerts

AI flags every opportunity that has been idle for more than 14 days and scores the risk based on the stage and silence duration.

2. Velocity by Persona

Know exactly how fast VPs, Directors, or Managers move between stages. Different personas have different speeds.

3. Pipeline Leakage Detection

AI shows where deals die (after demo, proposal, negotiation) and why they die using call transcripts and CRM analysis.

4. Sentiment Shifts in Calls

Tracks tone, pauses, hesitation, interest.  Buyers tell you everything without saying it.

5. Email & DM Emotion Tracking

NLP scores every reply as positive, neutral, or skeptical. You’ll know who’s actually leaning in.

6. Content Interaction Heatmaps

Which links, PDFs, and messages does your ICP click, read, or ignore.

7. Reply Rate by Value Prop

ROI vs. efficiency vs. cost savings: AI reveals which angle hits hardest.

8. Objection Type Frequency

Automatically tags “budget,” “timing,” “not a priority,” and trends it across calls. You’ll see patterns your reps never notice.

9. CTA Conversion Rate

“Quick reply” vs “Deck?” vs “15 minutes?” AI tells you which CTA closes by persona.

10.  Talk-to-Listen Ratio

Tracks rep talk time vs buyer talk time and correlates it with win rates. Top reps talk less. Always.

11. Discovery Question Depth

Score questions by quality, layering, and intent. This stops surface-level discovery.

12. Follow-Up Timing Impact

Same-day vs next-day. AI knows which timelines close faster (hint: timing leads to conversion).

13. Deal Confidence Scoring

82% close probability? AI calculates it using:
→ call signals
→ response patterns
→ champion strength
→ engagement

14. Risk Heatmap by Stage

Missing champion. No urgency. Budget unclear. AI surfaces risk BEFORE the deal stalls.

15.  Rep Forecast Reliability

Compare "rep gut feeling" vs reality. You’ll see who’s overconfident and who’s accurate.

AI isn’t replacing reps. It’s replacing every blind spot they’ve had for 20 years.

Join +6218 heroes at The Modern Seller FREE & TACTICAL newsletter: https://alanruchtein.com

And DM me if you want me to help you build high-performance sales & revenue systems.

If you still qualify your leads manually, STOP. Do this instead:

One of the sales teams I support was stuck in the usual loop

→ Hot leads sitting untouched
→ Manual routing causing rep fights
→ Objection handling all over the place

RevOps? Buried.
Engineering? “Maybe next sprint.”
Quota? Slipping.

So I stopped waiting. Opened Replit.
And started building live, with the team.

Here’s what we built, together, in under 90 minutes:

#1 — 𝗔𝗜 𝗟𝗲𝗮𝗱 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗲𝗿 (22 𝗺𝗶𝗻𝘀)

→ Pulls new leads from HubSpot
→ Scores by ICP fit, intent, and deal size
→ Routes hot leads instantly
→ Logs low-fit leads for marketing

Impact: + 31% demo rate & -43% response delay

#2 — 𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝗼𝗻 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 (31 𝗺𝗶𝗻𝘀)

→ Reps log objections via Slack
→ AI tags by category + urgency
→ Links battlecards automatically
→ Flags recurring issues for managers

Impact: Cleaner feedback loops, faster coaching, better win rates

#3 — 𝗦𝗹𝗮𝗰𝗸-𝘁𝗼-𝗤𝘂𝗼𝘁𝗲 𝗧𝗼𝗼𝗹 (30 𝗺𝗶𝗻𝘀)

→ AE types “/quote” in Slack
→ AI fills in pricing based on CRM
→ Routes to manager + logs activity

Impact:  –68% quote approval cycle time

We didn’t write code.
We didn’t wait for approvals.

We typed what we wanted in plain English, and Replit built it.

Everything deployed instantly.
No OAuth mess. No Zapier chain. No dev blockers.

This is the new sales edge: If you know the process, you can build the system.

Start here: https://replit.com/mobile

2 emails, 1 meeting booked in 10 minutes.
The Email Forward Strategy (explained below):

Most cold emails get ignored.

But there’s a play that flips the script — and books meetings fast.

I call it The Forward Strategy.

Here’s how it works:

You’re targeting a mid-market SaaS org. Their CRO just posted on LinkedIn about missing revenue targets.

In the comments: pipeline quality comes up.

𝗦𝘁𝗲𝗽 1: 𝗘𝗺𝗮𝗶𝗹 𝘁𝗵𝗲 𝗖𝗥𝗢

“Saw your post on rev targets. Teams in your space are tightening up pipeline quality by doing X, might be worth a look.”

You’re not expecting a reply.
You’re planting a signal.

𝗦𝘁𝗲𝗽 2: 𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗶𝘁 𝘁𝗼 𝘁𝗵𝗲 𝗩𝗣 𝗼𝗳 𝗦𝗮𝗹𝗲𝘀

With one sentence on top: “Saw this from [CRO Name], figured you might want eyes on it.”

Why it works:

→ It looks internal. Like the CRO passed it down.
→ It feels relevant. No pitch, just intel.
→ It uses social proof sideways. Exec is the signal. VP takes action.

It doesn’t feel like outreach.
It feels like context.

Here’s how to run it:

Find a CRO public trigger tied to a pain you solve. 
Send them a cold email with a sharp POV.
Forward it to their VP with that one-line intro.

No faking. No fluff.
Just smarter sequencing.

It’s not mass automation.
It’s surgical outbound.

Want to make it land? I use FullEnrich to get all the right emails and data.

Because even the best play flops if you’re emailing the wrong (or no) person.

#fullenrichpartner

Brand partnership • CEOs: Broken pipeline & poor performer sales reps? I fix both for you in <60 days. You’ll hate how fast it works. | Modern Seller Program Founder

Your “AI SDRs” are just faster spam (or scam) and don't work. Here’s what an AI Sales agent that works should look like:

One VP Sales told me, “We automated our SDRs, now we’re just getting ignored faster.”

Why? Because they didn’t fix the motion, they just sped it up.

Same dead leads.
Same spray-and-pray emails.
Same cold lists from last quarter.

All they did was replace junior reps with AI that sells like junior reps.

Here’s what we built for a client using Alta | AI Revenue Workforce:

Inbound started spiking, mostly fintech teams.

The inbound AI agent (Alex) flagged the pattern instantly.
No form fill reports. No waiting 48 hours. Just signal.

The outbound agent (Katie) picked it up.
Built a list of 30 lookalike companies:

→ Same tech stack
→ Similar hiring trends
→ Matching ICP

Campaign launched that day: “We’ve been helping fintech teams tackling [pain] by doing [action]. Sound familiar?”

→ Follow-up: “Still relevant?” with a 1-line value hook.

Result: 4 meetings in 2 days. 2 came from auto follow-ups.

Here’s the kicker:
One VP came inbound, but timing was off. So we set a smart trigger: re-engage if they post an SDR role.

Three weeks later, trigger fires: “Hey, saw you’re hiring SDRs. Still thinking about pipeline coverage?”

→ 13-minute reply.
→ Meeting booked.
→ Deal closed 22 days later.

No human lag. No lead drop-off. No guessing.
Just one system, talking to itself.

Inbound feeding outbound.
Outbound reviving inbound.
All running 24/7.

That’s what AI in sales is supposed to look like. That’s the REAL AI SDR power.

If your AI SDR is still just sending cold emails, you don’t need a better copy.

You need a new system.

Want to quietly crush Q1 like this?

Try Alta | AI Revenue Workforce. Stop playing with tools that brag about being “AI.”

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