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

STEAL MY 35,000+ Recruiting & Staffing Agency Lead List - FREE
 
I've been sitting on this for a while. Figured it's time to just put it out there.
 
If you are thinking, "Why are local leads different?" here's why:
 
These aren't procurement committees and 6-month sales cycles. These are owner-operated agencies. One decision maker. They trust someone who actually knows their market - not another vendor cold blasting from a spreadsheet.
 
Less competition. Faster close. And almost NOBODY is targeting them right now.
 
Here's exactly what's in it:
 
👉 Owner name + their LinkedIn profile link
👉 Whether they're spending on ads RIGHT NOW
👉 Reviews, ratings, review keywords
👉 Competitors mapped out
👉 Address, hours, whether they're temporarily closed
👉 Whether the listing can even be claimed
 
Why free? Because I can, and if it helps you close one deal - worth it.
 
1. Like this post
2. Comment "Staffing"
3. Send me a connection request
 
I'll send it over personally in the next 24 hrs.

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

I've been MIA from LinkedIn for the last 2 months.
 
And it was the best thing I did for the business.
 
Got the time I needed. Read 2 books.
 
And actually good ones - which almost never happens.
 
1. Traction
 
Got the rec from Jeremy Chatelaine 🔥 at a Tuesday Triggers session. I don't usually take sales books seriously. Most are just someone explaining how great they are for 250 pages. Painful to read.
 
But this one was different. The book talks about EOS (Entrepreneurial Operating System). It isn't new. Tens of thousands of companies run on it.
 
And I liked it because it's basically a system for stopping yourself from being everything to everyone.
 
Which is exactly what I was doing.
 
2. Built to Sell
 
Written by John Warrillow.
 
The narrative is built around a guy who owns a marketing agency. Makes a couple million a year. Clients own him. Team's a mess. No real exit path.
 
The fix?
 
- Build a Standard Service Offering.
- One thing you do better than anyone.
- Document the process. Hire specialists.
- And stop taking everything that walks in the door.
 
That's it.
 
Between the two, I realized at RevGen Labs we've been building mountains to climb over instead of just... not building them.
 
Already started implementing EOS. Early. Messy. But moving.
 
Got some exciting stuff lined up this year. Stick around... :)

Vishesh Jain 🐼 is booking 20 meetings/day by sending 200 emails/inbox.
 
And as he dropped that message in the Tuesday Triggers group, questions were flying left, right, and centre.
 
(If you are a cold email or lead gen agency owner and want to join Tuesday Triggers, Comment "TT" and I'll add you to the group)
 
Later Vishesh ended up writing a whole post about it. I'll link it below. But first - here's why it works.
 
Most agencies will tell you your campaign is underperforming because of deliverability. Or your copy. Or your targeting.
 
But almost nobody looks at the offer, which is the actual problem.
 
At RevGen Labs, before we send a single email for a client, we do this:
 
We audit everything. Current offers, past attempts, what's been tried before, who they're actually selling to. If we don't have this figured out, we will not make the campaign live.
 
Then we brainstorm 20 to 30 lead magnet ideas. We had a custom GPT trained on every high-performing lead magnet we've seen work. Now we do it via Claude Code. We plug the client's business in and just generate.
 
The prompt: Use /lead-magnet-skill - generate 30 lead magnet ideas for [url]. Filter for offers that trade time, not assets. No PDFs. No courses. No audits.
 
Then we pick the best 3 to 5 and test them.
 
A few things to mention:
 
Nobody really cares about a PDF. Nobody really cares about a course. And definitely, nobody wants a free audit. People don't want their taxes audited. Or SEO strategy. Or Meta ads.
 
The only thing that still converts is your time.
 
→ A call where you actually build something for them
→ A strategy session where they walk away with a real deliverable
 
Whatever the first step of your service is - GIVE. THAT. AWAY. FREEEEE.
 
No-brainer. People know that's worth money. That's why it works.
 
Vishesh figured this out. His offer is ripping his TAM.
 
Link to his post in the comments - worth reading if you're straight-up serious about this. 👇

Your GTM guy books a call for a client. Confirms it. But prospect ghosts. So who's actually responsible - the person who set the call or the person who didn't show up?
 
The EASY answer is to blame the prospect. We don't.
 
Because in almost every no-show we looked at across a bunch of clients, the targeting was fine. The prospect was real. The interest was there.
 
What killed it every time was what happened between the booking and the call. That window is the most neglected part of the entire sales process and it's bleeding show rates dry.
 
Here's what we do at RevGen Labs:
 
[1] Confirmation page - the second they book, they land on a page with a short video of me introducing the company. Case studies. Testimonials. Stats. Just enough to remind them what they said yes to.
 
[2] 24 hours before - we send a helpful doc on deliverability fixes. Something actually worth reading. With Real value.
 
[3] 2 hours before - another short touchpoint. A bit more social proof, a few testimonials. Keeps the call top of mind without being annoying about it.
 
Taylor Haren just did a video on this - he uses Cal.com for the booking workflow, which is worth looking at if you're rebuilding this from scratch.
 
One thing I'll say: don't over-sequence this. There's a version where you're hammering people with 6 emails before a 30-minute call and they show up annoyed. The goal is for them to feel like their time won't be wasted - not like they accidentally signed up for a nurture sequence.
 
If you're doing outbound and booked meetings keep ghosting you, grab some time here: ﻿https://lnkd.in/gkAANh7a

One of the most DANGEROUS beliefs in outbound is believing a trigger will save bad copy.
 
The trigger hype cycle is exactly like NFTs.
 
Lots of noise. But ONLY a few winners.
 
How do I know that?
 
I've watched teams spend weeks on scrapers, Clay workflows, Apify setups. HELL EVEN we did it. All while chasing the perfect trigger.
 
One of the triggers was "website visitor identification." It was supposed to be the MASSIVE unlock. So massive that everyone lost their mind over it.
 
But it worked only if you were pulling serious US traffic.
 
The reality is that triggers are an addition to a working system.
 
And not a replacement for one.
 
We've seen sequences sit at 0.1% reply rate. Same list. Same setup. Change up the verbiage slightly. Suddenly 2-3% reply rate.
 
Just better copy.
 
Find what converts. Then make it smarter.
 
What trigger did you spend the most time building that ended up being a flop?
 
Also, massive shoutout to Smartlead, they've been our partners since the inception of RevGen Labs. I was invited to Smartlead office hours a few months ago, forgot to share the video. You can watch it here ﻿https://lnkd.in/gN8_vGFE

18 months ago if you told me cold calling was still a viable channel I would've said no way.

Now we have a whole team of cold/warm callers.

Took us a while to commit to it honestly. But we did. 

And we figured out pretty quickly that it all comes down to how you clean and enrich your data. We used to string together like a whole bunch of tools, which helped a ton with connect rates. Plus we've figured out some of our own secret sauce along the way.

But the ops side of it was a nightmare. 

Dialer in one tab. Enrichment tool in another. CRM open on the side. Rep finishes a call, has to log it manually, check the email history separately, schedule the follow-up somewhere else. 

By the time they're done with admin - they've lost the momentum from the call.

We were running 5 different tools just to make it work.

But dialing straight out of Smartlead's SmartDialer has made things a. ma. zing.  Deal rate went up by 23%. 

Everything's in one place - call history, email history, notes, follow-ups. As soon as the rep hangs up and it's already handled.

Been using Smartlead since the early days. Vaibhav always delivers. This one's no different.

If you're a Smartlead user already, Smartdialer one's gonna make your life way easier. Thank you thank you thank you.

Check it out here https://lnkd.in/gMbsizd7

Using Claude Code right now is like getting your hands on TikTok back in 2018.
 
Not many people know about it. And even fewer are actually using it.
 
I'd guess maybe 1% of people in GTM have touched it. The rest have heard the name, seen a few posts, but haven't actually opened it.
 
This post is for that group.
 
Here's how to actually get started:
 
There are 4 ways to run Claude Code:
 
[1] The desktop app. Download it from claude.ai. Sign in. If you've used ChatGPT, you already know how this works.
 
[2] The terminal. Follow instructions on code[dot]claude[dot]com
 
[3] Inside an IDE. I use Antigravity.
 
[4] Get the Claude Code extension. If you can't get the Google it - there are a bunch of walkthroughs that'll get you set up in 10 minutes.
 
Pick whichever matches how you already work.
 
Once you're in, the first thing to do is create a CLAUDE.md file.
 
This is your system prompt for the project. It tells Claude what you're building, what tools you're using, what your data looks like, what your ICP is. Without it, Claude is generic. With it, Claude becomes specific to your stack.
 
Think of it like onboarding a new ops person. You wouldn't just say "go build campaigns." You'd explain your tools, your signals, your enrichment flow, your copy frameworks. The CLAUDE.md file is that onboarding doc.
 
Next, use Plan Mode before you build anything. Plan Mode makes Claude think harder, ask better questions, and catch gaps you missed. Start every complex task there.
 
Third, develop your own Claude skills. These are reusable knowledge packs. If you do enrichment a certain way, or build n8n workflows, or have a copy framework that works - save it as a skill. Claude loads only what's relevant per task.
 
One thing most people miss:
 
At the end of every session, tell Claude to update the CLAUDE.md file.
 
The CLAUDE.md file is the brain. Every time you close a session, that context disappears. But if you tell Claude to update the file before you close, it saves what it learned. Next session, it starts from that stored knowledge instead of starting from scratch.
 
Once you learn it, you can build plays like:
 
→ Score and filter against your ICP
→ Find decision-makers via Sales Nav search
→ Enrich contacts across multiple providers
→ Generate personalised copy at scale
→ Push leads to your fav seqeuncer automatically
 
All of this runs from Claude Code.
 
Start with one workflow. Improve it. Deploy it. Then build the next one.

I receive ~ 100 personalized DMs and emails every week.
 
And I don't reply to a single one.
 
They all follow the same pattern. Open with something real - a win, a case study, something off my LinkedIn. Then pitch me something I'd never buy in a million years.
 
Simple rule I live by: I don't reply to messages I wouldn't send to myself.
 
That personalization - the 'saw your post about X' opener followed by an unrelated pitch - people see right through it now. Random triggers don't work anymore.
 
The only thing that matters is the offer. And whether the thing you scraped is a real reason this person would want it right now.
 
Here's how to fix this problem:
 
Before any trigger goes into a campaign, ask yourself:
 
"Why does this signal make this person a good fit for this specific offer?"
 
If you can't answer that in one sentence, the trigger doesn't go in.
 
Because a trigger that's true but disconnected actively signals that the outreach is automated. Prospects clock it instantly even if they can't name it.
 
And almost nobody sending those emails knows that's the reason they're not getting replies.
 
Want to be in a room where top GTM experts talk cold email in depth - with a few jokes thrown in?
 
Comment "TT" and I'll add you to Tuesday Triggers.
 
Cold email and lead gen agency owners only. 👇

Running an agency is not always clean.
 
Fellow agency owners will relate to this one
 
I have been in tough situations where I had to cut costs heavily.
 
I am dead sure some of you have been in situations where the revenue numbers look fine on paper but your gut tells you something is off.
 
- Payroll decisions.
- Tools we thought we needed.
- A hire that made sense six months ago but not anymore.
 
Darn it. It is not a fun process.
 
But going through it taught me some of the most important financial lessons I know.
 
1. Your P&L is a liar.
 
You can have a great month on paper and be one payroll away from trouble.
 
Cash in the bank is the only number.
 
2. Build a document you update every single Monday.
 
- Starting cash >> what is actually in the bank.
- Cash in >> real payments that have cleared.
- Cash out >> everything leaving. Payroll. Contractors. Tools. Etc.
 
3. Collections will bleed you slowly.
 
In a service business the gap between cash and what your books say is almost always a collections problem.
 
4. Before every major financial decision run three scenarios.
 
- Revenue drops 10 percent.
- Revenue stays flat.
- Revenue grows 10 percent.
 
If the bad scenario kills you do not do it.
 
This one framework alone will save you from some very emotional and very expensive decisions.
 
5. Agency owners scale fast and hand out cards with no limits and no policy.
 
- Set spending limits by role instead.
- Do weekly reviews not monthly ones.
- Seven days to catch a mistake means you fix it Monday.
 
No one is born good at running a business.
 
Most of us figure this out after an expensive mistake.

Thanks for having me over Smartlead team. 

Had a blast at the session 🔥 

If anyone is grinding on cold email, outbound, or GTM... you already know what to do. DMs are open.

Stop blowing up your infra with bad data. 

Watch Christian Oland and our panel of outbound experts break down the exact data enrichment systems you need https://lnkd.in/gyUJnzfU

Mailin helps B2B businesses set up 100s of mailboxes in less than 10 minutes & 83% cheaper than Google or Outlook.

Learn more here: https://mailin.ai/

Tomer Levi

R.I.P Cold Email Deliverability.

Claude 4.6 just broke it.

Most people are still trying to "crack" cold email with random templates.

That's why they stay stuck.

Emails landing in spam. Reply rates under 1%. Zero pipeline.

Here's the truth nobody wants to admit:

The deliverability wasn't the problem.

The system was.

Sonnet 4.6 fixes that, but not the way most people use AI.

Not as a template generator.

As a cold email revenue engine.

Here's what the Claude 4.6 Cold Email Engine actually does:

→ Analyzes what's working in your niche RIGHT NOW
→ Extracts frameworks from the highest-converting sequences
→ Builds copy around proven reply patterns
→ Generates scroll-stopping openers automatically
→ Matches your voice so precisely it sounds handwritten
→ Reverse-engineers your competitors' best-performing angles in seconds

The old way:
Write → Send → Hope → Repeat → Plateau

The new way:
Analyze → Personalize → Send → Reply → Close

I tested this with a client last month.

One campaign. Real numbers. Zero inflating:
→ 11%+ reply rates consistently
→ 20+ positive replies within the first week
→ Copywriting time dropped to 12 minutes per sequence
→ Sending volume increased 3x without touching deliverability
→ Every email sounds human because it's trained on their voice

While everyone else is fighting spam filters

This system works with them.

Want the exact Claude 4.6 Cold Email Engine?

Comment "EMAIL" below.

I'll send it straight to your DMs.

Send emails at scale & without landing in spam - 83% cheaper than Google / Outlook

R.I.P generic outbound copy.

I just fed 100 million cold emails to Claude.

And it just replaced $5,000 per month outreach teams for dozens of companies.

I have tested every AI model for cold email.

GPT-4. Gemini. Grok. Llama.

They all write okay emails.

But okay does not book meetings.

Claude outperforms every single one of them.

Not because it writes faster.

Because it writes smarter.

So I built a custom Claude trained on 100 million cold emails and I am giving it away.

Here is what it actually does:

→ Scores every prospect on 15 to 20 intent signals
→ Writes personalised copy based on real intent data
→ Builds and tests 3 to 4 copy variations
→ Optimises every email for deliverability
→ Takes under 45 seconds per prospect
→ Trained on campaigns that generated $100M+ in revenue
→ Analyses patterns from 100,000+ qualified leads
→ Uses every A/B test winner from the last five years
→ Eliminates generic templates completely
→ Replaces expensive SDRs who quit after three months
→ Builds your full email infrastructure from the ground up

This is not a prompt.
This is not a template.
This is a complete outbound system trained on more cold email data than any SDR will ever read in a lifetime.

While every other company is paying $5,000 per month for a team that writes okay emails.

This system writes great ones in 45 seconds.

Comment "CLAUDE" below.

And I will send you access.

R.I.P Cold email agencies…

This Cold Email GPT replaces your entire $5,000/month outreach team

Because I just fed 100M+ cold emails to GPT-5.2

And the results are insane.

The new GPT:

1. Scores prospects on 15-20 signals before outreach
2. Writes personalized copy based on intent data
3. A/B tests 3-4 variations per segment automatically
4. Optimizes every email for deliverability
5. Takes under 45 seconds per prospect
6. Trained on $100M+ in revenue-generating emails
7. Analyzes 100K+ qualified leads patterns
8. Replicates 10K+ meeting-booking sequences
9. Uses every A/B test winner from past 5 years
10. Eliminates generic templates completely
11. Replaces expensive SDRs who quit in 3 months
12. Builds you Email infrastructure

Comment "GPT" and I'll send you access

RIP to expensive Cold Email agencies.

I just fed 100M+ cold emails to Gemini 3…

This custom Gemini has replaced $5,000/month outreach teams for dozens of companies.

And I'm giving it away for FREE ↓

What it does:
1. Scores prospects on 15-20 signals before outreach
2. Writes personalized copy based on intent data
3. A/B tests 3-4 variations per segment automatically
4. Optimizes every email for deliverability
5. Takes under 45 seconds per prospect
6. Trained on $100M+ in revenue-generating emails
7. Analyzes 100K+ qualified leads patterns
8. Replicates 10K+ meeting-booking sequences
9. Uses every A/B test winner from past 5 years
10. Eliminates generic templates completely
11. Replaces expensive SDRs who quit in 3 months
12. Builds you Email infrastructure

No more paying $5,000/month agencies.

No more hiring SDRs who quit in 3 months.

Comment "GEM"

And I'll send you access.

RIP generic cold email templates.

I built an AI that writes better ones in seconds.

And I'm giving it away ↓

The AI:
✅ Audits your cold email instantly
✅ Finds exactly what's broken
✅ Rewrites your copy on the spot
✅ Fixes subject lines, openers, and CTAs
✅ Creates follow-up sequences that convert

ALL in real time.

Based on the 500M emails we have sent in the last 3 years.

Built on Claude.

Templates are dead.

Personalized, optimized emails win.

Want it?

1. Connect with me
2. Comment "COLD"

I'll send it directly.

(No opt-in)

P.S. - One founder went from 2% to 14% reply rate after one audit.

I found a private inbox provider that costs $1.20/inbox.

Meanwhile most agencies are still paying $7.20.

Multiply by 1,000 inboxes = $86,400/year.

Plus domains burning every 6 weeks.

Plus 3+ weeks warmup per domain.

Plus constant ban anxiety and firefighting.

What this costs now:

$1.20 per inbox on private infrastructure.

The provider handles the heavy lifting while you focus on campaigns.

The Infrastructure:
→ Setup: Automates inbox creation in 10 minutes (no tech skills). 
→ Monitors: Real-time deliverability tracking across all domains. 
→ Protects: Zero bans at any volume (proven at 67M emails/month). 
→ Delivers: 98% inbox placement, not spam folders.

Results from agencies using this:

- 26.29% reply rate
- One agency scaled to 800K monthly emails
- $72M in pipeline generated
- 83% cost savings vs Google

Want to know about this infrastructure?

Comment "PROVIDER"

And I'll send you the details.

R.I.P paying Google $7.20 per inbox

I just sent 24.4 million emails at $1.20 per inbox.

3.33% reply rate.
$72,000,000 in pipeline.
$72,000 saved per year.

Most cold email operators have never questioned what they pay for inboxes.

Google charges $7.20 per inbox per month.

Everyone pays it because everyone else pays it.

Nobody does the math.

So I did it for you:.

$7.20 × 100 inboxes × 12 months = $86,400 per year.

That is what you are sending to Google every year for infrastructure that was never built for cold email volume.

$1.20 × 100 inboxes × 12 months = $14,400 per year.

That is what this system costs.

$72,000 difference.

Every year.

And it outperforms Google on deliverability.

Not slightly.

Across every metric we track at volume.

We proved it at scale.

- 24.4 million emails sent for one client.
- 3.33% reply rate maintained throughout.
- $72,000,000 in pipeline generated.

At $1.20 per inbox.

The infrastructure is not a commodity decision.

It is the foundation everything else sits on.

Want the system that saves you $72K per year?

Comment "MAIL" below.

I will send the link straight to your DMs.

STOP hiring cold email agencies.

Save $50,000/year with this custom GPT 5.4

I just fed it 100M+ cold emails… 

Trained it on every winning pattern, objection handler, and meeting-booking sequence that actually works.

Last time I made a post about it over 1,000 people wanted it.

And over 300 people are still using it on a weekly basis.

And I'm giving it away for FREE ↓

What it does:
1. Scores prospects on 15-20 signals before outreach
2. Writes personalized copy based on intent data
3. A/B tests 3-4 variations per segment automatically
4. Optimizes every email for deliverability
5. Takes under 45 seconds per prospect
6. Trained on $100M+ in revenue-generating emails
7. Analyzes 100K+ qualified leads patterns
8. Replicates 10K+ meeting-booking sequences
9. Uses every A/B test winner from past 5 years
10. Eliminates generic templates completely
11. Replaces expensive SDRs who quit in 3 months
12. Builds your email infrastructure

Comment "GPT"

And I'll send you access.

NEVER write a cold email from scratch again.

The new GPT 5.4 just made that entire process obsolete.

I spent the last 3 days testing GPT 5.4 exclusively for cold email.

Every sequence type. Every industry. Every ICP.

Here is what I found.

The difference between a 1% reply rate and an 15% reply rate is never the template.

It is always the thinking behind the first line.

GPT 5.4 thinks about the prospect before it writes a single word.

- Their role.
- Their pain.
- Their recent activity.
- Their industry dynamics.
- Their exact language.

Then it writes an opening so specific it feels handwritten.

At scale.

Here is the full Cold Email Engine:

→ Prospect research and pain point identification before copy begins
→ Opening lines built on real signal not first name and company name
→ Full sequence logic with natural threading across every follow up
→ Subject lines tested for deliverability and curiosity before sending
→ Five copy variations per email for automatic inbox rotation
→ Spam trigger detection and removal built into every output

Results from campaigns running this:

→ 15%+ reply rates consistently across niches
→ 50+ positive replies generated in week one
→ Writing time collapsed from four hours to 12 minutes
→ Pipeline that compounds instead of requiring constant rebuilding

And now you can have access to it as well.

Want access to the Cold Email GPT 5.4?

1. Connect with me
2. Comment "EMAIL"

I will send it straight to your DMs.

FORGET your spam problem.

I'm convinced the slowest way to fix deliverability is by:

- Tweaking subject lines endlessly 
- Removing links and images 
- Shortening email copy to avoid triggers

These waste TONS of time and don't fix the real issue.

So what's the fastest way to stop landing in spam?

Easy! Switch infrastructure.

And my client's results prove it.

They used to land 40% of emails in spam on Google Workspace.

Until they switched to private infrastructure…

And hit 98% inbox placement with zero spam issues.

So, to help you fix deliverability, I found a private infrastructure system that gets emails into inboxes, not spam folders.

(Even if you have zero tech skills & suck at DNS.)

Why?

Because I get tons of "our emails are landing in spam" messages every single day.

And I want to help more people fix this without wasting time on copy tweaks that don't matter.

I've helped dozens of agencies eliminate spam placement using this exact infrastructure.

What you get with private infrastructure:

- 10-minute automated setup (no tech skills needed)
- Real inbox placement tracking (not fake "delivered" metrics)
- Zero spam issues at any volume (proven at 67M emails/month)
- $1.20/inbox instead of $7.20 (83% cost savings)
- Dedicated IPs (not shared with spammers)
- DNS, SPF, DKIM, DMARC automation

Stop optimizing emails that land in spam.

Fix the foundation first.

Want access?

Comment "MAIL" 

And I'll send you the details.

Our biggest client sends 67,000,000 cold emails per month.

His secret?

The same infrastructure 99% of agencies have never heard of.

$1.20 per inbox instead of $7.20.

While everyone else is dealing with:

- Emails rotting in spam folders
- Google Workspace accounts banned at scale
- Domains dying every 6-8 weeks
- 3+ week warmup periods that kill momentum
- Deliverability metrics that lie to your face

He's sending 10,000+ emails per day.

Clean. Delivered. Converting.

This isn't a tool.

It's not a hack.

It's a private infrastructure provider that the top 1% of cold email operators use quietly.

And almost nobody talks about it publicly.

The old way:
Buy Google Workspace → Get Banned → Rebuild → Repeat → Lose Money

The new way:
Private Infrastructure → Scale Freely → Stay Delivered → Close Deals

67 million emails per month.

One provider making it possible.

Want access?

Comment "MAIL" below and I'll send you the details.

PS - If we're not connected send me a connection request with the note "MAIL" and I'll get it straight to you.

I'm offering cold email inboxes for $1.5.

(83% cheaper than Google Workspace)

Because I have built our own private email servers with:

→ Automated 10-min setup (no tech skills needed) 
→ Unmatched deliverability rates 
→ Zero flagged accounts 
→ Ability to send 100K emails monthly

The best part? It's just $1.50 per inbox compared to Google's $7.20.

I've seen their client results: 

• One agency scaled to 800K monthly emails 
• A sales team booking 50+ calls/month 
• Recruitment firm 40X'd their outreach

All without a single banned account.

Want access to this private provider?

1. Connect with me
2. Comment "PROVIDER"

I'll share the details with you privately.

taplio

The Battle

Christian Oland

Tomer Levi

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taplio

The Battle

Christian Oland

Tomer Levi

Followers

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Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Christian Oland's LinkedIn Performance

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