Founder | B2B GTM | Scale without headcount by mapping your playbooks into an AI revenue engine

Be honest - how many Linkedin posts have you seen this year saying that XYZ tech/playbook/widget is absolutely essential to your GTM this year?

Probably a lot

We now have thousands of sales and marketing technologies on the market

And all of them are pitching their solution as best in class

With playbooks, agencies, influencers to sell them

And yes, we have preferred tech vendors

Here's the difference

We don't throw you in canned playbook, we actually look at your Go to Market model before making recommendations

Let me tell you a funny story

I talked with an SDR team that was booking 80 meetings a month with parallel dialers and 10k emails per SDR per month

But 60% of their meetings got disqualified

Why?

They didn't qualify target accounts before doing outreach

Tech and playbooks don't save you deploy the wrong one at the wrong time

So what do we do different?

When you work with us, we start with an assessment

We look at your funnel metrics, your best customers, your messaging/copy, and get input from your team on detailed attributes that make up a great customer

That you CAN'T find in an off the shelf tool

After that we use our knowledge of best practices and tooling to identify the biggest opportunities to unlock more revenue per headcount in your team

This could look like

> Customer analysis
> Serviceable Addressable Market Mapping (because TAM is where you lose deals not win them)
> Target Account Lists
> Automated Contact Prospecting & Enrichment
> Pipeline Validation (we build out a script, test it to book meetings for you, help you take the meetings through completed discovery with next steps, then give you a completed call framework, email sequence, and discovery framework)
> Outbound Sales Team Coaching (Phone first)
> Sales Process Optimization
> Managed Cold Emails & Cold Calling
> Inbound Lead Flow Optimization
> AI Business Case Building (which we used to open a $300k+ opp at UPS)
> Implementation of Nooks, Clay, Evergrowth, and other sales tooling

Yes, we do that under one roof

Yes, it was very hard to find a team good enough to do all of this in one place

If you want to learn more, book a time here: https://calendly.com/b2bcatalyst/your-gtm-system-audit-linkedin
> Cold Email Infrastructure

Scott Martinis

I analyze your outbound data before telling you what’s broken | CEO, B2B Catalyst

I've spent 8 years building outbound systems for B2B companies. Teams of just the founder to 50 SDRs.

Over the years I realized success isn't nearly as random as it looks. 

There's a specific hierarchy of constraints, and if you don't solve them in the right order, your outbound fails.

The problem is that methodology usually takes months of manual consulting work.

Recently I compressed it with AI.

I fed 21 sales call transcripts, 585 cold call records, every script, deck, and playbook a company had into the system.

It found a two-layer messaging problem nobody had diagnosed.

Wrong product frame combined with wrong awareness level. 

That alone explained why cold calls weren't converting.

They had 6 script iterations that accumulated over months of gut-feel revision. None of them were working. 

The system identified which proof points were actually landing on calls, and zeroed in on a new approach built from their own data.

It took an evening.

I'm publishing the full methodology next week, prompt templates, benchmarks included. Free.

But first, I want to run it for 3 more companies. For free.

What I need: your last 30 days of email sends and replies, cold call recordings, and discovery calls. That's it. 15-20 minutes of exports.

Signal enrichments on your companies and contacts are nice to have, but not needed.

What you get back: a constraint map, messaging diagnostic, rep coaching briefs, and talk tracks revision suggestions. In days.

DM me "sprint" if you want in. I'm taking 3.

Founder @ StackOptimise | Certified Clay Expert | Building supercharged sales-tech systems and posting about them daily

We are a team of elite GTM Engineers leveraging, Clay, workflow automations, sales triggers, AI personalisation, inbox rotation, LinkedIn rotation, waterfall enrichment, intent data and more, to help sales teams build best-in-class sales-tech systems that supercharge growth.

→ 1.5m emails sent / month
→ 3,000+ positive replies generated / month

→ $1.5m in revenue and $6.5m in pipeline generated for BePro Development
→ $180k in revenue and $1.2m in pipeline for Orange Line in 60 days
→ $550k+ in LTV and $2m in pipeline for Passionfruit

Want to work with us?
- B2B business?
- TAM greater than 50,000?

Lets chat: https://calendly.com/felixfrank/meeting-w-felix

Felix Frank ⚙️

These 22 prompts have generated over $30M in pipeline for our clients in 2025.

They’re the exact prompts we use inside Clay to build campaigns that generate >1800 positive replies every month.

Here are 3 of my personal favourites:

- Case study extraction prompt
- Inferring buyer intent from job postings prompt
- Pain point identification prompt

Want access to all 22?

👍 Like this post
💬 Comment “prompt” below

(Must be following to receive).

Founder @StackOptimise | Certified Clay and Smartlead expert | Building supercharged sales-tech systems and posting about them daily

We were super early adopters of Clay. A tool which is now mainstream and should underpin every GTM tech stack.

Having used the platform solidly for the last 2 years, we've put together a guide to get you started.

In it we cover: 

→ What is Clay? 
→ Top 26 Clay Table Tutorials 
→ Top 40 Personalisations to Enrich Your Copy 
→ How to Learn Clay 
→ Top Clay Creators to Follow 
→ Why AI is the Superpower in Clay 
→ The Prompting Framework 
→ Power Features to Add to Your Prompts 
→ The Core Prompts

Quick bit of context on why we put this together:

We've grown StackOptimise ⚙️ from 0 to $2.5M in 24 months, basically all off the back of Clay powered outbound systems.

We currently manage 30+ clients. And we have published 15 case studies - more than any other Clay agency on the planet.

And this is what we actually use every day.

To get your hands on this:

👍 Like this post
💬 Comment “CLAY” below

(Must be following to receive)

StackOptimise ⚙️ is hiring our first Account Executive (Closer).

All meetings booked for you.

Fully remote.

Proven offer with real demand.

Commission-heavy with uncapped earnings and $10k+/month OTE for top performers.

First sales hire for one of the fastest growing GTM agencies on the planet.

If you’re a serious closer and want to focus purely on selling (not prospecting), this is for you.

Bonus points if you have experience with modern GTM systems and tools like Clay, Smartlead and Instantly.

Apply here → https://tally.so/r/5BxLJN

Halfway through February and we’re already 3x-ing our own cold email volume - our primary acquisition channel at StackOptimise ⚙️.

In November, we sent ~100k emails.

February is our first full sending month since the Christmas break.

We’ll send just under 300k this month.

And the goal is to double that again in March.

Here’s what the first 2 weeks of February look like:
→ 96.5k emails sent
→ 29.3k prospects contacted
→ 1 positive reply for every 207 leads contacted

These are pure cold campaigns.

No intent signals, no website visitors, no trigger events.

Just cold lists built on job title + region.

And this is where most people get it wrong.

They're looking for that silver bullet intent signal that they think tells them when a prospect is ready to buy. 

It almost never exists.

But on top of that, it's not scalable.

If your offer only works with a tiny, signal-based segment… you don’t have a cold email engine.

We deliberately test messages against the coldest possible audience.

Usually just job title.

If it works there, it works everywhere.

That’s how you unlock:
→ Real scale
→ Predictability
→ Volume without complexity

Of all the acquisition channels we're currently leveraging (LinkedIn organic, YouTube, referrals, paid ads, partner networks), nothing beats cold email for scalability and ROI.

Tech stack powering this:
→ Zapmail.ai inboxes
→ AI Ark data
→ Clay for enrichment
→ Smartlead for sending

And massive credit to the Stimuli team for building the dashboard in the screenshot that lets us see all this clearly. If you need something similar, go talk to Sergi.

Scaling GTM teams isn’t just about adding headcount.

We've built enough GTM systems at StackOptimise ⚙️ to know, the constraint is rarely talent. 

It's how much cognitive load you're asking humans to carry.

I've been diving into FlashLabs lately.

Their SuperAgent concept is interesting, it represents a distinct shift in how we think about GTM engineering.

They are making agentic AI work like a digital team.

Instead of waiting for prompts, these agents run workflows end-to-end:

→ Outbound sequences and enrichment
→ Deal follow-ups and forecasting
→ Pipeline analysis and territory planning
→ Creative assets (decks, landing pages, ads)

It acts as an orchestration layer over your CRM and SEP, unifying the scattered tools we normally juggle.

For GTM and RevOps folks, the architecture here is interesting.

If you’re aiming to link intelligence with revenue, this is worth a look.

See it in action: https://lnkd.in/gbfVBwu7

If I was head of sales for a SaaS start up,

Here’s the only 2 growth hires I’d make :

1.  GTM Engineer 
→ Owns data, signals, infra, and automation 
→ Running high volume email + LinkedIn campaigns
 
2. Elite SDR  
→ Lives on the phone 90%+ of the day 
→ Just dials high-intent prospects all day long

Now, the question is 👇

How do you make these 2 roles work together and get the planned output?

The GTME (AKA the builder): 

→ Maps your full TAM using AI Ark, Sales Nav, DiscoLike 
→ Tracks buying signals across RB2B, Leadfeeder, LoneScale 
→ Sets up email + LinkedIn infra that can hit 100k+ prospects monthly 
→ Launches AI-powered campaigns via Claude + Smartlead and GetSales.io  
→ Enriches data through Prospeo.io, LeadMagic, BounceBan

The SDR (AKA the closer): 

→ Gets auto-fed positive replies from email + LinkedIn 
→ Receives pre-qualified prospects with mobile numbers 
→ Dials 250+ high-intent prospects daily 
→ Spends zero time on list building or admin

Now, the feedback loop that makes it scale: 

→ No replies? New campaigns are spun up daily until a winner is found
→ Bad numbers? Leads auto-re-enriched with fresh data 
→ GTME keeps feeding new signals, new campaigns, new lists 
→ SDR refines cold call pitch with Gong intelligence 

Stop hiring bloated sales teams.

Bet on just 2 killers instead.

Builder. Closer.

Infra + Execution.

Want help building something similar for your business? Drop me a DM.

A major bottleneck in scaling from $30k to $100k/month isn't sales skills.

It's data ops.

Specifically: exporting, deduping, and enriching lists fast enough to keep our GTMEs busy.

Here's what was killing us (and might be killing you):

1. Export reliability and speed - Pulling lists from Apollo has become increasingly challenging and time consuming.

2. Data decay - 30% of contacts are outdated. We paid thousands for data with people who left their jobs 3 months ago.

4. Re-export waste - We kept paying for the same contacts across different searches. No way to track "net new" vs. already contacted.

5. Re-validating all emails - We had to run all emails through third party email validation tools in Clay to exclude invalid emails.

When you're running outbound for 30+ clients, these hours compound fast.

So we switched to AI Ark - here’s why:

1. You don’t need to re-validate lists in Clay. We had a near 100% validation accuracy rate when we tested it through our waterfall. The data is extremely good.

2. The tool tracks every contact you've ever exported. Automatically. So when you run a new search, you can filter to show ONLY people you've never touched before.

3. You can pre-configure exactly which columns you want in your CSV. First name, last name, company, title, LinkedIn URL, email, phone.

4. Paste 10,000 company domains or LinkedIn URLs directly into the search. Apollo have cut this to 1000.

There are more crazy good features I don't want to spoil for you.

But let me tell you this - it has been one of the best tool upgrades we’ve made in a long time.

If you're scaling outbound and data ops is a bottleneck, check it out.

Elias (the founder) will be happy to help you in any way he can.

No alternative text description for this image

I’ve been sending cold emails since 2017.

And I’ve watched outbound evolve in real time.

Here’s how it’s changed and what hasn’t 👇


Wiser (2017–2018)
My first job out of uni - Business Development at a recruitment agency.
Zero tools or automation.
I’d manually:
→ Search job boards for companies hiring
→ Find the decision-maker on LinkedIn
→ Guess their email
→ Send a 1:1 cold email manually
Each one took 15–30 minutes to send and I'd probably get 1-2 interested replies per week. 
Painful to say the least!

Confluent (2018–2021)
Worked as an SDR & AE.
Tools started entering the picture.
→ Used LeadIQ to scrape from Sales Nav
→ Synced leads to Outreach
→ Automated follow-ups to 400-500 new contacts/week
→ All from primary domain.
Reply rates were solid but Confluent's brand recognition helped.
Was able to hit my SDR targets with basically just email.

StreamNative (2021–2023)
First UK sales hire.
More tools, more volume but diminishing returns.
→ Used Cognism for data
→ HubSpot sequences to reach 800–1000 leads/week
→ All still from primary.
Reply rates dropped off noticeably. StreamNative didn't have the brand advantage of Confluent while prospect inboxes started getting more cluttered. 

StackOptimise ⚙️ (2023–Now)
Running outbound for 25+ B2B companies.
→ Sending 1.5M+ emails/month
→ Generating 3,000+ positive replies/month
→ Leveraging Clay, Smartlead, Zapmail
→ AI helps us write deeply personalised emails at scale.
Quality + quantity is no longer mutually exclusive

The trend during this time is clear:
→ More output
→ Higher quality
→ Less manual effort

We went from:
 Manually writing every email...
 to
 Automating basic templates...
 to
 Sending thousands of AI-personalised messages on autopilot.

But here’s what hasn’t changed (and never will).
You can have the best tools, the best data, and the smartest AI...
But you still won’t get replies without:
👉 A relevant message
👉 A strong offer
👉 A clear reason to reply

Outbound will keep evolving, but the fundamentals stay the same.

Quora just replied to one of our cold emails.

And then some say cold email is dead.

Sure. And so is… 

Billboards
Direct mail
Cold calling

Except when they work.

All credits go to Nayab. Keep slaying queen.

Quora joins our hall of fame: Airbnb, Apple, Amazon, BNP Paribas, Calendly, Disney, Google, Indeed, Klaviyo, LinkedIn... and about 50 others we've collected for clients over the past year.

We love getting these replies. 
Not because of the logo (though that's nice).
But because it's proof that when you do this right, you can reach anyone.

Plus, this is exactly what our clients want.

They want their product in front of decision-makers.

And cold email is the way to get that done.

Well-researched. Personalized. Well-timed.

If you're trying to get in front of companies like these, let's talk. We've done it dozens of times, and we can help you do that.

-----------

Apply here: https://lnkd.in/gepihr4c

You can build an entire business off the back of cold email.

We did.

→ $0 to $2.5M in 24 months
→ 30+ clients 
→ 2M+ emails sent per month

90% outbound. 10% inbound

Here's why we went all in on this channel 👇

→ It's predictable 
Send X emails, get Y replies, book Z meetings. 
The maths just works once you find message-market fit.

→ You control the volume 
Want to go from 10 meetings a month to 50? Just send more emails. 
No algorithms. No ad spend. 

→ You don't need a brand 
Nobody had heard of StackOptimise. 
Still cold email worked - we just had to be sharper with the copy.

→ It's fast 
SEO and content can take months. 
Cold email? You can close clients in a week..

→ It keeps getting better 
In 2017, I was writing emails one by one manually. 
Now we've got AI writing personalised copy at scale. 
Same effort, 100x the output.

But cold email isn't for everyone.

If your TAM is tiny or your offer is weak, it'll just expose that faster.

But if you've got a decent market and something people actually want - it's probably the fastest way to build pipeline.

What channel has worked best for you?

StackOptimise ⚙️ 
—------
If you want to see the full system we run for 30+ clients, book a call here: https://lnkd.in/eMNMUnYy

More positive replies ≠ more revenue.

Let me explain.

At StackOptimise, cold email is our #1 growth channel.

This month we’ll send nearly 300,000 emails for our own campaigns. 

Next month, over 700,000.

We target two ICPs:
1. Founders/CEOs
2. Sales leaders

Every month we get hundreds of positive replies from both groups.

But when Georgi dug into the data, we found something surprising:

👉 Despite 30% more positive replies from sales leaders…
👉 90% of our closed-won deals came from founder campaigns.

Why?

Sales leaders often show interest on calls, but then say:
“I’ll run this past the founder.”
And the deal dies.

Here’s what we think is happening:
- Sales leaders fear being blamed if the campaign flops
- They don’t have final buying authority
- Founders are more decisive and outcome-driven

So we pivoted and we’re doubling down on the founder ICP.

Big lesson:
Don’t just track replies.
Don’t just track positive replies.
Track conversions. That’s where the truth lives.

When you're running cold email at scale (200k+ leads/month), calling everyone isn't economical. 

Finding mobile numbers + hiring enough SDRs to dial between emails is way too expensive.

That said, cold calling is still highly effective.

But at this volume, we needed a smarter approach. Here's how:

Step 1: We prioritise only positive replies from our preferred sequencer for cold calling. At this scale, we’re talking thousands of positive replies monthly. 

Step 2: Push leads into Lusha to find mobile numbers (best mobile data on the market). Lead record is enriched with verified phone number and key intent signals for SDR to reference.

Step 3: Enriched leads automatically route to our Hubspot dialer. SDRs receive a queue of warm prospects who've already expressed interest.

SDRs now spend zero time cold calling. 

Every conversation is with someone who replied positively to an email. 

Positive reply to booked meeting conversion rates are 3-4x higher than when we dial.

We use Lusha for a lot more than just mobile numbers though.

They help track intent signals like job changes, funding rounds, and acquisitions in real time - so you're reaching out to the right person at the right moment.

That's basically the whole game in outbound.

Lusha are also running a pretty good promotion right now.

Generate a free API key and you're entered to win 100,000 Lusha credits - one winner every week, announced on their LinkedIn every Thursday.

Take Lusha for a spin and see how it works for ya’ll. Sign up here: https://lnkd.in/gRn_p2fK

#LushaPartner

HOW TO SCALE COLD EMAIL TO 200K+ LEADSMONTH

Another client closed their first deal just 7 days after launching campaigns. 

This time, Nolan delivered the goods 👏 


Our mission is simple: deliver the fastest route to ROI from outbound.

If you want this, book some time with me and let’s land you a sub-1-week client too.

📅 Link: https://lnkd.in/eMNMUnYy


StackOptimise ⚙️

Our brain can process 250+ WPM

But our fingers can only type ~50

3 hours of daily typing = 15 hours weekly = 60 hours monthly.

And tools like Wispr Flow are helping you save that time.

Wispr Flow is TOOL OF THE WEEK at StackOptimise ⚙️

It's not basic dictation tool. It's intelligent writing assistance.

Here's why you should be using it:

1. AI handles what normal voice tools can't: 
→ Auto-removes "ums," filler words, and awkward pauses 
→ Fixes grammar and punctuation in real-time 
→ Adjusts tone per app (casual for Slack, professional for email) 
→ Learns your industry jargon, company names, and technical terms

2. Voice commands that instantly work: 
→ "Make this bullet points" - instant formatting 
→ "Summarize this in 3 sentences" - AI restructures your thoughts 
→ "Add this to my snippet library" - saves repetitive text for voice shortcuts 
→ Works in 100+ languages with cross-device sync

3. Built for GTM teams: 
→ Dictate code comments directly into VS Code or Cursor 
→ Voice quick follow-ups after prospect calls 
→ Draft email sequences without touching your keyboard 
→ Update CRM notes while walking between meetings

4. The speed: 
→ Up to 220 WPM (5x faster than typing) 
→ Works across Mac, Windows, iPhone, Android 
→ Free plan gives you 2,000 words/week to test 
→ Pro plan at $10-12/month for unlimited use

If your team spends 3+ hours daily on written communication, this pays for itself in week one.

Less typing = more selling.

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The Battle

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Likes

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