Bill Stathopoulos

Founder

👋 I'm Bill, and here's my story:

1. Building SalesCaptain, an Outbound & AI GTM agency for B2B SaaS to $3M+ ARR, while being a digital nomad for 4 years.
2. Authored a book - "Cold Email Secrets"
3. Scaled a Growth Marketing Agency to $1M ARR at the age of 28. Grew the team from 7 to 25+ employees in 3 years. Closed clients like Nestle, Revolut, GE, and the Singapore Airport.
4. Helped multiple startups go from zero to $5M+ revenue in 18 months since 2015
5. Trained 2,500+ Growth Marketers in the last 5 years
6. Built the speakers lineup for Ad World, with 50k+ attendees and 100+ speakers, making it the largest advertising conference in the world
7. Interviewed Seth Godin, Scott Galloway, Arianna Huffington, Rory Sutherland, the CMO of Samsung, the CMO of Hubspot, and 30+ world-class Marketing executives.
8. Published the book “Cold Email Secrets”, the bible of modern Outbound & GTM. 
9. Named “Top Lead Generation Voice” on LinkedIn in 2024
10. Became the Clay Club Host in London, leading a team of 15+ GTM Engineers

What you'll get working with me:
🧲 Your Go-To-Market (aka GTM) Strategy
🏀 Optimize your Marketing channels; make the most of your budget
🏆 Build systems for User Acquisition, Activation, Retention, and Revenue

Peace, love & growth ✌️

Bill

Co-Founder

We build and scale Outbound Sales systems that include multi-channel prospecting, lead response, and our cutting-edge processes to help you build your business.

If I asked you right now:
Who owns pipeline end-to-end in your GTM motion?

If the answer isn’t crystal clear,
that’s a problem.

In many teams, GTM looks like this:

- Marketing runs inbound
- Sales runs outbound
- RevOps fills the gaps

Everyone cares about pipeline.
But nobody owns the full motion.

Does this work? No.

What actually works in 2026 (in practice)

After seeing hundreds of GTM motions up close, one pattern keeps winning:
Inbound, outbound, and signals treated as one system.
Not three separate plays.

Here’s how we make that work 👇

1️⃣ Outbound isn’t just top-of-funnel

Outbound should exist across the entire funnel:
Top: ICP-based awareness (relevant, not clever)
Middle: Signal-triggered follow-ups (timing > volume)
Bottom: Direct offers when buyers are already close

2️⃣ Inbound is not “wait and hope”

Inbound-led outbound means this:
Someone visits your site, attends a webinar, or signs up → you act, instead of letting the lead sit untouched.

Inbound creates interest.
Outbound creates momentum.

3️⃣ Signals don’t create pipeline, ownership does.

Signals only matter if someone is accountable for:
- who acts
- when they act
- and through which channel

No owner = dead signal.

4️⃣ Judge the system by pipeline, not activity

If your dashboards celebrate:
- emails sent
- sequences launched
- campaigns shipped
You’re measuring effort, not outcomes.

The only question that matters:
Is this system producing pipeline predictably?

Between SalesCaptain, HeyReach.io, and Zapmail.ai,
this exact system helped generate ~$25M in revenue.

This is exactly what we’re breaking down live in an upcoming GTM Roundtable, with operators from the 3 companies building these systems every day. I will be speaking with:

Ilija Stojkovski (CRO, HeyReach.io)
Kaustubh Wadhwa (Product & Growth, Zapmail.ai)
Bojana Petkovic (Ecosystem Lead, HeyReach.io)

This isn’t an inbound vs outbound debate.
It’s about how teams are using both to build one coherent revenue motion.

We're meeting live on Zoom, next Tuesday, Jan 27, at 19:00–20:00 EET.
Link to register: https://luma.com/udv8tm4q

If pipeline predictability matters to you this year,
this session will be worth your time.
(come with all your questions).

CEO, SalesCaptain | Clay London Club Lead 👑 | Top lemlist Partner 📬 | Investor | GTM Advisor for $10M+ B2B SaaS

No, your GTM engineer can’t fix your outbound.
Read this before you hire a GTME.

(This is part 1/5 GTM mistakes you shouldn’t carry with you into 2026.)

I was on a sales call this week with a founder who said:
"We hired a GTM Engineer 6 months ago… but our pipeline growth is minimal."
I asked: “What’s your team structure?”
She said: “I have a GTME.”
....

One of the most common GTM mistakes I see:
Founders hire a technical expert, 
and expect them to drive both pipeline and revenue.

It doesn’t work that way.

Here’s what actually works (and how we structure GTM at SalesCaptain):

You need these 3 roles
1️⃣ GTM Strategist: owns strategy (ICPs, messaging, cross-channel orchestration)
2️⃣ GTM Engineer: builds AI/data workflows, connects APIs, scales infra
3️⃣ Full-Stack AEs: convert pipeline, leverage infra, feed insights back

We learned this the hard way:
One person can’t own both strategy and execution.
This is too much switching between contexts, which leads to too many dropped balls.

So we tested different structures till we got it right.

→ We launched campaigns twice as fast
→ Our messaging started resonating better
→ It became easier to see what was actually driving revenue

We’ve helped clients implement the same structure, and the numbers keep proving it right.

So let me ask you this 👇 
How’s your GTM team structured?
How is it working for you?

From my conversation with Milan Savov, on Leaders of Growth podcast (I will add the link in the comments).

When it comes to GTM data, which pill are you taking? 💊

Every GTM team wants the same thing:
A growing pipeline that makes the best use out of your reps' time.

But there are two very different ways to get there.

1. 🟦 Blue Pill GTM:
Buy more lists → Get more leads.

In this path you:
- Buy a CSV from Apollo, ZoomInfo, Cognism,... take your pick.
- Filter by title
- Send 1,000 cold emails.
- Wait for someone to book.
- If replies drop… buy a bigger list.

This path feels productive (more rows, more potential.)
But practically, you get bloated CRMs, irrelevant messaging, and reps spending their time chasing leads.

2. 🟥 Red Pill GTM:
Build a signal-driven pipeline: ICP first → Signals second → Messaging last.

In this path, you:

- Define ICP beyond job titles (think tech stack, hiring motion, headcount trends).
- Layer real-time signals like funding, exec changes, tool adoption, website shifts.
- Enrich with context: How does this company make decisions? What’s likely top of mind this quarter?
- Write emails that answer: Why me? Why now?

When you do this, your first touch feels like a warm intro,
because it is the right message, to the right person, at the right moment.

I don’t know which pill you’ll choose.

What I know is the best GTM operators in 2026 are building living, breathing pipelines.
Ones that update daily, prioritize based on intent, and let you engage buyers before your competitors even realize they’re in-market.

The tools exist.
The data exists.
The process is teachable.
The only question is:

🟦 Keep buying lists?
🟥 Or build a modern GTM system that prioritizes relevance over volume?

#GTM #Outbound #SalesCaptain

GTM Engineering job postings went up 205% in 2025 vs 2024.
Why?

Because revenue teams have reached a breaking point.

They’re not short on tools, AI pilots, or headcount.
They’re short on people who own the system end to end.
That’s what GTM Engineers solve.

They build the infrastructure that makes revenue repeatable, in ways like:

* Turning messy signals into structured actions
* Making outbound workflows scalable across reps
* Connecting tools and data so AI can actually drive outcomes
* Designing systems where pipeline grows instead of resets

How do you know if your team needs a GTME? 🤔 

Here’s what it looks like when the GTM system has no clear owner:

- Each rep runs a different version of the playbook
- “Integrated” tools constantly break handoffs
- CRM updates happen manually (if at all)
- AI experiments never make it into live workflows
- Weekly pipeline reviews feel more like firefighting instead of optimization

If 2 or more of these sound familiar, you need a GTME.

And if you’re thinking,
"That sounds like the kind of impact I want to have..."

GTM Engineering is one of the few roles growing fast, even in a tough market.
This role sits at the center of AI, systems, and revenue.
And it will only become more and more foundational.

We put everything into the visual below:
The 2026 GTM Engineer Playbook
What the role is, what skills it needs, expected salary and how to prepare for it.

Save it.
Share it with someone who wants to grow into this role.
Tag them below, this could be their next move.👇

Not all GTM partnerships are built the same.
Many get announced, logos get swapped, and nothing changes in how pipeline is built.

The successful ones have one thing in common:
Both sides are building real GTM, not just pitching it.

We’ve worked with lemlist for years, since the early partner program.
What made it work was a shared worldview: 
Outbound isn’t a sales play anymore.
It’s part of the GTM infrastructure, just like your CRM or analytics stack.

Then last year I sat down with Charles Tenot, CEO of lemlist (now a $35M ARR company). 
We shared a deep alignment on where outbound is breaking, and how real operators are rebuilding it.
You can feel that when a team runs their own GTM at the same pressure and pace their customers do.

The note and small award we received recently were a byproduct of that kind of partnership, one where feedback loops, shared pain, and long-term bets matter more than metrics.

Big thanks to Julia Guenier, and the whole lemlist team for operating with that mindset.

Excited for what's coming!
Let’s keep building 🔥

Do you ever stop and ask "Why do people actually buy from us?"
That's the key to finding the best signals.
 
Instead, I get these questions a lot 👇 
"Is hiring a good signal?"
"What intent data should we buy?"
"Which tool has the best triggers?"

Wrong questions.
 
The real insight doesn't come from external signals. It comes from your own closing history.
 
So, before you add another tool, do this:

→ Pull your last 10–20 closed deals and ask one question:
What changed inside the company before they bought?
 
For example, at SalesCaptain, we analyzed our closed deals over the past 4 years.
The pattern that kept appearing: companies who changed their CRO in the last 6 months.
(Within 1–6 months of a CRO change, that's when they're ready to rebuild GTM infrastructure.)
 
What we see across mature GTM teams:

- New CRO/CMO hired → mandate to "fix pipeline"
- Ownership of revenue changes hands
- Shift from founder-led sales to systems
- Pressure to scale without hiring more reps
 
These moments create forced action.
And forced action beats generic "interest" every single time.
 
Here's something GTM teams need to remember:
Signals are hypotheses, not truths.
 
A signal only becomes valuable when you:
1️⃣ Tie it back to why people actually buy from you
2️⃣ Test it across months, not days
3️⃣ See it repeat consistently, not once
 
This is why signal-led GTM isn't about finding the signal.
It's about building a system that:

-> Tests signals continuously
-> Scores them against real revenue outcomes
-> Routes action based on impact, not noise
 
This is how pipeline becomes predictable.
 
This is from the amazing conversation I had yesterday with Ilija Stojkovski (CRO, HeyReach.io) Kaustubh Wadhwa (Product & Growth, Zapmail.ai) and Bojana Petkovic (Ecosystem Lead, HeyReach.io).
 
Here's the link to the full webinar: ﻿https://lnkd.in/dyTbkVyT

P.S. if you want the slides I shared in the webinar, DM me.

What if you treated outbound like a marketing channel?

That’s how we run it at SalesCaptain.
And for GTM teams with a finite TAM, it’s literally a cheat code.

Here’s how you can operationalize it:

✅ Quarterly touchpoints

If your ICP is 5,000 companies, your goal isn't just to "get replies", it’s to stay top-of-mind.
We run outbound like marketing campaigns: built around themes, refreshed quarterly, and optimized for relevance.

Orchestrated with: Clay, and delivered via lemlist and HeyReach.io.

What you can track:
- % of accounts touched this quarter
- Re-engagement from dormant accounts
- Reply trends by persona/topic

✅ Email signals are real-time intent

Opens, clicks, site visits... these are all triggers.
If someone engages, you need to follow up fast.
Sub-60 second replies consistently lead to 2-3X more meetings booked.

Tools: Instantly.ai, Midbound, Clay, n8n, plus Lemlist and Heyreach for outreach.

What you can track:
- Speed-to-lead (How fast you respond after a lead shows intent)
- Signal-to-meeting conversion (% of intent signals that actually turn into booked meetings)
- Channel effectiveness

✅ Outbound needs distribution of insight

We’re not here to “check in.”
Our highest-performing messages offer something useful like frameworks, benchmarks, or patterns the buyer hasn’t seen before.

Research & Personalization via: Claygent, Twain and/or Octave.

What you can track:
- Response rate to insight-led messages
- “This was helpful” kind of replies

Video below from my conversation with Stefan Conic 🙌

Outbound trying to be smart -> Stupid.
Outbound trying to be relevant -> Smart.

Part 2/5 of mistakes you can’t afford in 2026

Your outbound messages fail because you're trying to impress.
Instead of trying to help.
When in reality, winning campaigns are useful, not clever!

Here are some examples of useful messages:

- Lead magnets that are genuinely valuable 
- Insights specific to the buyer’s market, role, or stack 
- Strong offers (often free implementation or teardown) 
- FOMO through hyper-relevance “We’re already working with your top 2 competitors” 

But none of that works if your data’s trash.
You can’t fake context, nor can’t prompt your way to get trust.

When the data’s real, the message writes itself.
Short, relevant, to the point.
And that’s what wins.

Why US companies are winning the GTM execution race, 
and everyone else is playing catch-up

Over the past couple of years, while working with GTM teams across the US and Europe, I kept noticing the same pattern:

Same conferences.
Same tools.
Same markets.
But very different questions.

US teams asked:
“How do we optimize our 30+ Clay workflows?”

Most European teams asked:
“How do we get more leads?”

Clay calls this GTM Alpha; the velocity at which a company can execute go-to-market.
And GTM Alpha is quietly splitting B2B into two camps.

Here’s where people get confused:
→ US leads global AI investment with $109.1B, nearly 12× China and 24× the UK.
→ 95% of businesses globally already use or plan to adopt AI by 2025.

On paper, it seems like everyone’s on equal footing, but they’re not.

Europe often reports higher AI usage:
→ 13.5% of EU enterprises in 2024 vs. ~8.7% of US firms in 2025.

So why is the US still pulling ahead?

Because adoption is not depth!

It’s not whether companies use AI, but how deeply it’s embedded in their GTM system.

-> In the US, organizational AI adoption is ~82%, with 99% of Fortune 500 already onboard.

Most teams start the same way:
AI for writing emails and summarizing calls.

The best teams go further. 
They run GTM with AI:
– Data enrichment
– Intent-based segmentation
– Multi-channel orchestration
– Real-time routing to reps
(Same tools, different outcomes.)

So how do you catch up? ⚠️ 

Start with the foundation.
You don’t need 30 workflows. Just the right ones, in the right order.

Phase 1️⃣: Clean your data
CRM enrichment
Lead routing
Basic scoring
(Most teams skip this, and fail later.)

Phase 2️⃣: Broad ICP outreach
List building from LinkedIn, Google Maps, etc.
AI-powered personalization
Email + LinkedIn sequencing

Phase 3️⃣: Add intent signals
Job changes
Hiring spikes
Competitor followers
Event attendees

Phase 4️⃣: Activate inbound
Visitor ID
Form enrichment
LinkedIn engagement
Pricing page workflows

Phase 5️⃣: Build your ABM stack
Account tracking
Committee mapping
Tool change detection
Expansion workflows

Here's something you need to keep in mind:
-> Despite 78% of orgs using AI in some function,
70–85% of AI projects still fail.

Why?
Because teams jump to Phase 5, without fixing Phase 1.

AI-led GTM drives:
– 3× more site visits
– ~50% larger deals
– 30% faster launches and ~25% workflow gains

Some teams are still debating tools.
Others are optimizing conversion by segment, time-to-MQL, and cost per account.

Stop asking:
“How do we get more leads?”
Start asking:
“How do we orchestrate GTM?”

Thoughts? 👇

You tracked the signal.
You did what you were supposed to do.

Website visit.
Job change.
Engagement spike.
...
So you reached out.
And nothing happened.
No reply, no pipeline!
 
This is where most GTM teams get confused.
Because the problem isn’t that you missed the signal.
It’s that the signal didn’t answer the most important question:

👉 Why now?
 
Your GTM team already has the signals:
Website visits, job changes, social engagement, product usage, and hiring signals.
 
The issue isn’t lack of data.
It’s that signals don’t tell a story on their own.

- A website visit doesn’t mean interest.
- A job change doesn’t mean intent.
- Engagement doesn’t mean readiness.

On their own, these are contextless events.
And what usually happens next is predictable:

- Signals get pushed into Slack.
- Logged in the CRM.
- Tagged inside GTM tools.
But no one defines:
1. what changes because the signal happened
2. who should act
3. how the message should adapt
4. or when not to act at all
So teams react instead of orchestrate.

What the best GTM systems do differently is simple (but not easy):

1️⃣ They combine signals, they don’t chase them
One signal rarely means anything.
Multiple signals, across time, start to explain intent.

2️⃣ They score accounts, not activities
Fit × Engagement × Potential Value.
Not “someone clicked,” but “this account is worth time now.”

3️⃣ They design actions before automation
Signals are inputs, not instructions.
The action depends on where the account actually is.

4️⃣ They protect human effort
Sales and marketing only engage when the system says timing is right.

Everything else gets deprioritized automatically.
That’s when outreach stops feeling random.
and pipeline flows.

I’ll be breaking this down live with Erwan Gauthier VP of Growth at lemlist, including how the team at Lemlist are building signal-led GTM motions going into 2026.

Link to register: https://luma.com/zn8wfvy6

This session will change how you think about signals.

Your next 50 best customers will look a lot like your last 5.
 
We had a client burning $5K/month on cold outbound trying to "expand TAM."
1% reply rate, zero pipeline, team demoralized.
 
I asked them one question: 
"Who are your 10 favorite customers? The ones who get it, move fast, and actually implement?"
 
They sent me the list, we spent 2 days analyzing them.
Then we killed every other campaign they were running.
 
What we did instead:
- Pulled their best 15 customers from Salesforce
- Imported them into Clay
- Used Ocean.io to find 200 companies with the same industry, size, tech stack, and buying triggers
- Built automated outreach mentioning the customers they mirror via lemlist
- Let it run
 
The results:
- 15% reply rate (vs. 1% before)
- $400K pipeline in 90 days
- 4 deals closed in the first 90 days

Same team, same budget.
 
So what changed?
When you target lookalikes, you have an advantage:
- You already know the exact problem they have
- You already know what messaging lands
- You already have proof in their language
- You already know who makes the buying decision
- You already know how long the sales cycle is
 
The mistake most teams make is that they chase "new markets" way too early.

They see their core ICP starting to saturate (or think they do) and immediately pivot to adjacent segments, new verticals, or "enterprise" just because the board asked about it.

Meanwhile, there are 50+ companies exactly like your best customers who haven't heard from you yet.
 
The fastest pipeline growth comes from doubling down on what already works.
 
Here's the exact workflow we run:
Step 1: Export your best 10-15 customers (the ones you'd clone if you could)
Step 2: Import them into Clay
Step 3: Use Ocean.io, Apollo, or Findymail to find lookalikes based on:
Industry
Company size
Tech stack
Growth signals
Location (if relevant)
Step 4: Enrich with decision-makers using Clay's waterfall (Datagma → Apollo → Findymail)
Step 5: Build sequences in lemlist/HeyReach.io mentioning the customer they mirror:
"We recently helped [similar company] in [their industry] solve [specific problem]. Saw you're in a similar space and thought this might be relevant."
Step 6: Let it run, measure, and scale what converts
 
Average result: 3x more pipeline in 60 days, targeting companies they already know how to close.

If you haven't exhausted your core ICP, don't go chasing new markets.
 
If you know your top 10 accounts and want help applying this playbook, DM and I will be happy to help you.

We scraped Google Maps photos of 2,000 bakeries
and used AI to detect bread-making machines 🥖 
Sounds insane, right?
 
But this is exactly the kind of custom signal that’s replacing generic intent data in 2026.
 
Everyone’s buying the same intent data.
Which means everyone’s reaching out to the same prospects,
at the same time,
with the same “personalized” message.
 
Which means you are always standing in the same line with your competition.
 
Here’s what changed our entire GTM approach at SalesCaptain:

We stopped relying on off-the-shelf signals.
and started building our own.
 
Not:
– Hiring intent from ZoomInfo
– Funding announcements from Crunchbase
– Sales Navigator filters everyone else is using
 
Instead, we built signals only we had access to.

Here are some real-life examples from our client work:
 
1. Wellness and self-care software company 💇‍♀️ 

- Scraped Google Maps + websites for salons/spas
- Detected multiple locations or recent expansions
- Identified operators outgrowing spreadsheets/manual tools
- Triggered outreach during operational scaling

Result: 400+ positive replies in 5 months

2. Cybersecurity company 🥷 

– Monitored public breach reports in real time
– Identified relevant security teams
– Reached out while the problem was active

Result: $200K+ ACV meetings in a single quarter

3. Recruitment platform 💼

– Scraped job listings across multiple sources
– Identified companies actively hiring
– Matched HR decision-makers to real demand

Result: 710+ demo calls in 10 months

These aren’t signals you can buy from a vendor.
They’re competitive advantages built from:

– Custom data sources
– AI enrichment of unstructured data
– Community, ecosystem, and event signals

The pattern I see across every high-performing GTM team:
They don’t ask,
“Which intent tool should we buy?”
They ask,
“What data would give us an unfair advantage competitors can’t access?”

Then they build it!

If you want to design custom signals for your market and orchestrate them across sales, marketing, and ops, you know where to find me. 😎

Clay just unlocked super-multichannel with ads.

Not just email + LinkedIn.
The same audience can now be targeted across email, LinkedIn, and ads (LinkedIn, Meta, Google) in a unified way.

Why you should care:

1️⃣  One audience, one system, not separate targeting logic per channel
2️⃣ Prospects see you programmatically across channels, not randomly
3️⃣ You can increase spend and message frequency as signals increase
4️⃣ Website visits, product views, demo signups → more spend
5️⃣ ICP-fit accounts with weaker signals → lighter spend
6️⃣ Outreach and ads are sequenced based on warmth

Instead of managing multiple audiences across multiple platforms,
you control exposure, intensity, and timing from one place.

The warmer the prospect, the more they see you.
The colder the prospect, the less you spend.

This is huge 🔥

ADS IN CLAY. The most exciting new feature of everything Clay has been working on in my opinion is Ads.

We are seeing customers get ~much~ higher match rates than they have today against their audiences on LinkedIn, Meta and Google which is a massive win for performance marketing teams.

Ads platforms as a new export destination in Clay also enables very interesting campaigns. For example now you can:

1. Setup website intent in Clay to deanonymize web traffic
2. Search in Find People for your ICP contacts
3 Enrich them to find their hashed advertising IDs using our ads ID waterfall
4. Create audiences in Ads to run ABM campaigns
5. Convert them deeper into the funnel where you can message them via the various messaging tools in Clay

This is in open beta today for enterprise customers and we are looking for lots of feedback from performance marketers to make this best in class. 

DM me or comment for more.

Founders ask me all the time:
“Which channel should we double down on?”
 
SEO?
Google Ads?
LinkedIn Ads?
Social?
Cold Email?
 
After working with 60+ B2B teams at SalesCaptain, here’s the reality:
👉 Most channels work.
👉 Not all channels work for your stage, deal size, and urgency.
 
So instead of opinions, let’s benchmark 👇
Cost • Targeting Precision • Scalability • ROI • Time to Results
 
📬 Cold Email / Outbound
• Very low cost (tools + time)
• Extremely precise targeting
• Highly scalable
• Very high ROI when done right
• Fast results (1–2 weeks, if you have warmed up inboxes)
 
💰 Google Ads (Search)
• High CPCs
• Great for bottom-funnel intent
• Moderate scalability
• Fast if demand already exists
 
📈 SEO / Content
• High upfront investment
• Long-term scalability
• Massive ROI over time
• Slow to impact (3–6+ months)
 
🎯 LinkedIn Ads
• Surgical B2B targeting
• Expensive
• Moderate scalability
• Strong for awareness + nurture
 
🎥 Social Ads (Meta / TikTok)
• Scalable
• Interest-based targeting
• Better for DTC than niche B2B
 
🤝 Referrals / Partnerships
• Highest conversion rates
• Hard to scale
• Not predictable on their own
 
Cold Outreach wins when:
✅ You know your ICP
✅ Your offer is clear
✅ You want speed and control
✅ You’re building a repeatable engine, not betting on algorithms
 
📊 Save this. Share it with your Marketing Lead.
 
Use it to decide where your next $$$ actually goes.
 
And if you want help designing an Outbound system
that scales without burning cash,
you know where to find me.
 
#coldemail #outbound #b2bsales #gtm #demandgeneration #saasgrowth #revenuegrowth

Closed-lost isn’t a graveyard,
It’s a dataset.

Most teams lose a deal and move on.
We do the opposite:

We turn every closed-lost deal into a future meeting… using the exact reason they said “no”.

Here’s the 8-step workflow we built (we used this with a fintech client last week, and reactivated 3 deals in 8 days).

1) Pull closed-lost from HubSpot
Deal name, close date, close-lost reason, notes, decision maker.

2) Pull the actual buyer context from Gong
First + last call transcript.
Not “AI personalization”… the real objections, timelines, and blockers.

3) Enrich with real signals
Funding, acquisitions, new hires, restructuring, product launches.

4) Generate a reactivation recommendation
Why they said no
What changed
When to re-engage
What angle will land now
What to avoid

5) Turn that into a short email (4-part structure)
Intro → original blocker → why now (signal) → 15-min CTA.

The point is to send the one email that makes the buyer think:
“Yeah… this is actually relevant now.”

Imagine if you’re sitting on 200+ closed-lost deals, how much pipeline you could be generating with this workflow.
If you want a workflow like this built for your team, you know where to find me. 😉

Founder at Allbound OS | Scale Revenue with AI GTM Workflows & Sales Tools

Hey, I am Can.

For brand partnerships on Linkedin: can@allbound-os.com

I help B2B companies and Founders:

☑ Get outbound leads on autopilot.
☑ Build GTM workflows that increase your pipeline.
☑ Help you get warm leads through Linkedin content.
☑ Build AI outbound workflows that scale your revenue.
☑ Choose the right sales tech stack without breaking the bank.

Without hiring expensive 5+ SDRs.

If you are:

- Founder
- SDR
- BDR
- Account executive
- Sales leader
- Growth marketer

What I can do for you:

1. Build outbound system

↳ Sales tech stack/tools
↳ Email infrastructure
↳ Build lead list
↳ Offer
↳ Lead magnet
↳ Sales copy
↳ Automate prospecting
↳ Leverage AI to maximize outbound success

2. Build inbound system

↳ Create Linkedin contents that match your ICP
↳ Setup newsletter and email marketing system

That's why I call it "Allbound OS".

And yes, you are in the right place.

Want to learn how I can scale your business using AI & GTM workflows?

→ Feel free to DM me or send me an email: can@allbound-os.com

Can Timağur

I've learned that the best tools solve problems without the premium price tag.

Back when I first knew Prospeo.io at V1, they were focused on one thing:

Making sure emails were legit.

Now? They've built a database with 300 million contacts.

150 million of those are verified emails and mobile numbers.

What stands out to me:

- Clay integration and all the connections you'd expect
- A fifth of the price compared to other providers
- Every filter you need to build a niche list
- Fresh data refreshed every 7 days

I'm not someone who shares every tool that comes across my desk.

But I've known this team for a long time, and I've seen the work they've put in.

The leap from V1 to this new database is massive.

They're not just adding features for the sake of it.

They're solving real problems with quality data that doesn't break the bank.

I've watched sales teams burn through lists by hitting companies that aren't thinking about this problem right now.

Here's what I've learned: timing isn't luck. It's signal.

That's why I'm obsessed with tools like Prospeo that spot real signals:

→ New job postings
→ Department headcount growing
→ Fresh funding or tech stack changes

Start watching for signals that matter, and connect when companies are actually ready to listen.

If you're building lists and need reliable contact data, this is worth checking out.

Building Revenue Systems and Scaling GTM Engines | Founder at Allbound OS | Send Me a DM to Get a “Free Revenue Leak Audit” For Your Business

Old outbound:

Pick one channel and hope it works.
Send a Linkedin message and wait.
Send an email and pray for a reply.
Move on when they ghost you.

New outbound:

Use HeyReach.io and Smartlead together.

No reply to your Linkedin DM?

Add them to Smartlead with one click.

The native integration finds their email and starts your sequence automatically.

Still waiting on that email response?

Send them to HeyReach and reach out on Linkedin.
Invite pending for 5+ days? Switch to email.
Email sequence ended with no reply? Try Linkedin.
Want multiple touchpoints? Run both channels at once.

The integration takes 30 seconds to set up.

One lead. Two channels. Zero manual work.

People ignore emails but check Linkedin. Or they miss your DM but open every email.

Stop relying on one channel. Start using both.

Give it a crack. You'll never go back.

Heyreach Integration

Prospecting has become one of the most fragmented parts of the sales workflow.

You research a lead in one tool.

Enrich the data in another.

Build lists somewhere else.

Then jump back into your inbox or CRM to actually do the work.

With Lusha’s MCP Server, that entire process can live inside your AI workflow.
Your AI tools can now access real-time, verified people and company data -  so enrichment, intent signals, and personalized outreach happen naturally as part of how you think and work.

From a single prompt, you can:

- Enrich prospects and companies

- Identify accounts showing intent

- Draft personalized emails based on accurate data

No switching tabs. No copy-pasting. No manual list building.

Setup takes about 5 minutes. After that, every AI conversation can double as a prospecting session — powered by access to 280M+ verified contacts with 95%+ accuracy.

The goal is simple: make prospecting so seamless it fades into the background, letting you focus on conversations that actually move deals forward.

See it in action: https://lnkd.in/d43-P52F

What part of prospecting still feels the most time-consuming for you?#Lushapartner

Brand partnership • Building Revenue Systems and Scaling GTM Engines | Founder at Allbound OS | Send Me a DM to Get a “Free Revenue Leak Audit” For Your Business

I watched cold email campaigns tank in 48 hours.

Not because the copy was bad or the list was wrong.

The entire IP got blacklisted and nobody knew for 3 days.

Here are the 5 deliverability changes that separated inbox from spam this year:

Warm-up ratios became non-negotiable. The old approach of warming up to 30 then scaling back is dead. 

Now running a 1:1 ratio is key. Sending 30 cold emails means keeping 30 warm-up emails active. ISPs demand constant positive engagement.

Blacklist monitoring went from reactive to proactive.

Daily automated scans replaced the panic of discovering a 3-day blacklist after your campaign already tanked.

IP tracking expanded beyond domains. I now monitor both my domain IP and SMTP server IP. Your real reputation lives with your mailbox provider.

I use Mailivery.io for this.

Infrastructure diversification became survival. 

Spreading mailboxes across multiple providers means one blacklist or algorithm change won't collapse everything.

Microsoft scoring shifted to individual mailboxes.

A clean domain means nothing if that specific mailbox has issues.

ISPs got smarter. Spam complaints carry more weight. Single points of failure kill campaigns.

2026 will reward the teams adapting now.

A few months ago, I had 10,000 email addresses sitting in a spreadsheet.

The problem: I had no idea who these people actually were.

That's why I use Reverse Email Lookup at Icypeas.

Here's what it does:

Takes your email lists and enriches them with LinkedIn profiles at scale.

High accuracy. Extreme speed.

Here are 4 ways I'm seeing teams use it:

1. Identify who signs up to your SaaS.

Connect with them on LinkedIn and send a personalized welcome DM to start real conversations.

2. Spot high-value customers early.

Find your most valuable users and offer them preferential treatment before they churn.

3. Understand your newsletter subscribers.

Know who's actually reading your content and tailor it accordingly.

4. Complete your CRM automatically.

Fill in missing fields and keep your data clean, enriched, and actionable.

You can integrate it directly into your workflows via our API.

That's it.

Turn anonymous emails into real people you can actually engage with.

Most AI note takers are intrusive.

They need calendar access, join as visible bots, and make everyone uncomfortable.

Bluedot - AI Meeting Assistant is different.

It works quietly in the background.

No meeting bots showing up uninvited.

No awkward "who's recording this?" moments.

Just clean capture of your meetings with instant AI summaries and action items ready when you need them.

Here's what I appreciate most:

You control everything.

Want video and audio? Done.

Prefer audio-only? No problem.

Just need transcripts? You got it.

This flexibility matters.

Not every meeting needs the same level of documentation, and privacy concerns are real.

I've seen too many tools force one approach on everyone.

Bluedot gives you options instead of obligations.

The result?

You get the benefits of AI meeting assistance without the friction, without the privacy concerns, and without disrupting your workflow.

If you're tired of clunky note-taking tools that complicate more than they help,
This is worth checking out.

You can see how it works: https://www.bluedothq.com/

After testing 200+ campaigns, I realized email providers aren't the same.

They're not.

I've tested SMTP and Google extensively across hundreds of campaigns.

Sometimes SMTP crushes it with replies.
Sometimes Google takes the win.

It depends on your offer, your copy, and your audience.

But here's what matters:

You now have access to official Google Workspace mailboxes directly inside Maildoso.

Not sketchy EDU accounts.
Not resold junk.

These are business-licensed Google Workspace accounts with US IPs.

The pricing?

Starting at $2.5 per mailbox.

That's the lowest price on the market.

And if you bundle them with SMTP accounts, the price drops to just $1.9.

Crazy.

So here's my take:

Stop limiting yourself to one email provider.
Test both. Find what works for your campaigns.

And now you can do it all in one place, at a price that actually makes sense.

That's how you scale outbound the right way.

Want to test Google vs SMTP yourself? Check out Maildoso's new workspace accounts (link in comments).

Most founders waste hours hunting for lookalike companies manually.

I just found a Chrome extension that does it in one click.

Here's what it does:

Visit any company website and click the extension.

Instant lookalikes appear based on semantic search.

The same tech Extruct AI use for deep company research.

Filter results by firmographics to find your exact ICP.

See critical data points:

- Employee headcount
- Social media profiles
- Key business info
- Company location

Your time is better spent closing deals.

The extension is completely free.

Install it here: https://lnkd.in/ebgbWQBn

PS- I don't manually find similar companies; just sharing this because I've seen a few companies doing it. I use Discolike and Company Enrich to automatically find lookalikes. Hope you find this useful.

Something frustrating is happening in GTM:

Teams are burning thousands on ZoomInfo and Apollo…

…only to get fake leads, data limits, and incomplete results.

I've watched countless GTM professionals patch together 3-4 different tools just to build one decent account list.

The workflow is broken.

You're dealing with outdated data, technical headaches, and still missing half the information you need.

This is why I'm excited about DiscoLike.

It's a global business domain directory with a custom LLM trained on 60 million business websites.

What does this mean for you?

→ Natural language search that actually understands your ICP 
→ Precise account matching without complex automations 
→ Built-in phrase matching and customizable data columns 
→ Superior tech stack targeting in one platform

No more combining data from multiple sources.

No more paying for tools that cover 20% of your use cases.

DiscoLike handles what used to require an entire stack of legacy tools.

The GTM professionals using it aren't going back.

They're finally getting the data quality they've been paying for all along.

I really like tech stack, SaaS and ecom targeting with DiscoLike.

I used to drown in replies from 5 different outreach tools.

Switching between platforms. Missing hot leads.

Losing track of conversations.

Then I built something different.

A centralized master inbox that pulls everything into one place.

- All in separate workspaces
- Multiple client accounts
- LinkedIn messages
- Email replies

I now manage many clients without any chaos thanks to Masterinbox.com.

Each gets their own workspace with custom access controls.

Team members only see what they need to see.

Want your sales team viewing positive replies only?

Done.

Need certain conversations routed to a client's preferred mailbox?

Easy.

The best part?

No more context switching between tools.
No more missed opportunities because a reply sat unread in the wrong platform.

Just clean, organized conversations that actually move deals forward.

If you're running outreach at scale and still juggling multiple inboxes,
You're wasting time you can't get back.

Centralize it. Control it. Close more deals.

Most AI tools make you work harder than they should.

Here's what separates copilots from autonomous agents:

Traditional tools suggest next steps.
SuperAgent decides what action to take.

Traditional tools generate drafts.
SuperAgent runs complete GTM workflows.

Traditional tools require constant prompts.
SuperAgent operates via triggers and playbooks.

Traditional tools react after demand becomes obvious.
SuperAgent listens before demand forms.

Traditional tools support individual tasks.
SuperAgent orchestrates systems end-to-end.

Traditional AI tools assist you with tasks.
FlashLabs SuperAgent executes them on your behalf.

The difference?

One acts as a copilot for your team.

The other becomes your autonomous digital workforce.

I've watched companies struggle with AI that demands more attention than it saves.

SuperAgent changes that equation entirely.

It doesn't wait for instructions. It executes based on conditions you define once.

So stop babysitting your AI tools.

Let them work independently while you focus on strategy and growth.

Have you experienced the shift from assisted to autonomous?

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Bill Stathopoulos

Can Timağur

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The Battle

Bill Stathopoulos

Can Timağur

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