Revenue Ramp

On a mission to change discovery from a stage to a predictable process 🏆

✅ Fix the skill gaps causing your sales reps miss quota. Say goodbye to losing deals, excessive discounts, and inflated pipelines.

✅ Enable your reps to spot red flags in their open pipeline and self-correct before deals stall.

✅ Get access to sales frameworks you can apply instantly, no matter which stage the deal is in.

You're one business case away from buyers choosing you. Uncover the insights you need to build a strong one!

Founder & CEO

As a full-cycle Account Executive turned Sales Manager I’m sharing actionable advice to get your deals unstuck.

Follow & Subscribe to take your sales game to the next level!

📹 Youtube: https://www.youtube.com/@viktorfromsales

Content Creator and Sales Coach

Techstars

Mentor

Pavilion

A community of Revenue professionals within the world’s fastest-growing SaaS organizations who have deep expertise within sales, marketing, customer success, revenue operations, and finance.

Use my link and become a member today! 👇🏻

Member

VisualLabs

Expand your operations without rising service costs.

We help B2B companies take control of field work with clever system design and Agentic AI.

Microsoft Solutions Partner for Dynamics 365 and Power Platform

Head of Sales and Marketing (Fractional)

Advisor

Bitrise

- Responsible for growing, developing, coaching, and enabling the EMEA Account Executive team

- Scaled the EMEA AE team from 2 to 9 reps

- Restructured the new AE onboarding process to cut onboarding time from 6 down to 4 weeks while increasing AE aptitude

EMEA Sales Manager

- First sales rep at Bitrise, now a 40+ person sales team (Series A to C)

- Actively participated in multiple GTM projects including but not limited to:
   - introducing premium support (scope and pricing)
   - launching a new enterprise plan with a completely new pricing model
   - breaking down silos across the GTM team

- History of consistent target attainment across net new and expansion sales
   - 2019: 123.6%
   - 2020: 103.6%
   - 2021: 135.6%

- Primary industries sold to: Finance&Banking, Retail, Mobility, and Travel

- Sales methodology used: MEDDPICC, Command of the Message, SPICED

Enterprise Account Executive

PROVICE

-Responsible for direct sales of APM solutions for large accounts in the service industry (new sales, upselling and cross-selling)
-Account relationship management for the sake of maintaining high customer satisfaction
-Developing the image of a trusted advisor through daily social media marketing activities
-Close collaboration with the marketing team to enforce the sales and marketing strategy

Dynatrace Account Manager

Gostech Kft.

-Stabilised the revenue flow of the company within 6 months
-Exceeded margin growth plans by 30% after 12 months
-Currently diversifying the product and market portfolio
-Advising the sales and marketing strategy development process
-Responsible for advanced software and machine vision sales
-Conducting project-based budget planning
-End-to-end project management
-Carrying out regular market research
-Taking part in supplier negotiations
-Preparing monthly sales forecasts

Senior Sales Engineer

Keyence

Senior Sales Engineer - Vision and Measurement

-Seeking out prospects according to sales strategy
-Complex problem solving throughout multiple industries within production automation
-Regularly showing complex solutions in the form of product demonstrations
-Taking part in trade shows
-Coaching new starters so they can improve faster
-Compiling price quotations depending on the needs and means of the customer
-Managing multiple projects simultaneously
-Programming and integrating sold solutions
-Providing sufficient training based on customer requirements
-Staying a reliable point in the customers' lives when they are in need of after sales support

Sales Engineer - Vision and Measurement

GE Healthcare

My main responsibilities were making quarterly reports in excel, supporting sales staff in siebel and handling various administrative tasks within the domains of logistics.

Sales Support Intern

Steal my sales frameworks for free (link in bio) | B2B Sales Consultant 👨🏼‍💻 | ex-Bitrise (YC W17) from 3M to 22M | Sales programs for landing your first customers and closing enterprise deals predictably 💪🏻

🇭🇺 ENTJ-A from Budapest, Hungary.
🇬🇧 Used to live in the UK. You wouldn't be able to tell I'm not a native speaker.
🇩🇪 I can hold a decent conversation in German. Help me practice and I'll owe you eine Flasche Bier. 🍻
🇩🇰 Graduated in Denmark as well. 🎓 Great country and the flag is a big plus!

🌍 You'll find me doing outdoorsy stuff with friends in my spare time or cooking. I'm a foodie so will try anything local. 🍽️🏄🏂

💼 On a mission to change discovery from a stage to a predictable process 🏆

🔍 Highlights:

I’ve helped Bitrise scale from $3M to $22M ARR:

1️⃣ starting as their Founding Sales Rep closing deals worth less than 3k USD to begin with

2️⃣ proving that we can close 40k+ deals too in my first 3 months, and

3️⃣ landing deals up to 400k as an Enterprise Account Executive.

4️⃣ In my last year at Bitrise I was promoted to lead the EMEA Account Executive team. Ended up growing them from 2 to 9 sales reps during my tenure.

In this time I’ve seen the Sales team grow from 1 to 50+ people and the GTM team scale from less than 5 to 100+ people.

💡 Bitrise wasn’t the first company I’ve had success at either.

Prior to joining:

1️⃣ I was among the top 10% of Sellers at Keyence, one of the largest Private companies globally with a world-class Sales team, and

2️⃣ stabilised the revenue flow of a new Value Added Reseller within 6 months as their Founding Sales Rep.

💡 What now?

🏆 I still love training and mentoring Sales reps and wanted a way to do that without having to deal with corporate politics. So I started my own Sales Consultancy.

If you made it this far, why not try my frameworks? If you like what you see, let's talk about how we can train your team to crush their quota on repeat!

Viktor Hatfaludi

Scale revenue with AI & tech

I decided to skip the traditional corporate path & start building in the AI x Sales space at 27. 
Here's the journey so far:

Age 18-21: Business school in Brussels, realized I needed practical experience
Age 22: Coding bootcamp + lucky Bitcoin exit gave me 50K to fund a world trip
Age 23: 12-country world tour learning new skills every month in a new country.
Age 24-26: Growth hacker roles at German startups, learned systems but felt unfulfilled 
Age 27: Co-founded ColdIQ with Mich
Age 28: Hit our first major milestones learning everything the hard way 
Age 29: Scaled to $6M ARR and became Clay's #1 global partner. Running a business that does $477K/month with 30+ team members across 4 continents.

It's been wild. Today through ColdIQ, we help B2B companies build AI-powered sales systems that work. 

We've run outbound for 300+ organizations and generated millions in pipeline.

The best part? We built this entirely remote with people I genuinely enjoy working with. 

Turns out you can have rapid growth AND life quality - you just need the right systems.

If you want to build your own AI sales agency, I teach everything in our ColdIQ Agency Accelerator, the exact playbook we used to hit $6M ARR in 2 years. 

From Clay workflows to hiring A-players to scaling without burning out.

If you're already doing $1M+ ARR and want help scaling your existing business, let's talk about our done-for-you services.

https://coldiq.com/

If you're not there yet, I share everything for free on LinkedIn and in our 7-day email course (in the featured section).

The AI x Sales opportunity is the biggest wealth creation event of our generation. The market is so massive that there's room for everyone to win.

Ready to start your agency? Join 130+ founders in our accelerator.

https://coldiq.com/accelerator-program

Alex Vacca 🧠🛠️

We analyzed 100K+ LinkedIn DMs to figure out what works.

Here's what we found:

1️⃣ Personalization beats volume every time

Campaigns with copy tailored to the ICP got up to 54.7% more replies.

We stopped blasting generic messages and started personalizing based on specific pain points.

We're using Clay for data enrichment and personalization, LinkedIn Sales Navigator for precise targeting.

Next month target: Scale personalization without losing quality. Why? Take some time to personalize your messages; it'll go a long way.

2️⃣ Short messages crush long ones

Messages under 150 characters had 22% more replies on average. We track which message length converts from each persona.

We aim to get our point across in as few words as possible - nobody's reading novels.

Next month plan: Test extra short hooks under 100 characters.

3️⃣ Contextual outreach destroys generic

Messages referencing recent activity (LinkedIn posts, role changes) saw +18% replies. We find relevant reasons to reach out every time.

Tool stack breakdown:

Clay for finding recent activity, role changes, company updates

LinkedIn Sales Navigator for activity monitoring

Expandi for sequencing

Zapier for workflow automation

Next month: Keep refining context triggers - when something works, you optimize it.

4️⃣ Warm approach sequences that build relationships

Connection requests sent after profile visits, post likes, or follows saw +30.2% acceptance rates. We make ourselves seen before reaching out.

Sequences with 3+ steps performed 42% better than single-message flows.

Different relationship temperatures get different approaches.

5️⃣ Multi-channel orchestration across every platform

Adding email follow-up after no LinkedIn reply lifted reply rates by 13.8%. We don't rely on LinkedIn only.

This is where most agencies lose pipeline - we track everyone who doesn't respond and re-engage via other channels.

6️⃣ Conversational copy beats direct pitches

The messages that actually work:

"Noticed you're hiring [role] - what's working for you?" (+18.2% replies)

"Saw your post on [topic], curious what are you testing right now?" (+19.3% replies)

"Saw you joined [company] - how's the first month going so far?" (+21.5% replies)

"We analyzed [findings] - worth sharing what others in your space are doing?" (+27.1% replies)

The results:

54.7% higher reply rates with personalized outreach

40%+ acceptance rates consistently

18%+ reply rates across campaigns

8%+ positive reply rates

The system works because it's not just LinkedIn messaging - it's relationship building at scale with contextual touchpoints where your prospects actually engage.

Want the full outbound playbook that's generated 54.7% higher reply rates? 👉 Comment "OUTBOUND" for our 7-day email series on the exact sequences we use.

Co-Founder @ ColdIQ ($6M ARR) | Helped 300+ companies scale revenue with AI & Tech | #1 AI Sales Agency

I turned 30 earlier this month.

I had no idea what I was doing for most of my twenties.

Moved countries. Started stuff that failed. Said yes to random things just to see what would happen.

Probably looked lost from the outside.

But here's what I think now:

Focusing too early is a trap.

I see people at 22 trying to "find their thing" and lock in fast. Pick the career. Pick the country.

But how do you know what to focus on if you haven't tried enough things yet?

You don't.

So you end up focused on the wrong thing. And you don't even know it.

That's worse than being "lost" for a few years.

Some people skip the messy phase. They lock in early. Look successful at 25. Then wake up at 30 wondering why they're not happy.

They focused, but not on the right things.

I needed those years of trying random things. Not because they all worked. Most didn't. But because now I actually know what I want.

I know which friendships matter. Not trying to keep up with 50 people anymore.

I know where I want to live. Done being the eternal nomad.

I know what we're building with ColdIQ. Done chasing every shiny opportunity.

We tested a lot in 2025. New offers. New markets. Some worked. Some didn't.

But now the picture is clear. We go into 2026 knowing exactly what to double down on.

You can't focus on the right thing until you've explored enough to know what the right thing is.

To the next decade 🥂

lemlist hit $37M ARR.

Here’s the outbound engine behind it (and why it works so well)↓

Most people think lemlist grew by sending better cold emails.

They didn’t.

They built a system that turns content → intent → enriched data → personalised outreach at scale.

Here’s the exact workflow:

1️⃣ Content that attracts their ICP (not vanity content)

An influencer or internal creator publishes on LinkedIn - but not just any content.

It’s written to attract one specific persona with a problem lemlist solves.

Every comment, like, and share = a signal.
A signal that someone cares about the topic.

They use:

- Jungler to scrape all post interactions
- LinkedIn for content publishing

Because people are already familiar with their brand, reply rates are way higher than pure cold outreach.

2️⃣ Data routing & enrichment

Not every engager is worth contacting.
So they have a system to score, clean, and enrich.

They push all extracted contacts through:

- n8n for data routing
- Clay as the data hub (enrichment, scoring, workflow automation - all in one place)

Scoring includes:

→ Job title relevance
→ Engagement type
→ ICP match
→ Buying power indicators
→ Existing customer check
→ Tech stack + initiatives + recent activity

Here’s the thing nobody talks about:

If the enrichment is bad, the personalization fails.
If the personalization fails, the whole system collapses.

This is where lemlist invested the most time - and where most teams cut corners.

3️⃣ AI personalization & multi-channel outreach

Personalization isn’t “{first_name}, loved your post!”

They use:

lemlist’s AI variables → genuine first-lines for every prospect
Multi-channel sequences → email + LinkedIn for maximum reach

A typical opener:

“Hey {{first_name}}, saw you engaged with our post on {topic}. Looks like you’re focusing on {initiative} — happy to share what’s worked for us.”

Warm context + real personalization + multi-channel = consistent replies.

Teams spend hours “perfecting” cold emails.
lemlist spends hours perfecting context - and lets AI scale the rest.

4️⃣ Meeting booked

Warm, relevant outreach performs.

This is one of the most efficient ways to:

→ Warm up leads
→ Segment the highest quality ones
→ Gently ping them with context at exactly the right time

This is one of lemlist's highest performing outbound plays. It's also a play we love to run at ColdIQ.

They've spent months testing and optimizing this workflow to run on autopilot.

The compound effect takes time, but when it kicks in, it's massive.

If you want to implement something like this - we'll literally run this entire workflow for you, along with other high-converting GTM plays.

Drop me a DM👇

We just crossed $6,000,000 ARR.

Here's the tech stack that made it happen ↓

1️⃣ Content & Inbound

We generate over 100 warm leads per month via LinkedIn.

These come from my account (45,600+ followers) and the rest of the ColdIQ team (230,000+ followers).

I use:

- Scripe for post ideas + analytics
- Notion as my content calendar to keep me organised

We generated ~50M impressions on X last month, which is honestly wild. And for this we use:

- Typefully to visualize & draft threads: makes the whole process way smoother

I am getting some momentum behind my YouTube, so at the moment I use:

- Two Sony FX30 camera for filming
- Tella for screen & audio recording (super clean output)
- vidIQ to gain inspiration from successful videos, basically reverse engineering what works

We drove 102,000 visitors to our website in the last 90 days. 35,000+ come from SEO alone. We use:

- Ahrefs for keyword research (can't live without it)
- Webflow's CMS to host/publish our articles
- Surfer to optimize our copywriting for search engines

We have 7,000+ subscribers to our newsletter, and growing. We use:

- beehiiv to send our welcome sequence & weekly emails

2️⃣ Outbound Engine

- We identify website visitors with Instantly.ai & Vector 👻
- Based on their firmographics + page visit, we:

→ Email them via Instantly.ai

→ or connect + send voice notes via lemlist

- more personal touch

- For data: Prospeo.io, LeadMagic, Clay, FullEnrich
- For AI research & personalization: ChatGPT, Claude
- For deliverability: a mix of Gmail + Outlook inboxes

3️⃣ Ops & Project Management

- Everything runs in Airtable
- We automate with n8n, Make or Relevance AI, depending on what we're trying to do
- Big-picture process flows? We map those in @Puzzle
- Internal comms → Slack

4️⃣ Sales & Closing

- Calls get booked through Default
- We use Attention to record & summarize meetings
- Proposals: Qwilr (clean, professional, gets signed)
- Banking: Mercury
- Contracts: PandaDoc
- Payments: Stripe

We've spent months testing, tweaking, and optimizing this entire stack to work together seamlessly.

Tech moves fast. Really fast.

New tools drop every week, and what worked 6 months ago might not be the best option today.

I break down the complete stack + how we actually use these tools on my YouTube.

Subscribe here → https://lnkd.in/dKsZpY2D

What tools are you running? Drop them below 👇

Behind Lemlist’s $30M ARR growth engine.

... and 20,000 paying users.

Michel Lieben 🧠 sat down with Charles Tenot, CEO of Lemlist, to go behind the scenes of their growth strategy.

Let me build this out properly for you. Here's the full breakdown:

1️⃣ TRAFFIC GENERATION

lemlist gets over 200,000 website visitors every month. But they don't rely solely on one channel.

Here are the channels they use to drive that traffic:

a. SEO: 15–20% of signups come from search
→ They dominate keywords like "cold email templates" and "email outreach tools"
→ 300+ blog posts targeting bottom-funnel search intent

b. YouTube: 14.2K subscribers, and 393 videos
→ Educational content on cold email, outbound sales
→ Tutorial videos showing actual lemlist workflows

c. LinkedIn: Combined reach of 250K+ followers
→ Team members consistently post about outbound strategies
→ Share customer wins and case studies weekly

d. Paid Ads: €20K/month to Meta, Google, and LinkedIn
→ Google: Target high-intent keywords like "mailchimp alternatives"
→ Meta: Retargeting website visitors with social proof content
→ LinkedIn: ABM campaigns targeting sales leaders at 50-500 employee
companies

e. Webinars: Expert-led sessions on outbound and sales
→ Weekly live sessions with 200-500 attendees
→ Guest speakers from successful B2B companies
→ Replay content distributed across all channels

f. Affiliates: Partners and customers earn a % for referrals
→ Agency partner program with 30% recurring commissions
→ Strategic partnerships with complementary SaaS tools
→ Customer referral program with account credits

2️⃣ LEAD CAPTURE

lemlist turns traffic into signups, fast.

They convert 7–8% of 200K+ monthly visitors (that's 14,000-16,000 signups monthly).

Here's what increases those conversion rates:

Free trial strategy:

→ No credit card required
→ Full access to the platform
→ 14-day trial with onboarding sequence
→ In-app tutorials and success metrics tracking

3️⃣ ACTIVATION & ONBOARDING

This is where most SaaS companies lose people, but lemlist nailed it:

→ Day 1: Welcome email + calendar booking for optional onboarding call
→ Day 3: "Send your first campaign" tutorial with templates
→ Day 7: Case study of similar company + advanced features demo
→ Day 10: Personal video from Guillaume + upgrade incentive
→ Day 14: Trial ending soon + success metrics from their usage

4️⃣ CONVERSION TO PAID

Here's where the "reverse trial" magic happens:

→ Soft paywall: Free users hit email limits naturally through usage
→ Value demonstration: Show ROI metrics before asking for payment
→ Multiple upgrade paths: Self-serve pricing page OR book sales call
→ Usage-based triggers: "You've sent 95/100 free emails this month"

The numbers:

→ 200K monthly visitors
→ 95%+ monthly retention rate
→ €150 average monthly deal size
→ 7-8% conversion to trial (14K-16K trials/month)
→ 15-20% trial-to-paid conversion (2.1K-3.2K new customers/month)

What do you think lemlist should add to grow even faster?

Content helped ColdIQ hit $6M ARR.

And this workflow turns every single post into pipeline.

We built a system that converts LinkedIn engagement into qualified meetings.

Here's the breakdown we use at ColdIQ:

STEP 1: CAPTURE ENGAGEMENT IN REAL-TIME

Every like, comment, and profile view gets tracked automatically.

When someone likes OR comments on your post they're basically telling you they actually care about what you're talking about.

We use Trigify.io and Teamfluence™ to monitor all LinkedIn engagement signals.

Most people get that engagement and then just move on to the next post - we actually do something with it.R

STEP 2: INSTANT ENRICHMENT

The moment someone engages, Clay pulls full contact and company data.

Job title, company size, tech stack, funding rounds, hiring signals - all of it happens in seconds.

STEP 3: AI QUALIFICATION

Not everyone who likes your post is actually a good fit prospect.

We use ChatGPT and Claude to score each contact against our ICP criteria.

- Low fit? Filtered out immediately
- High fit? They move to the next step

The AI looks at things like:

- B2B vs B2C
- Geographic fit
- Company size match
- Estimated customer lifetime value

STEP 4: CRM DEDUPLICATION

Before we do anything, we check: is this person already in our system?

Already a customer? Already in active conversations? Skip them completely.

New contact? Push to sequence.

The fastest way to look like an idiot is cold emailing your existing customers.

STEP 5: MULTI-SOURCE EMAIL VERIFICATION

We waterfall through Prospeo.io, FullEnrich, and LeadMagic until we get a verified email.

No single provider has 100% coverage.

But stack three of them together? You're getting close to 95% hit rate.

STEP 6: PERSONALIZED OUTREACH ON AUTOPILOT

Each prospect receives a tailored message via Instantly.ai that references the exact post they engaged with.

Not generic "Hey {firstName}" nonsense.

It's contextual: "Saw you engaged with my post about Clay workflows - we just built something similar for a client in your space that books them 2-3 meetings per week."

STEP 7: MEETING BOOKED

This system generated 144 meetings for us in a single month.

And it runs 24/7 without human intervention because:

- Every piece of content becomes a lead magnet
- Every engagement becomes a qualified opportunity
- The entire conversion happens automatically

If you're posting on LinkedIn without this system you're basically just creating content and hoping meetings happen (which they won't).

That's not how it works in 2025.

The companies winning are the ones that built actual systems to convert attention into pipeline.

Are you tracking your LinkedIn engagement right now?

(We can build this entire workflow for you, plus show you the other plays that got us to $6M ARR)

P.S: Tools don't book meetings. Systems do. And this is the system that's working right now.

OpenAI just sent us this award for passing 10 billion tokens.

Here is what I learnt: being too smart is slowing you down.

The smartest people I know are the slowest to start.

- They read about AI.
- They follow the news.
- They watch the tutorials.

But they don't build anything.

Their logic:

"Why learn this if it's outdated in 6 months?"
"Why build this if a new model does it better?"
"Why start now if everything keeps changing?"

Sounds smart.

But it's actually not.

Here's what actually happens when you use AI every day:

- You learn how it really works.
- You find what it's good at and what it sucks at.
- You build intuition you can't get from reading.

Yeah, some stuff we built 2 years ago is completely outdated and we constantly need to replace old workflows we built.

That's the price to pay but despite that we still learned more than the people who waited and never built anything. 

When a new model drops, we figure out what we can do with it.

Because we already understand the fundamentals.

The people still waiting?

Starting from zero and probably will tell themselves that they will start when GPT 8 will release.

The world moves fast.

You can watch it move.
Or move with it.

10 billion tokens later, I'm glad we moved.

Stop waiting for things to stabilize because they won't.

Just start building.

Everyone else is also just figuring it out.

4 GTM agents that save 2-5 hours per client every day.

They run:

Prospecting, content
AND market research on autopilot.

Most teams think AI is about writing faster. It's not.

It's about eliminating the 80% of GTM work that never should've been manual in the first place.

Here's the system:

AGENT 1: LEAD RESEARCH AUTOMATION

Manual prospecting is dead.

Every company profile gets captured, enriched, and scored automatically.

Pipeline:

- GhostGenius captures profiles
- We filter by credibility signals (200+ followers, real website, actual activity)
- GPT scores each profile against our ICP (in real time)
- LinkedIn IDs dedupe contacts so we never hit the same prospect twice

Clean, qualified prospects → straight into Google Sheets for outbound.

AGENT 2: LOCAL PROSPECTING ENGINE

Apify pulls local businesses from Google Maps.
Raw Google Maps data is a mess. Half the info is missing or outdated.

The fix:

- Google Search API fills missing metadata
- We scrape each website for keywords, offers, tech stack
- GPT classifies and enriches the business profile
- We extract missing emails, numbers, contact pages

Export to Airtable or Sheets → done

This turns low-quality data into sales-ready records.

AGENT 3: BRAND CONTENT GENERATOR

Drop a brand brief into a Google Form. Wake up to:

- LinkedIn posts
- Carousel copy
- Newsletters
- Hooks
- CTAs
- Variations
- TOV matched drafts

All written in your style, using your positioning.

Drafts go straight into Notion or Google Docs, ready for a 10 minute edit.

AGENT 4: REDDIT INTEL COLLECTOR

This one is my unfair advantage.

Most GTM teams ignore Reddit.
But it’s where your prospects say the things they’d never admit on a sales call.

Pipeline:

- Input a brand or website
- GPT identifies ICP signals
- Reddit API scrapes relevant threads
- GPT summarises pain points, the language prospects use, their frustrations, what they actually care about
- A daily insight report sent to your inbox

This is the closest thing to reading your market’s mind.

THE RESULT: AUTOPILOT PIPELINE

These 4 agents work together to create a system that runs 24/7:

1. High-fit leads → already in your CRM
2. Weekly content → drafted before you wake up
3. Market intelligence → delivered before your first coffee
4. Zero hours wasted on research, scraping, or repetitive admin

You’re not “doing more.”
You’re just letting the system do what humans shouldn’t.

And here’s the real shift:

> Companies scaling in 2025 aren’t hiring more SDRs.
> They’re eliminating the work SDRs used to do.

If you’re still manually researching prospects and writing content from scratch, you're working 10x harder than necessary.

We build these exact workflows in n8n - plus the other automation plays that save 15+ hours per week, per team member.

Which one are you building first?

4 GTM n8n Agents 

Here’s what our numbers look like today:

→ $6,000,000 ARR
→ $40k–$80k new MRR added each month
→ Predictable pipeline month after month

All powered by a GTM funnel that took us 18 months to refine.

Here’s the full breakdown, the exact one we still use internally.

1️⃣ Awareness (the volume engine)

Not every impression is equal, but volume absolutely matters.

Here is how we look at it:

Visibility → Leads
Leads → Meetings
Meetings → Proposals
Proposals → Revenue

Here's what we're generating right now:

100,000+ quarterly website visits (SEO + Paid)
2.5M–3M monthly impressions on LinkedIn
5K–20K monthly YouTube views

Tools:

→ Taplio, Scripe, Notion (content)
→ AirOps, Ahrefs, Surfer (SEO)
→ Fibbler, arcadsAI (paid)

2️⃣ Interest

Getting seen is easy. Getting buyers to take action is what separates good from great imo.

So we increase conversion rates by:

→ Running monthly webinars (warm nurturing at scale)
→ Sharing lead magnets that educate
→ Using one-step smart forms to auto-route leads instantly
→ Identifying anonymous visitors and re-engaging them (this one's a game-changer)

Tools:

→ Instantly.ai, Vector 👻, Midbound (visitor ID)
→ Default (automated routing)

3️⃣ Consideration

Attention doesn't convert unless buyers understand what you do.

So we:

→ Built multiple VSLs that explain the offer clearly
→ Share success stories with full breakdowns of how we did it

Tools:

→ Wistia (VSL hosting + video testimonials)

4️⃣ Conversion

At this stage we talk to more qualified leads, more often.
Here's how we maximize conversion:

Email nurture sequences keeping the pipeline warm
Automated outreach to high-potential accounts
More open slots for sales calls
Consultative selling on Google Meet

Tools:

→ Clay, OpenAI (lead scoring + segmentation)
→ Customer.io, lemlist, Instantly.ai (outbound + nurture)
→ Attention, Attio (meeting intelligence, pipeline analytics)
→ Qwilr, PandaDoc (proposals, contracts)

Is it perfect? No.
Does it work? Very well.

This GTM system powers our growth month after month. We're always iterating, always improving.

What would you improve? 👇

The sales flow that generated $966K ARR.

Nearly $1M in new revenue in 30 days.

Most people see the content - the LinkedIn posts, the videos, all of it. 
But content is just the front end.

Behind the scenes, there's a whole system.

The team posts across LinkedIn daily.

But none of that means anything without closers who can convert attention into pipeline.

That's where Dujam Dunato and Jan Rasmussen Mitjana  come in.

They're the ones handling inbound, qualifying leads, running calls, and closing deals at scale.

Here's the exact sales flow they used to generate $966K ARR in one month:

1/ Pre-call qualification

We only book calls with prospects we know we can help.

Qualification happens automatically through:

- Inbound routing systems
- Video testimonials that build trust before the call
- Website assets that pre-educate prospects

LinkedIn connection automation for long-term nurturing

Tools:

↳ Default - auto-qualification + routing
↳ lemlist - LinkedIn connection automation
↳ VSL - makes sure prospects understand our offer before speaking to us

This removes 90% of the time-wasters and lets the team focus on revenue-critical conversations.

2/ Discovery & research

Before any call, we prepare - but we don’t do it manually.

We use:

a. Automatic prospect intelligence via Clay + Zapier
b. Funding stage + headcount research
c. Stakeholder identification + role tenure
d. Tracking strategic hires, initiatives, and timing signals

Tools:

↳ SPICED (Winning by Design) - call structure
↳ Clay + Zapier - pre-call research + aggregation
↳ Fireflies.ai - real-time AI note-taking + CRM automation
↳ Qwilr - digital sales room + proposals

This means reps walk into every call fully briefed without lifting a finger.

3/ Follow-up & nurturing

For leads who aren’t ready to sign immediately, we run:

a. Automated follow-up sequences with real value
b. YouTube video follow-ups (no boring text-based emails)
c. Multi-threading across LinkedIn to engage all decision-makers

Tools:

↳ Customer.io & Attio - automated follow-ups
↳ LinkedIn - multi-threading workflows
↳ YouTube content from me & Michel - authority-led nurturing

This keeps prospects warm without our team writing endless manual replies.

4/ Why this closed $966K in one month

Qualification: Only the right people reach our closers
Education: Prospects arrive informed, reducing friction
Automation: Reps spend their time selling, not admin

Content: LinkedIn + YouTube turn strangers into warm, ready-to-buy leads

If you have any questions, feel free to drop any of the guys above a message!

138 meetings from 144 LinkedIn posts (that's almost 1:1).

Here's our $6M ARR workflow:

Step 1: Content volume that converts

We published 144 LinkedIn posts last month. Not random content, everything's built around ICP pain points.

We're using Taplio and Scripe for inspiration, but we're analyzing what books meetings. We look at hooks, visuals, and formats from posts that converted.

Step 2: Paid amplification with actual ROI tracking

$5,100 in LinkedIn Ad spend generated 155K extra impressions at $33 CPM. But we ONLY boost organic posts that have already booked meetings.

We track which persona converts from each post type, then push those winning posts to that exact audience.

Step 3: Intent capture across every touchpoint

This is where most agencies lose pipeline. We're tracking everyone who shows intent but doesn't book.

Tool stack breakdown:

Website visitors: Instantly.ai, Midbound Vector 👻 and Common Room for anonymous visitor identification.

LinkedIn engagement: Trigify.io and Teamfluence™ for social signal monitoring

Step 4: AI-powered lead scoring in Clay

Every lead gets routed to Clay for intelligent scoring. We use Claygent for lead research, then OpenAI to segment into 3 tiers based on fit and timing.

Different tiers get different outreach strategies. A Tier 1 lead gets way more personalization than a Tier 3.

Step 5: Data enrichment that works

Prospeo.io and LeadMagic for emails, FullEnrich for phone numbers - all happening inside Clay so we don't lose context.

Step 6: Multi-channel re-engagement based on score

This isn't random outreach. Every message is contextual, every touchpoint provides value.

The results that matter:

- Made us 557k in revenue for October
- Team grew to 30+ FTEs
- 750+ meetings booked in 2025 already
- One client: $272,600 closed at 7X ROAS in 90 days

The system works because it's not just outbound - it's orchestrated revenue generation across every touchpoint where your buyers show up.

We're adding this GTM workflow FREE for the next 3 ghostwriting clients (15 of 18 spots already taken). Comment 'CONTENTIQ' to grabs yours ☝️

How I'd build a repeatable outbound system if I had to start from scratch:

(There's a public database of your competitor's churn reasons... and most teams aren't using it)

1/ I'd start by scraping competitor reviews

You can use G2. Or Capterra. Or Trustpilot.

And it's full of pain points, written by people actively looking for a better option.

Focus on 2–3 core competitors with a decent number of reviews.

It's a goldmine. You'll find everything from UI complaints to missing integrations to slow support.

Tools you can use:
- n8n / Make (for scraping)
- Apify / PhantomBuster (pre-built scrapers)

2/ I'd extract pain themes using AI

We don't read these manually.

We use ChatGPT to group complaints into themes:
- Feature gaps
- Support response time
- UX or onboarding issues
- Security concerns
- Pricing

You now have a live database of what your prospect hates about their current tool.

Tools you can use:
- ChatGPT (for clustering complaints)
- Google Sheets (for organizing themes)

3/ I'd align those complaints with my actual positioning

Map those complaints to your actual value props.

Here are 3 examples:

a. If their reviews mention "hidden fees," and your pricing is transparent, lean into that.
b. If they complain about integrations you support, name them.
c. If support is a weakness and you have a live-chat SLA, say it.

Now you're not just pitching. You're presenting a clear solution to a known frustration.

Tools you can use:
- Loom (for quick demo videos)
- Your pricing page / integration docs (as proof points)

4/ I'd launch targeted outbound

Once we know who's unhappy and why, we push that data into:
- Clay (for enrichment + personalization)
- Instantly.ai (for sending)

The messaging angle is already validated, and the frustration warms the list.

You're simply showing up with a better option.

Tools you can use:
- Clay (enrichment + personalization)
- Instantly.ai / Smartlead (for sending)

5/ I'd automate it into a system that runs weekly

We've built versions of this using:
- n8n (for scraping)
- ChatGPT (for clustering complaints)
- Google Sheets (for inputs)
- Clay + Instantly.ai (for execution)

It runs weekly. We review angles, update copy, and refresh the list.

Once it's live, it becomes one of your highest-converting outbound motions.

Why? Because you're hitting real pain points with a proven better solution.

Tools you can use:
- n8n / Make (workflow automation)
- ChatGPT (analysis)
- Google Sheets (central hub)
- Clay + Instantly.ai (execution)

6/ I'd run this consistently

This works across industries, and especially well in crowded SaaS categories.

But it requires setup. And it requires letting the system run long enough to see results.

Give it a shot.

P.S: Questions? Drop them below or DM me. Happy to unpack any step. 👇

We scaled to $6M ARR.

If I had to start again, this is what I’d build first.

Most people overcomplicate GTM.

They chase channels. Growth hacks. Headlines.

But if you strip everything back, early-stage growth comes down to a few simple systems done well.

Nothing fancy.
Nothing loud.
Just the foundations that actually move pipeline.

If I was starting from zero again, here’s exactly what I’d put in place.

1️⃣ Email infrastructure

I wouldn’t touch ads.
I wouldn’t build a giant content engine.
I’d start with email, because it scales the fastest when you're unknown (yet).

The setup is simple:

→ 20 secondary domains
→ 40 mailboxes
→ 20–25 emails per mailbox per day

Warm everything up for two weeks.
Authenticate properly (SPF, DKIM, DMARC).
Rotate domains every 9–12 months.

Do this right and 95%+ of your emails land where they're meant to: the primary inbox.

2️⃣ Lead signals

Most people email too early.

They reach out when they want the meeting, not when the buyer is actually looking.

So I’d track 10+ buying signals first - simple things that show intent:

- Downloads
- Hiring spikes
- Website visits
- Funding rounds
- Tech stack changes
- Competitor research
- LinkedIn profile views

The goal is timing.

You don't need more leads.
You need leads who are ready.

3️⃣ Sequence timing

For SMB:

5–8 touchpoints across 30 days.
Shorter gaps. Faster signals.
A simple mix of email + LinkedIn.

For enterprise:

10–18 touchpoints across 60 days.
More education.
More channels.
Less pressure.

4️⃣ GTM workflows

This is where most teams fall apart.

Deals ghost
Leads sit untouched
Handoffs get messy
Nobody knows who's owning what

I'd set up 6 workflows on day one:

→ Ghosting (auto-close inactive deals)
→ Discovery nurture
→ Proposal follow-up
→ Closed-won onboarding
→ Lead routing
→ AE handoff

It’s not exciting work.
But it removes chaos.
And chaos is what kills early GTM.

5️⃣ The metrics that matter

People still obsess over open rates.
They don’t matter.

Track reply rate.
Track positive replies.
Track meetings booked.
That’s it.

Industry reply rate is 1–5%.
Good is 10%+.
Great is 25%+.

PRR tells you everything you need to know:
How many people said yes.

Nothing else matters.

6️⃣ Reporting

If you want pipeline to compound, you can’t just “hope it works.”

I’d check the same dashboard every day:

Deliverability >95%
Reply rate 15%+
Positive replies 1–5%
Meetings booked
Show rate
SQL conversion
Close rate
Spam rate
Bounce rate
Domain reputation

If I had to start again, I wouldn't try to do all the things. I'd build these foundations, stay patient, and let the system do its job.

Everything else comes later.

What would you add to this list? 👇

P.S. Kenny Damian crushed it putting this GTM cheatsheet together - feel free to send a DM if you need help with this.

AI agents are replacing entire GTM workflows.

So I tested 50+ of them to see which ones perform.

Most perform great in demos.

Then I plug them into our workflows and... not so much.
So I ran them through everything we use at ColdIQ.

Research, enrichment, outbound, scoring, support - the whole lot.

Some were fine. Most were absolute garbage.

So we consolidated everything the team found, compared notes, and built a list of the ones that consistently delivered.

Here's what worked... ↓

1️⃣ Sales Agents

- Artisan
- Valley
- Topo (YC W24)
- AiSDR

2️⃣ Research Agents

- Claygent
- Airtop
- Attio

3️⃣ Customer Service Agents

- Intercom
- Parahelp
- Forethought
- Sierra

4️⃣ Visual Agent Builders

- n8n
- Relevance AI
- Lindy
- Wordware (YC S24)
- Dify
- Taskade

5️⃣ Marketing AI Assistants

- Tome
- Aomni
- Copy.ai
- Jasper

6️⃣ AI Executive Assistants

- Fyxer AI
- Tasker AI
- Shortwave

7️⃣ Enterprise Development Platforms

- StackAI
- Microsoft Autogen
- LlamaIndex
- CrewAI
- LangChain
- Cohere

8️⃣ Ready-Made Agent Libraries

- Beam AI
- Sintra
- Lyzr AI

What agent tools am I missing from this list?

Drop them in the comments, always looking to test new ones.

P.S. Give Kenny Damian a follow. He's the goat when it comes to AI agents.

Ai Agents Categories

ColdIQ made 557k in revenue last month.

80% came from content.

Not ads.
Not cold calling.
Content.

Last month we launched ContentIQ - the system behind all of it.

Most people talk about “posting more.”

I want to show you what actually drives revenue.

Here’s the full breakdown of how we do it at ContentIQ 👇

1️⃣ Content foundation (the part everyone skips)

Before the engine runs, we build the infrastructure.

Phase 1: Onboarding

The non-negotiables:

- 1-hour strategy call → sharpen positioning
- Content audit → reality vs perception
- Voice capture → so your content sounds like you
- ICP definition → clarity = revenue
- Content calendar → narrative arcs, not random posts
- Community channel setup → where engagement compounds

Tools:
Gmail, WhatsApp, Slack
Attention.ai, Circleback, Loom
Clay, ChatGPT
Asana, Notion, Monday

This foundation is 70% of the results.

Phase 2: The content engine

Two tracks running in parallel:

Track 1: Creation

- Bi-weekly founder interviews
- Extract ideas, frameworks, stories
- Weekly content plans
- Graphic design
- Approval flow

Track 2: Production

- Finalised + delivered in 2–3 days
- Speed = momentum. Momentum = revenue.

Tools:
Canva, Figma, Adobe
Taplio, Scripe
(plus everything from Phase 1)

2️⃣ Lead tracking & scoring

Most companies post and hope for the best.

We post and measure.

We track:

- Profile views
- Impressions
- Comments
- Saves
- DMs (highest intent)
- Engagement depth

We run ICP 1 and ICP 2 separately.

Because:

A profile view ≠ a profile view.
A comment ≠ a comment.
A DM ≠ a DM.

We score each action so we know who is engaging and how qualified they are.

Tool: Teamfluence™

3️⃣ Automated outreach (the secret sauce)

All that engagement data flows into the automation stack.

Here’s what happens behind the scenes:

1. High-intent signals identified
2. Lead enriched with additional data
3. ICP-fit scored
4. Personalised outreach triggered
5. Across email + LinkedIn

The system does the work.

Tools:
Clay
Attio
Common Room

4️⃣ The Funnel Architecture

Most teams do ONE thing and wonder why they plateau.

Here’s the full blueprint:

→ LinkedIn content = Awareness + credibility
→ Engagement tracking = Intent identification
→ Automated outbound = Intent → conversations → revenue

When all three connect, you stop “posting content”…
and start building a pipeline engine.

---

5️⃣ The offer

For the first 10 signups to ContentIQ, we’re giving you:

The entire automated outreach machine
+
The full content engine.

Not just posts.
Not templates.
The whole workflow that built our business.

Here is the link: https://lnkd.in/ddStnRu3
(And yes… this is where it gets really good 👀)

This one tool rewired our entire workflow ↓

And saved 20 hours a week.

Two months ago, we rolled Fireflies.ai into our operations.
Not for transcription (they've already won that category),
but for meeting intelligence and workflow automation.

Here’s exactly how we’re using it:

1️⃣ Walk into every call already briefed

Before a meeting even starts, Live Assist pulls up:

→ Your past conversations
→ Key decisions from the last call
→ Open tasks + commitments
→ Context you forgot you even needed

You're not going through old notes or trying to remember what you said last week.

You just show up ready (game changer for prep).

2️⃣ Real-time suggestions during the call

This is the part that genuinely changes how you operate.

Live Assist listens live and surfaces:

→ Talking points
→ Objection handling
→ Context from previous calls
→ Background details you missed
→ Prompts tied to what the client is saying

And if you need something specific mid-call,
you can actually ask the agent to give you an answer.

3️⃣ Zero manual notes

Your team stays focused on the client.
Fireflies handles the note-taking:

→ Clean notes
→ Organised
→ Time-stamped
→ Accurate
→ Updating as the call unfolds

No one is typing.
No one is distracted.
Nothing gets missed.

4️⃣ Instant client summaries

Call ends → Summary appears.

→ Key points
→ Next steps
→ Decisions made
→ Assigned action items

We push this straight into Slack so everyone stays aligned.

And we also send all the data to a Claude project so we can keep track of what's happening with every client.

We're building a lot of internal tech at ColdIQ. And Fireflies has a Claude MCP integration.

So now we can query meeting notes across the entire business directly from Claude.

- "What did we promise this client last month?"
- "What objections came up in our last 10 sales calls?"
- "What feedback did prospects give about pricing?"

Just ask and you get the answer in Claude directly.

This is why we’re scaling Fireflies.ai across every team.

If you want the link to test Live Assist yourself,
drop a “Fireflies” below and I’ll send it over. 👇

How we use Fireflies 

We didn’t expect much from this ABM campaign.

But in 90 days it generated $2M in pipeline and $300K in revenue.

Most teams think ABM is about creating more:

→ More impressions
→ More retargeting
→ More pressure

But that wasn’t the problem.

They were struggling because the right people didn't trust them yet.
So instead of doing “more,” we tried doing the opposite.

1. We started with the customers who already chose them.

We pulled their best deals and looked for patterns.
Not just the big names - the ones who actually got the most value.
Those patterns became our targeting strategy.

2. We built a small, intentional target list

Not a huge TAM spreadsheet
Not thousands of cold accounts

Just 2,000 that looked like their best buyers

3. We mapped the people behind each account

Three to four real decision-makers:

- Their pains, priorities & timing
- What they already believed
- Where they were getting stuck

4. Personalize at every touchpoint

- Ads built around their challenges
- Landing pages that addressed their objections
- Emails synced to where they were in the process

Everything worked together.

5. We aligned every channel

- Outbound warmed them
- Content educated them
- Ads familiarised them
- The CRM tracked the signals

Each touch made the next one easier.

6. We optimized constantly

Some messages converted.
Some didn’t.

We got rid of what wasn't converting and doubled down on what was.

That's when we saw a huge change.

The result:

→ $2M+ in qualified pipeline
→ $300K closed revenue
→ All in 90 days

Ivan documented the entire playbook - the framework, the timing, the execution details.

Comment "PIPELINE" if you want it.

52x ROI ABM Campaign 

Clay is one of the most powerful tools in B2B right now.

But most people don't know where to start.

Most people open a Clay table, stare at it for 10 minutes, and close it because they don't know what to build.

We've built 500+ Clay tables for clients. Here are the 5 workflows you should start with:

Workflow 1: Waterfall Email Finder

The problem: If you use one email finder you are getting something like a 40% finding rate. That means 60% of your list is useless.

The fix: Stack multiple providers in sequence. Start with the first one (ie Prospeo.io). If the first provider doesn't find the email, try another one like LeadMagic. You can run more than 10 different providers to maximise your chance to find the right email. 

Result: 85-90% email findign rate vs 40% with a single provider.

Workflow 2: Signal-Based List Builder

The problem: You're blasting the same message to everyone. 

The fix: Pull companies from Ocean.io or Apollo. Then start to enrich to find relevant signals. 

For example: Use Claygent to scrape funding news. Track hiring spikes with LinkedIn enrichment. Check tech stack changes with BuiltWith. Score them: 3 signals = immediate outreach, 2 = nurture, 1 = long-term.

Workflow 3: Inbound-led Outbound 

The problem: People are visiting your website but you are not capturing the intent.

The fix: RB2B identifies website visitors. Push to Clay for enrichment. Find decision-makers at those companies companies. Then push the data to Instantly.ai for outreach.

Workflow 4: LinkedIn Engagement -> Outreach

The problem: People engage with your posts and you never follow up.

The fix: Trigify.io tracks who engages with your posts. Push people engaging with your content to Clay. Enrich to find more relevant data. Do some ICP scoring and reach out to leads fitting your ICP. 

Workflow 5: Champion Reactivation

The problem: Your past champions changed jobs and you're not tracking them.

The fix: Export past customers from your CRM. Use UserGems 💎 or Clay tracks job changes. Enrich to rind the right data then reach out offering to help again.

Stop staring at empty Clay tables.

Build these 5 workflows first and you'll already have a good outbound engine going.

Which one are you starting with?

taplio

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Alex Vacca 🧠🛠️

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The Battle

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Alex Vacca 🧠🛠️

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