I am curious about how B2B companies can get more SALES! 🚀

I helped BIS Research grow from few thousand to 7 figures $ annual revenue. Now I help other B2B companies achieve the same.

Yash Agrawal

I help B2B companies modernize their sales systems and generate high-quality leads using the most advanced tools and strategies available today.

Most sales teams are stuck using outdated methods—spraying generic messages, working from static lead lists, and relying on guesswork. 

At Growth Momentum, we design and implement next-generation sales systems powered by tools like Clay, AI, and real-time data signals to make outreach smarter, faster, and far more effective.🚀 

With us, companies achieve:

🎯 More qualified leads through hyper-personalized outreach at scale

🧠 Smarter prospecting using 30+ tools that track buyer signals, intent, and timing

⚙️ A fully modern sales infrastructure that supports long-term pipeline growth

With 12+ years of experience leading sales and product teams, I’ve helped companies across Europe shift from manual, outdated systems to efficient, tech-enabled sales operations that generate real conversations—and real revenue.

👉 Want to see what a modern sales system could do for your team?

Book a quick strategy call: 

https://calendly.com/david-t-growthmomentum/30min

David Turewicz

We’re excited to finally launch Kinetyca 🚀🚀
 
This is a long-awaited merger between Growth Momentum and TAM Acceleration 🎉
 
Matteo and I met through an agency mastermind. Over time, it became clear that we were approaching the same problems from different sides.
 
I come from sales and growth.
Matteo comes from operations and systems.
 
And together, it just clicked.
 
Our teams complemented each other in a way that felt natural. 
What one side did well, the other strengthened even more.
 
The more we worked together, the clearer it became:
 
Joining forces would let us support our clients better, with stronger talent, deeper systems, and more predictable outcomes 💪
 
So we took the call to merge!
 
Kinetyca brings the best of both worlds together into one clear GTM engine. 
 
Built for long-term ownership, not short-term wins.
 
We’re genuinely excited about what this unlocks for our clients, our team, and what we’re building next 🚀✨
 
More to share very soon, stay tuned!!

We build Elite GTM AI-Systems for B2B Brands | Co-Founder at Kinetyca

Our LinkedIn Stack That Hit a 50% Acceptance Rate
 
Most LinkedIn outreach fails for one simple reason:
→ people try to earn relevance after sending the message.
 
We flipped the order.
 
Instead of starting with cold outreach, we start with intentional visibility and only then move into conversations.
 
Here’s the exact system 👇
 
Step 1: Start with an ABM list in Clay
→ Everything begins with a deliberate list of companies and roles we actually want to talk to.
→ No inbound randomness. No “whoever liked a post.”
 
Step 2: Warm up targets with Extrovert
→ Before any message is sent, we engage our ABM targets at scale.
→ GoExtrovert helps us show up in the right conversations with context-aware comments, so our name is already familiar.
 
Step 3: Content reinforces recognition
→ As targets see our comments, they also see our content in-feed.
→ Some engage. Some don’t. Both still increase familiarity.
 
Step 4: Enrich and qualify in Clay
→ Our ABM list is enriched and scored inside Clay based on ICP fit, seniority, and relevance.
→ If someone doesn’t qualify, they don’t get messaged.
 
Step 5: Generate the message inside Clay
→ For qualified, warmed profiles, Clay generates a LinkedIn opener that references prior exposure or shared context.
→ No templates or generic openers.
 
Step 6: Send via HeyReach.io
→ Messages are delivered natively on LinkedIn with human pacing.
 
And here's what you get:
✅ ~50% + acceptance rate.
✅ Higher-quality replies.
✅ Conversations that don’t start defensive.
 
The flow is simple: Relevance isn’t created in the first message.
 
It’s created before the message is ever sent.
 
That’s the difference between cold outreach and engineered conversations.

Compilation of our Best Clay Guides for 2026 (4 Clay Guides GIVEAWAY)
 
We have been using Clay daily across real GTM systems long before it became the default GTM Tool.
 
After building and reviewing dozens of Clay setups, one pattern kept showing up:
 
Most teams know what Clay can do.
Very few know how to structure it so it actually drives results.
 
So we put together the Clay Mastery Suite for 2026.
 
A beginner to advanced breakdown of how Clay should be used in practice:
✅ How to Make Money with Clay
✅ 20 Claygent Navigator Use Cases for 2026
✅ 10 Best Use Cases with Clay’s Sculptor Feature
✅ 15 Clay Alternatives to know
 
In it, we cover:
 
→ How to build your first usable TAM table, not just a list of companies
→ How to rank and prioritize accounts using real signals like hiring, funding, and growth
→ How to use Sculptor to design tables that explain why an account matters
→ How to use Navigator to pull data hidden behind websites, filters, and calculators
→ The 6 Clay workflows most teams reuse across outbound, ABM, and partnerships
→ The mistakes that cause Clay setups to stall even when the data looks good
→ When Clay is overkill and what to use instead for simpler jobs
 
All tried and tested in 2025
 
If you want the full Clay Mastery Suite
(including all guides and the full breakdown behind this infographic)
 
Comment "Clay Master" and I'll send it to you

We announced the merger yesterday!
 
Now we’re scaling delivery and hiring 4 roles: GTM Engineer, GTM Strategist, SDR DM Setter, and SDR Cold Caller.
 
These roles sit at the core of what we do.
✅ Designing GTM strategy.
✅ Building the systems behind it.
✅ Owning client outcomes end to end.
 
Baseline requirement is 3+ years of experience (agency / growth / lead gen preferred).
 
1. GTM Engineer
- We need someone who is a real Clay power user and can build end-to-end workflows in n8n or Make across Smartlead, HeyReach.io or Instantly.ai, with solid CRM and RevOps instincts.
 
2. GTM Strategist
- We need someone who can turn ICP, messaging, and outbound + ABM planning into execution that produces pipeline, and is comfortable working inside a CRM, Sales Nav, and Sheets.
 
3. SDR DM Setter
- We need consistent LinkedIn prospecting, strong DM openers, and clean qualification.
 
4. SDR Cold Caller
- We need someone structured on the phone who can handle objections, qualify properly, and follow up with discipline.
 
If this sounds like you, DM me.

An 8-step content system that has supported $14M+ in client revenue
(After building 150+ GTM systems)
 
LinkedIn content became useful when we stopped using it just for branding.
 
We wanted it to support outbound.
That meant every post had to create signal, not just impressions.
 
This is the system we built to do that.
 
STEP 1: SCRAPE POSTS
 
We start by collecting post ideas from competitors, creators, and trending topics.
 
→ What formats are working
→ What angles are getting engagement
→ What topics people actually react to
 
This is done using n8n, LinkedIn, X, and Clay.
 
The goal is to remove guesswork before anything is created.
 
STEP 2: CREATE ASSETS
 
Once we know what works, we turn those ideas into assets.
 
→ Written post drafts
→ Simple visual formats
 
This step is handled using ChatGPT and Figma.
 
The focus is clarity and repeatability, not originality for its own sake.
 
STEP 3: CREATE POSTS
 
We then finalize post copy so it is ready to publish.
 
This ensures every post follows the same internal logic and intent.
 
Final copy is prepared using ChatGPT or Gemini.
 
STEP 4: PLAN THE CALENDAR
 
Posting randomly breaks momentum.
 
We decide what gets posted, when it gets posted, and from which profile.
 
All planning happens inside Notion so distribution stays consistent.
 
STEP 5: MAKE POSTS
 
Posts are published from the right profiles on LinkedIn.
 
This helps build familiarity over time with the audience we want to reach.
 
STEP 6: ENGAGE DAILY
 
Posting alone is not enough.
 
We engage daily with:
→ ICP posts
→ Influencer posts
→ Comments on our own content
 
Commenting, likes, and replies are handled using Extrovert.
 
Replies to lead magnet comments and post replies are handled using LeadShark 🦈.
 
This is where visibility turns into recognition.
 
STEP 7: CAPTURE INTEREST
 
We then track people who show real signals of interest.
 
→ Content engagement
→ Profile views
→ Post interactions
 
This is done using Trigify.io and LinkedIn Sales Navigator.
 
Not every interaction matters, but patterns do.
 
STEP 8: PASS TO OUTBOUND
 
Only high-intent people are passed into outbound.
 
These leads are sent into outreach using:
→ Smartlead
→ HeyReach.io
 
At this point, outbound is no longer cold.
 
Messages are grounded in real context created by content and engagement.

The GTM stack that generated €175k in revenue just 4 months after launch.
 
This system closed 48 deals across 4 countries and delivered a predictable outbound engine.
 
Here is the exact workflow, step by step.
 
STEP 1: MARKET DEFINITION BY COUNTRY
 
Before any outreach, markets were defined separately for each country.
 
→ Italy
→ France
→ Spain
→ UK
 
Each country had its own ICP logic, buyer roles, and data constraints.
This avoided forcing one global ICP onto very different markets.
 
STEP 2: COUNTRY-SPECIFIC DATA SOURCING AND ENRICHMENT
 
Dedicated databases were built for each country.
 
→ Company sourcing via Apollo and manual research
→ Scraping and list building via PhantomBuster
→ Enrichment, classification, and custom fields via Clay
 
Every record was enriched, validated, and cleaned.
Low-quality data was removed before it could reach outreach.
 
STEP 3: SENDING AND OUTREACH INFRASTRUCTURE
 
To scale safely, delivery infrastructure was built first.
 
→ 76 inboxes across 26 domains
→ Deliverability rotations and warmup logic
→ International targeting workflows
 
Email outreach on Instantly.ai was paired with LinkedIn flows to reach multiple buyer types at once.
 
→ LinkedIn outreach supported email, not replaced it
 
STEP 4: SECTOR-BASED INITIATIVES
 
Instead of one broad campaign, 16 sector initiatives were launched.
 
→ Each initiative had its own angle
→ Messaging adapted by sector and country
→ Performance tracked independently per initiative
 
This allowed fast learning without risking the entire system.
 
STEP 5: AI-DRIVEN PERSONALISATION AND QUALIFICATION
 
AI was used to remove manual bottlenecks, not decision-making.
 
→ First-line generation and company research via Clay
→ Messaging variations created dynamically
→ Company and response classification handled automatically
 
Each contact received contextually relevant messaging.
 
STEP 6: REPLY CLASSIFICATION AND SALES ROUTING
 
Replies were classified in real time.
 
→ Positive responses pushed into HubSpot
→ Tasks created automatically
→ Instant notifications sent via Slack
 
Sales teams never touched inboxes.
They only worked active, qualified conversations.
 
STEP 7: CONTINUOUS ITERATION AND OPTIMISATION
 
Campaigns were reviewed weekly.
 
→ Performance compared by country
→ Messaging adjusted per sector
→ Underperforming initiatives paused or refined
 
The system improved continuously without rebuilding from scratch.
 
RESULTS 4 MONTHS AFTER LAUNCH
 
✅ €175k in new sales
✅ 48 deals closed
✅ 1,101 qualified leads
✅ 4 countries live
✅ 16 sector initiatives tested
 
This is what a predictable, multi-country GTM system looks like when data, infrastructure, AI, and sales operations are designed to work together.

The Founder-Led GTM Stack we're running in 2026
 
🔶 Warm
Start every day by showing up where your buyers are.
Comment with intent. Add perspective. Stay visible.
Extrovert makes this rhythm effortless, consistency without spam.
 
🔶 Engage
Post on LinkedIn with value.
Share frameworks, insights, and lead magnets that speak to your ICP’s pain points. The goal is relevance.
 
🔶 Capture.
When people lean in, don’t let the moment fade.
LeadShark 🦈 automates the comment → DM loop, delivering assets instantly while you focus on the next post.
 
🔶 Enrich.
Every touch becomes data.
Push it to Clay enrich context, and filter out noise until only the right buyers remain.
 
🔶 Convert.
Now we push these to outreach (Smartlead & HeyReach.io)
Each interaction builds trust, each signal sharpens the next move.

Simple systems. Clear signals. Consistent action.

That’s how founder-led GTM turns daily effort into predictable momentum in 2026.

We analyzed 100 psychological sales triggers used by the world’s top experts.

Because every Founder, Marketer, and SDR keeps running into the same question:

What actually makes a sales message hit?

We know psychology plays a huge role.

So we went deeper.

We studied top sales experts and broke down 100 psychological triggers that are actually being used to close deals in sales calls, DMs, landing pages, webinars, and more.

We broke down how each one works:
 ✅ What the trigger is
 ✅ A real example of it in use
 ✅ Why it works (the psychology behind it)
 ✅ Who’s using it

Straight from sales & marketing experts like Alex Hormozi, Chris Voss, Grant Cardone, Dan Lok, Dan Kennedy, Russell Brunson, Dr. Robert Cialdini, Chris Do, Myron Golden, Ph.D., Alex Becker , Sabri Suby, Chris A. Evans, Taylor Welch, Alex Berman, Samantha McKenna, Yurii Veremchuk, Jonah Berger, Daniel Kahneman, Dan Ariely, Nir Eyal, Daniel Pink, Neil Rackham, BJ Fogg, PhD, Roger Dooley, Sally Hogshead, Oren Klaff, Eugene Schwartz, David Hoffeld, Jeb Blount, Dale Carnegie, 🦾Eric Nowoslawski, Alan Ruchtein, Nick Palasz 

If you want the full list, COMMENT “PSYCH” and make sure we’re connected.

I’ll send it over.

Our LinkedIn outbound system that generated $2.6M in qualified pipeline in 6 months for an AI-powered talent development SaaS, using LinkedIn as the only outbound channel.
 
1. Start with a clear view of the buyer
→ Before any outreach, we defined who the system was built for.
→ Specific company profiles, senior roles, and buying situations tied to skills development and enterprise enablement.
→ This ensured every message was written for a real buyer, not a generic audience.
 
2. Account for how buying decisions actually happen
→ The person replying is not always the decision-maker.
→ We assumed conversations would often start with adjacent roles and designed targeting and messaging so it could travel internally without losing context.
 
3. Build a strong data foundation
→ AI agents were used to enrich and qualify accounts before they entered outreach.
→ Segmentation was done at both company and role level, using hiring signals, firmographics, and technology usage to add context to every profile.
 
4. Add intent through ABM layers
→ Clay powered the ABM logic behind the system.
→ Website visitors, competitor audiences, lookalike companies, and hiring-based signals were combined to prioritize accounts showing early intent, rather than relying on static lists.
 
5. Use LinkedIn as a controlled execution layer
→ LinkedIn was the only outbound channel.
→ Multiple senders, controlled volumes, and structured connection and follow-up sequences were used to maintain deliverability while keeping activity consistent.
 
6. Measure what matters
→ All activity flowed into internal dashboards and CRM reporting.
→ This made it possible to track acceptance rates, replies, and pipeline movement together, and to adjust the system based on what actually influenced revenue.
 
The results did not come from volume or tactics.
 
They came from a single, well-structured GTM system where data, targeting, outreach, and operations were designed to work together.
 
When that alignment exists, one channel is enough to build predictable pipeline.

182 qualified meetings. $1.08M pipeline. Built in 90 days
 
How did we achieve these numbers? By fixing 1 main foundational problem
 
What we kept seeing wasn’t a team issue. It was a structural one.
 
Outbound, inbound, content, CRM were all active.
And all generating signals.
 
But nothing was connected into a single unified system.
 
That’s the gap we built Kinetyca to fix.
 
And this is our welcome video.
 
A breakdown of how we turn outbound, inbound, content, CRM, and intent signals into one connected go-to-market system.
 
Systems you can actually predict and own.
 
If you’re tired of hoping the pipeline shows up, and want to engineer revenue motion instead...
 
Welcome to Kinetyca 🚀
 
And if you haven’t yet, take a look at our new website -> kinetyca.com

We’ve been working on something exciting over the last two weeks!
 
A lot has come together, and the energy is high as everything clicks into place.
 
We’ll be sharing a big announcement in two days!
 
Can’t wait to share more 🚀

How we built 11+ automated ABM plays for a performance marketing services business
 
This started with a simple observation.
 
They were getting signals everywhere.
Website visits. Social engagement. Hiring activity. Old CRM relationships.
 
But none of those signals were connected.

And most of them expired before anyone could act on them.
 
So the goal wasn’t to create more campaigns.

It was to design a system that could notice intent, interpret it, and respond consistently.
 
Here’s how the system came together:
 
---
 
Step 1: Capturing real signals
 
Every meaningful interaction was treated as a potential signal.
Website behavior, LinkedIn engagement, review site activity, even reappearing past contacts.
 
Not all of these mean buying intent.
But together, they create context worth paying attention to.
 
---
 
Step 2: Enrichment before action on Clay
 
Once a signal appeared, the account was enriched automatically.
 
→ Company context
→ Role and seniority
→ Competitors
→ Market signals
 
This happened before any outreach decision was made.
 
---
 
Step 3: Qualification, not assumptions
 
Most signals do not deserve follow-up.
 
Each account was evaluated against clear fit and intent criteria.
 
→ Relevant industry
→ Company size match
→ Intent strength
→ Role relevance
 
If it didn’t meet the bar, the system stopped there.
 
---
 
Step 4: Centralizing everything
 
Before outreach, the system checked one thing first: context.
 
→ Is this already in the CRM (HubSpot)
→ Is there an active conversation
→ Is this a past client or closed-lost account
 
Nothing moved forward without this step.
 
---
 
Step 5: The centerpiece offer
 
All qualified signals pointed to one destination: Marketing Plan 2.0.
 
A prospect enters a domain.
The system analyzes competitors, positioning, and opportunities in real time.
Results are delivered instantly, while Hubspot is updated in parallel.
 
This became the anchor for every ABM play.
 
---
 
Step 6: Contextual follow-up
 
Outreach was triggered only when it made sense.
 
→ Message matched the signal
→ Channel matched the account
→ Timing matched intent
 
No generic sequences or forced outreach
 
---
 
Once live, the system ran continuously.
 
✅ 11+ ABM plays operating in parallel
✅ Signals captured and routed automatically
✅ Sales stepping in only when the context was already clear
 
A solid signal-based GTM system designed to run reliably, without constant manual intervention.

Our 11-step AI outbound engine has helped generate over $14M in client revenue.
 
Outbound only started working consistently for us once we stopped treating it like a messaging problem.
 
Most teams jump straight to sequences.
But the real problems show up much earlier.
 
So we built a system that starts with clarity and ends with booked meetings.
 
Here is the step by step breakdown:
 
STEP 1: DEFINE TARGET ACCOUNTS
We start by deciding which accounts actually matter.
Not leads or job titles, but companies we genuinely want to win.
We use ICP and market research with Google's Gemini 3 to set clear boundaries from day one.
 
STEP 2: DEFINE ICP DATABASES
Once the target is clear, we choose the right data sources that match the ICP.
We use Apollo, ZoomInfo, and Ocean.io to build accurate account and contact coverage.
If the inputs are wrong, everything downstream breaks.
 
STEP 3: PUSH TO CLAY
All accounts and contacts are pushed into Clay.
This becomes the central control layer for enrichment, scoring, routing, and automation.
Decisions live in one place instead of across tools and spreadsheets.
 
STEP 4: LAYER SPECIALIZED ABM SIGNALS
We layer in account and intent signals to understand priority.
This includes data from RB2B, Bombora, G2, and LinkedIn signals.
→ A single signal rarely means buying intent
→ Patterns across signals change who moves first
 
STEP 5: CLEAN AND ENRICH DATA
Before writing any messages, we fix the data.
Missing fields, broken records, and incomplete context are resolved inside Clay.
Personalization only works when the data underneath is reliable.
 
STEP 6: CHOOSE CHANNELS
We decide how each segment should be approached.
→ Email only
→ LinkedIn only
→ Or multi-channel
Channel choice is driven by context, not habit.
 
STEP 7: CREATE PERSONALIZED MESSAGING
Only after accounts, signals, and channels are set do we generate messaging.
We use Clay AI workflows to create messages tied to why the account is being contacted now.
This keeps outreach relevant instead of generic.
 
STEP 8: LAUNCH OUTREACH
Outreach is executed across the chosen channels.
We send messages using Smartlead, HeyReach.io, and Instantly.ai.
At this point, execution is automated. The thinking already happened upstream.
 
STEP 9: SYNC ACTIVITY AND REPLIES
All outreach activity and replies are synced back automatically using Clay.
This keeps the system accurate without manual tracking.
 
STEP 10: PUSH RESPONSES TO CRM
When prospects reply or show interest, responses are pushed into HubSpot.
Pipeline stays clean and visible for the team.
 
STEP 11: NOTIFY SALES
Sales is notified in real time through Slack.
→ Not when emails are sent
→ Not when links are opened
→ Only when replies show real intent
 
That is the engine that helped our clients get 14M+ in client revenue...
 
It is not built to send more outbound.
 
It is built to decide who matters, why now, and what action makes sense, then close the loop all the way into the CRM.

taplio

The Battle

Yash Agrawal

David Turewicz

Followers

Posts

Engagements

Likes

Performance ScoreDavid Turewicz's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Yash Agrawal

David Turewicz

Followers

Posts

Engagements

Likes

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

Ready to grow your LinkedIn presence?

Performance ScoreDavid Turewicz's LinkedIn Performance