Florin Tatulea

Sales Leader | LinkedIn Top Voice 2023 | GTM Advisor | Focusing on Seed → Series B

I'm a passionate leader that lives and breathes all things sales.

I was lucky enough to be the first sales hire at Loopio and have had the opportunity to be a part of and contribute to the exponential growth that had led us to a sales team of ~50 strong. In my 6.5 years at Loopio we grew revenue by 65x. 

I am now doing it all over again at Common Room

Whether it's been as an SDR, AE, Manager or Director, I'm constantly looking for ways to reinvent myself and my team.

I'm a people-first leader that understands that leading a team is not about me. It's about lifting others up and seeing them succeed. My success is simply a bi-product of my team's success. 

As a sales leader, I'm curious about scaling sales teams, generating pipeline, increasing win rates and lowering ramp times in a remote world.

As an individual, I'm passionate about copywriting, sequence/cadence building, leveraging social selling and the future of sales technology.

Director of Sales

I just took a look at the new Nooks launch.

Users of Outreach and Salesloft are going to want to take a look after what I saw with the their new AI Sequencer.

I believe they are going to seriously shake up the legacy sequencing space. 

Not a lot of people know this, but I was one of the first 10 customers of Nooks when the company was still just Dan, Rohan & Nikhil and a virtual sales floor.

As a multi-time customer, not even I could have predicted the level of execution that their team was going to put forth.

Apart from building a quality product FAST, Nooks did something (intentional or not) that is going to give them a massive competitive advantage over the next couple of years.

They owned the action/execution layer FIRST, and have now built the Data Foundation layer (Account Research, Signals, etc.) around it.

Most GTM tech orgs in the market today are doing the exact opposite.

They built the data foundations and are now trying to build an execution layer.

Why is this important?

Because the action layer is where the rep lives. If you own the action layer and do it well, it’s VERY sticky.

Reps will kick and scream if you take it away from them. Re-training tens or hundreds of reps on a new system of action is a nightmare for enablement.

Trust me, I’ve lived through the kicking and screaming.

Selling GTM tech, everybody was constantly asking us… “Can you integrate with Nooks? That’s where our reps live.”

Right now there is a full-blown race to see who will own the full “Sales OS”.

Today, Nooks made this race a lot more interesting by launching their new Agent Workspace for Intelligent Outbound.

They just added:

1. Signals (Combining live web intent with your CRM and past calls)
2. Autonomous Account Research Agents (Running in the background 24/7)
3. List Building Capabilities
4. An Omnichannel Sequencer (Executing across Email, Phone, SMS, and Social)

Imagine autonomous agents that monitor web intent in the background, cross-reference it with your CRM, draft hyper-personalized emails, and then drop the warmest leads into a power hour calling block.  Because it's actually an action layer, the feedback loop makes it smarter with each engagement. 

You can argue that they have a real chance at being the MAJOR player in the consolidation of the GTM tech stack.

They also have a massive moat of call data (50% of our own outbound meetings came from cold calls)... which a lot of other data platforms simply do not have.

​​GTM Leaders: what are your thoughts on this space? Let's debate below

(PS - go check out the massive Nooks launch ). 

#NooksPartner

GTM Leader | LinkedIn Top Voice | Advisor

Here's what my calendar would look like 9-5 when I was managing the whole SDR function a few months ago. 

This is why I always tell reps to try to call decisions makers between 8-9am or 5-6pm. 

We ran the data across thousands of calls in Nooks. It supports this as well. 

Managers and execs are in an insane amount of meetings (for better or worse).

Give yourself a better shot. 

#sales #coldcalling

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Obtained a GPA above 3.5 for the entire academic year 2011-2012

Dean`s List

E3 Business Case Competition

Top Ranked Junior Tennis Player - Canada  

Talk Master Certification 

Competed against 20 business schools across the U.S. including Wharton, Stern, Berkeley and Sloan. 
This competition asked students to choose a stock to either long or short, with the only requirement of it having a 30 day SMA of over $200m in market cap. Our team, being the only international presence in the competition,  chose to pitch Iridium (IRDM), a satellite communications company, and have received a final judgement score of 24/30 based on Stock Selection, Presentation, and Q&A. 

Georgetown Stock Pitch Competition

Cold Email Conversion Machine by Florin Tatulea

Prospecting from the Trenches | Florin Tatulea | Substack

Working with Local Food Plus, a not-for-profit aiming to drive a sustainable food model to the benefit of local farmers and retailers in Ontario

If you prospect on LinkedIn, you should watch this. 

This is something I’ve always struggled with that I’ve now found a solution for.

If you use sequencing platforms like Outreach, Salesloft and Gong Engage you’ll know that after you do the manual steps of sending connect requests, LinkedIn activity just gets lost to the void.

There is no easy way to systematically filter for:

1. New LinkedIn connections who are actually in your ICP vs general networking contacts

2. Prospects who have accepted your request but you never actually bothered to send a DM to

This has made systematic outreach that’s coordinated more difficult.

This is no longer a problem as I’ve started to use Kondo: Superhuman for LinkedIn DMs. 

I can now:

→ Filter for connections and bulk tag them as prospects

→ Search for specific personas very easily with a fuzzy search that actually works

→ Open a custom of these personas posts on LinkedIn to build more tailored outreach

SOOO much easier. 

They have a great promo running right now if you sign up by the end of the week (Feb 28):

2 months free with this code:  https://lnkd.in/gFETw84Z

You are welcome :) 

#KondoPartner

2026 is the year to double down on cold calling.

Last year, 50% of all of our qualified opps came from cold calling. 

Keep it simple.

First, get yourself a proper data provider for cold calls so you actually get connects. 

FullEnrich has been an absolute CHEAT code for us with their 20-provider waterfall. 

They now also have amazing search functionality directly in the platform so you can build proper lists. 

Then, I break this down into 3 parts (here's an example):

1️⃣ Permission Based Opener

Hey this is {NAME}, I was actually just on the customer tab on your website at
{ACCOUNT}, and had a question. Do you have a sec?

2️⃣ Menu of Pain (most important part)

Noticed you are selling to accounts like {ACCOUNT}. Typically when I talk to SDR leaders at commercial open source companies, they’re focused on one of these three things:

1. Your SDRs see tons of developer engagement but struggle to identify which users are actually ready for a sales conversation.

2. Your team relies on community signals, but it’s hard to surface and action on real buying intent.

3. SDRs waste time digging through GitHub, Slack, forums, and LinkedIn instead of working on the right leads.

3️⃣ Open Ended Question

How are you making sure your SDRs are focusing on in-market leads?

-----

I like the menu of pain, because if done correctly and the messaging is tight, at least one of the 3 challenges is something they are likely thinking about.

This then opens the conversation.

3 days left this week. Let's get it 🫡

#FullEnrichPartner

No alternative text description for this image

How do you feel about this take GTM leaders? 

To me it comes across as a take from somebody who doesn’t fully understand GTM. 

Sure, there are a lot of incredible things AI can do to automate TAM building, lead scoring, account research, funnel optimization etc. 

But GTM is also still one of the professions that is still deeply human. 

I doubt this person has spent a lot of time making cold calls, on demos, meeting clients in person etc. 

If you believe this, you essentially believe that robots will be selling to each other only in the near future. 

No offense to you Jay Sahnan. I respect the opinion and it’s a good discussion 🙏🏻

graphical user interface, text, application

We talk about “GTM Engineering” and “Revenue Orchestration” but how does it apply to outbound? 

Here’s how you tactically execute a strategy at scale using signal data. 

Now we have the ability to capture 100+ signals at a time, transform the data and tell us which leads are the lowest hanging fruit.

That’s a HUGE amount of context for sales reps to have in one place and it means that we can now get HYPER-specific with our messaging and sequences.

Each signal that is important to your organization should have its own purpose, messaging, and sequence built out.

Step 1: Write down all the signals that you currently have access to at your organization. 

There are standard signals everybody can use (I.e. web visits) but also very specific signals to your org (I.e. software outages for an outage tracking product) 

Step 2a: Map out where each signal implies a lead is in the buyer journey

Look at the image below. You can see that a signal and therefore message has to adapt to where somebody is in the BUYER JOURNEY.

Step 2b: Create a lead-scoring system that takes into account which signals (or combination of signals) tend to imply that an individual and account is ready to buy or at least talk to sales. 

This usually happens when they are in the “Solution Aware” and “Product Aware” stage.

Step 2c: Cross reference these leads with your account level- ICP criteria. 

Not all leads that exhibit buying behavior work at accounts that are good fits for your business. (THIS IS CRUCIAL). 

Step 3: Create messaging (i.e. email campaigns, outbound sequences etc.) for each signal.

You can get even more complex here and create messaging or sequences for combinations of signals.

Step 4: Set up alerts and workflows so that if a lead provides a certain signal or hits a certain threshold they get put into the respective “campaign”.

There are many platforms to do this in… Common Room, Clay etc. 

THREE OTHER THINGS TO CONSIDER:

1. Top of funnel leads that aren’t ready to talk to sales go in automated sequences that are more focused on education (this can either be done by marketing or SDRs)

2. Mid-to-Bottom of funnel leads are sent to the sales team and are put into the appropriate sequences (emails + call scripts + LinkedIn message templates are already built out by the team). It is up to the SDRs/AEs here to do additional research and tie your product's value to your prospect’s strategic priorities.

3. Consider the size of the account and the number of owners on the buying committee. Start multithreading into the various decision makers/economic buyers who will influence your deal so you establish momentum early.

(h/t FletchPMM  for the great visual)

#sales #outbound

There is a very simple but important question that most sales reps miss when they are selling to GTM leaders . 

And I say this from experience as somebody that buys software. 

Put simply: 

“Is your team hitting their number…What % of attainment is your team at?” 

The harsh reality is that unless you are a SVP/EVP/C-Level exec with long term incentives, the average GTM leader doesn’t really care to change much if things are working well. It’s a massive uphill battle to sell to a leader that is crushing. 

Even most VP, Sales are just trying to survive next quarter. 

It’s very difficult to sell somebody the “future” if they are at 110% of quota as a team and in accelerators. 

Saves you a lot of time as a rep. 

Just what I’ve seen over the last decade. 

Thoughts?

LinkedIn and X seem to be an echo chamber of Claude AI workflow hype beasts. 

Don't get me wrong, I think all of these AI agents are awesome and I see the potential. 

But curious to see from my network... who is actually finding real value with them today? 

What have you built and what has the impact ACTUALLY been? 

I saw some interesting examples of: 

1. Sales Demo Closed Lost Analysis 

Analyzing calls and extracting the reasons why the team is losing deals

2. Product Feedback 

Analyzing calls and pushing product gaps to the engineering & product teams in real time 

3. Intent Signal Agent 

Built a custom agent tracking 100s of first party data and creating the first draft of messaging for reps based on the signals 

4. Account Research

Doing the manual work an AE would usually spend 15 mins doing before a call and building a custom 1-page summary of an account and what to focus on during the next call 

#sales #outbound #ai

Lead generation for B2B with cold email | Clay [Club] lead in Bucharest | GTM advisor

Great sales expertise in software sales, mostly in marketing and financial tech. Been working with different industries including retail, construction, furniture, agriculture, and horeca.

Building exceptional knowledge and relationships in those industries.

Well-versed in managing the full sales cycle. Most frequent persona: C-level, VP, Directors, and managers.

Great listening skills, empathic and a natural problem solver. Customer obsessed.
10+ years of experience in building relationships with cross-functional colleagues on internal or external teams

Alex Baldovin

I served 60+ companies without a team before I made the 1st hire.

All because I wanted to map the workflows + my logic and turn Claude into my mastermind partner.

And boy, I feed it everything.

My capabilities + Offers → My competitors → My customer data → Market insights → Automation workflows → Client offers → Ideation workflows → Then I ask it to challenge my thinking

So, what did i do?

I created templates for ICP validation, offer positioning, and systems integration planning. 

Each prompt includes:
→ my customer patterns → industry context → success metrics.

Now, when I'm deciding whether to add a new service or optimize a workflow, I run it through Claude first. It spots gaps I miss and asks questions I should be asking.

So next time you're making a GTM call, remember AI works best as a thinking partner, not a task executor.

And this is just the beginning.

When you start:

1. Building skills
2. Using the mcp servers
3. Creating agents in claude code

Claude gets powerful really fast.

Have you used it better? How should I improve?

A founder booked a call with me last week.

First thing he said: "I don't know how you got on my feed, but I've been reading your posts for 3 months."

He'd already decided before we spoke.

I'm a GTM Engineer. I build the testing infrastructure companies use before they scale outbound. 

But my own pipeline runs on content 90% of the time.

That call made me map out exactly how he got there.

He didn't just "see a post and reach out." He moved through five distinct stages → and my content pulled him forward

Stage 1: Discovery

→ He had no idea I existed. A post showed up in his feed. The hook was specific enough that he stopped. That's the only job here: earn the follow from a complete stranger.

Stage 2: Engagement

→ He started saving posts. Coming back. Never commented, never liked. Just watching. Trust was building in the background while I had no idea he existed.

Stage 3: Intent

→ He visited my profile. Read old posts. Checked my featured section. By this point, my content had already answered his biggest objections. Without a single conversation.

Stage 4: Conversion

→ He booked the call warm. Already sold on the approach. We spent 20 minutes on fit, not persuasion.

Stage 5: Loyalty

→ Still ongoing. But he's already referred one person into my pipeline.

Most people treat LinkedIn like a cold channel.

Push the product. Drive to a CTA. Wonder why nobody converts.

The buyers who actually close don't get sold to. 

They get guided → post by post → until booking a call feels like the obvious next move.

The full breakdown is in the infographic below.

"Do not be afraid; only believe."
Marc 5:26

This is your sign. God is with you. 

You just have to believe.

If God removed every blessing in your life

Would you still love Him?

Or do you love what He gives?

It's easy to worship when:

Prayers are answered 
When doors open
Life feels smooth

But faith is tested when the blessings pause.

When silence stretches. 
When nothing changes.

Job lost everything. 
Family, wealth, security.

Yet he said: "The Lord gave, and the Lord has taken away". Real devotion isn't built on outcomes, It's built on conviction.

Many love the gifts, but few love the Giver. 

If your faith survives only when life is good, it isn't faith. It's convenience.

God blessed me with rock bottom about 5 years ago. 

And today, He blessed me with incredible success.

So here's a reminder I want you to know today:

Those who leave everything in God's hands
will eventually see God's hands in everything.

3 years ago, I started my business because I no longer felt safe.

The job market was broken then, and even worse today.

AI is replacing entry-level roles faster than we can train for them.

And even if you land a job? The average tenure is now 3 years.

You're expendable. Replaceable. A line item on a spreadsheet.

I spent 8+ years climbing the corporate ladder in software sales.

Hit quota. Closed deals. Played the game.

But I watched colleagues get let go after stellar years.

I saw positions eliminated overnight. Departments restructured without warning.

The message was clear: your security is an illusion.

So I had a choice.

Keep trading time for money in a system designed to replace me.

Or build something I controlled.

Before I registered my GTM agency, I prayed.

I asked God if this was my path.

The peace I felt wasn't loud. It wasn't dramatic.

But it was clear.

That confirmation gave me the courage to leave stability behind.

Here's what I did:

1. Audited my skills: 10+ years in sales, lead gen, and GTM systems gave me a foundation.

2. Identified the gap: Companies were buying tools but couldn't connect them. That became my offer.

3. Built systems first: I documented processes before I had clients. Clay + HubSpot + analytics became my core stack.

4. Started serving: I took on my first 3 clients on Upwork before I quit. Proof of concept mattered.

5. Scaled through automation: I automated what I could, outsourced what I couldn't, and focused on high-value work.

Faith doesn't eliminate the work.

It eliminates the doubt.

Today, I serve 60+ customers while maintaining location independence.

Not because I had it all figured out.

But because I refused to let a broken system dictate my ceiling.

The job market won't save you.

But your skills, systems, and faith in yourself can.

PS: I'm building a program to help people in similar situations launch a profitable business in 90 days.

Comment "Profitable" and let's have a chat.

This week i had a couple chats with founders running outbound.

Sending emails. Consistently. Putting in the work.

But when I asked what their stack looked - all of them said:

"Apollo for lists. HubSpot for sequences."

That's 84% of companies doing cold outreach right now.

Same tools. Same lists. Same inbox. Same flat reply rates.

I told them : “the problem isn't the copy. It's that your setup is identical to everyone your prospect is already ignoring.”

Here's what separates each level:

~84% — @Apollo + HubSpot One domain.

→ No warmup.
→ Pulling lists by demographics.
→ Sending the same sequence to everyone.
→ No visibility into variables, A/B tests, deliverability

~10% — Multiple mailboxes

→ Using Zapmail, Inboxkit, Maildoso for infra
→ Using Prospeo,  Ocean.io, and Apollo for data
→ Using Instantly.ai, Smartlead to send emails
→ Matching signals + demographics for better targeting



~4% — Using Clay / Claude 

This is where it shifts.

→ Multi-layer data imports and validation systems
→ AI-Researched data for targeting accuracy
→ AI-Generated custom messaging for relevance
→ Waterfall enrichment using 8+ tools

~2% — Full GTM orchestration

This is for the elite

→ All of the above + Inbound-led outbound systems
→ Traced performance from message variant - closed revenue
→ Do-Not-Contact and Masterlist de-dupe and sync to CRM
→ Automated frameworks for minimum management
→ Using tools like

Trigify.io, Extrovert - Social media intent tracking
Amplemarket HQ - Data + linkedin + email automation
n8n, Claude Code - Automatiom + Agentic work
Supabase - Data storage and orchestration
Serper.dev + Custom scrapers - Niched repositories
Warmly, - Inbound tracking + GTM orchestration

He looked at his setup and said "I'm in that first bucket aren't I."

Yeah. Most people are.

Cold outreach doesn't stop working. It stops working when your infrastructure looks like everyone else's.

And here’s the good part:

You can skip the line directly to the 1% group if you hire a GTM agency, willing to train you and your team.

DM me to change that.

Last month I had no idea what I was doing on LinkedIn. But last week, my posts got more saves than likes. And more leads too

Here's what changed:

I started applying common sense to my own analytics. Turns out every metric is a diagnostic.

Each number is telling you exactly what broke:

Let's break them down ↓

Low impressions → weak hook. 
Low likes → no emotion triggered. 
Low comments → not thought-provoking. 
Low sends → not relatable enough.
Low saves → not valuable enough.

Miss all five? Your warmest connections scrolled past and the algorithm buried it completely.

Let's say you're posting about outbound strategy: zoom out. 

Ask yourself: 

1. Does this post solve a problem my ICP will face repeatedly? Make sure it contains something reusable (a checklist, a framework, a diagnostic, a template).

2. What should I actually be optimizing for?
The bar is low. Most posts are either AI-generated or purely opinion with nothing actionable underneath.

There are 3 types of posts that consistently drive saves:

→ A lived client moment + the exact framework used to fix it
→ A step-by-step breakdown that someone can execute themselves
→ A common belief challenged with a specific counter-example or real data

It's just me sharing what I actually do. Not what sounds good in theory.

Repeat this for a few weeks, and your analytics start telling a completely different story.

In my experience, saves matter more than any other metric. They're the signal that you gave someone something worth keeping.

If your goal is to turn content into pipeline, here's the mix that works:

→ Post content that teaches your ICP something they'll actually use
→ Write hooks specific enough that strangers stop scrolling 
→ End every post with something worth debating or acting on 

Treat it like an infinite feedback loop.

PS. Likes feel good, but they don't compound. Saves do.

taplio

The Battle

Florin Tatulea

Alex Baldovin

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taplio

The Battle

Florin Tatulea

Alex Baldovin

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);}Florin Tatulea's LinkedIn Performance

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