Jonathan Moss

Turning GTM into a revenue factory through recurring impact & helping GTM leaders do the same | GTM Executive leveraging AI ✨ | Keynote Speaker & Advisor | Podcast 🎙️ Host |

I created the Revenue Nervous System™ a framework for building intelligent, self-improving growth engines that learn, adapt, and scale. The IMPACT+ Framework™ is how you implement it: a structured approach for embedding AI across the revenue lifecycle and turning strategy into execution.

I help Founders, Business Executives and Go-to-Market leaders transition to AI-native GTM and architect Agentic Growth Systems that eliminate friction and turn AI into measurable performance outcomes across their business.

At Experity, I serve as EVP & GM for Patient Engagement and Care Agent, the industry's first AI-native clinical intelligence platform. We're transforming how urgent care connects with patients through a multi-agent system that automates communication, personalizes engagement, and unifies clinical + commercial workflows across 3,000+ clinics.

Think of it as the Orchestration and Routing Layer for Healthcare: where data, context, and intelligence finally work together.

Beyond Experity, I work with founders, executive teams, and AI-native startups on growth architecture, GTM execution, and multi-agent system design.

Quick professional stats:
→ 87% median growth rate across all of my roles
→ $1B+ capital raised across portfolios
→ Scaled revenue $0 → $15B
→ Backed by Sequoia, Lightspeed, GTCR, Warburg Pincus, SoftBank

Core expertise: Revenue Nervous System™ | IMPACT+ Framework™ | Agentic AI Growth Strategy | AI-Native GTM | Patient Experience & Healthcare AI

Executive Member

Sprouts.ai named some amazing people and somehow I was included in the top 20 GTM Leaders to Watch in 2026.
 
Grateful. Also a little on the hook now.
 
Because if there's one thing I'm convinced of heading into this year, it's that the GTM leaders worth watching won't be the ones with the most tools, the most initiatives, or the loudest voices.
 
They'll be the ones who figured out how to build systems that actually compound.
 
Here's what I keep seeing: teams stall out not because they lack effort, but because they're running on architecture that was never designed for how buying actually works today.
 
Buyers are more informed. Cycles are less predictable. AI is raising the output bar for everyone.
 
In that environment, staying busy is easy. Knowing what matters is hard.
 
What I've found is that most GTM breakdowns trace back to the same root cause: the system doesn't remember, doesn't learn, and doesn't coordinate in real time.
 
You fix ICP in January. By March, the signal has shifted and nobody updated the model.
 
You run a feedback loop between sales and marketing. But nothing gets captured, so the same mistakes repeat six months later.
 
You add an AI tool. But it's bolted onto a broken process, so you get faster noise instead of better decisions.
 
The teams winning in 2026 aren't just using AI differently. 

They're building differently, around layers of intelligence that compound over time instead of resetting every quarter.
 
Clear context. Institutional memory. Coordinated execution. AI that amplifies judgment instead of replacing it.
 
That's the work. And honestly, it's still early enough that the teams who start now will have a gap that's very hard to close later.
 
Grateful to be in a community of operators who are helping make sense of the GTM foundations, what is working on the "field" and how to manage this transition into the AI-era. 

Some of my good friends Elizabeth McCalley.eth 🦋, Koen Stam 🐰 Jen Igartua, Stephanie Valenti, Steph Reck ⚓, Dale Zwizinski, Sophie Buonassisi ,Sarah Allen-Short, Kiva Kolstein 
 
Strong company to be in.
 
If you're building GTM for 2026, make sure you to follow these great leaders and tell us what is on your mind.

EVP @ Experity | AI-Native GTM Architect | Revenue Nervous System™ | Care Agent | Healthcare AI

Anthropic published new research last week that should change how every GTM leader thinks about their headcount plan.
 
Not "AI might affect jobs someday." Right now. Today.
 
The paper introduces something called "Observed Exposure" 

Combining what LLMs can actually do with how Claude is being used in real work, weighted toward tasks that can be automated. 

Then mapping that against what specific jobs require people to do all day.
 
The GTM numbers:
 
→ Customer service reps: 70.1% AI exposure 
→ Market research analysts: 64.8% 
→ Sales reps: 62.8%
 
That's not theoretical capability. 

That's real-world deployment, mapped against what sales reps actually do all day. Today.
 
But here's the part nobody's talking about.
 
For computer and math roles, AI theoretically can handle 94% of tasks. 

Real-world observed deployment? 33%. That's a 61-point gap sitting there, untapped.
 
That 61-point gap belongs to someone. 

The question is whether you're the one closing it or the one getting closed on.
 
There's another finding buried in the BLS data overlay: for every 10 percentage point increase in AI exposure, employment in that occupation is projected to grow 0.6 points less through 2034.
 
Sounds small. Run it across your entire revenue org and it isn't.
 
But here's what actually surprised me: companies aren't doing layoffs. 

They're doing something quieter. Not backfilling roles. Not approving the next SDR class. 

Running the same RevOps team for three years instead of growing it. 

Letting attrition do the work that announcements would make public.
 
That's how structural labor market shifts actually happen. Not with a headline. With a headcount plan that never gets approved.
  
The GTM leaders getting ahead of this aren't asking "can AI help my team be more productive?" 

They're asking: "What does this role need to look like if AI handles [X] at scale?"
 
Different question. Different answer.

Most GTM awards celebrate the big number.
 
The quarter you 3x'd pipeline. The campaign that went viral. The deal that saved the year.
 
But here's the thing nobody talks about — big numbers built on shaky systems don't compound. They collapse.
 
I've watched it happen more times than I can count across 21+ years of scaling companies. A team absolutely crushes a quarter, leadership throws a party, and six months later they're trying to figure out why the machine stopped working. 

Turns out there was no machine. Just a bunch of really talented people grinding really hard.
 
That's exactly why I'm proud to be on the judging panel for the Winning by Design Growth Awards at Impact Summit 2026.
 
Because this isn't that kind of award.
 
Three categories. Each one matters.
 
→ 𝗕𝗼𝘄𝘁𝗶𝗲 𝗳𝗼𝗿 𝗚𝗿𝗼𝘄𝘁𝗵 𝗠𝗼𝗺𝗲𝗻𝘁𝘂𝗺 — recognizes leaders who've built across the full customer journey. Acquisition, onboarding, retention, expansion. Not optimized one piece while the rest leaks.
 
→ 𝗦𝗣𝗜𝗖𝗘𝗗 𝗳𝗼𝗿 𝗚𝗿𝗼𝘄𝘁𝗵 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻 — for operators who've made their teams faster 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 making them sloppier. Velocity from alignment, not from pressure.
 
→ 𝗔𝗜 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗼𝗿 — this one's close to my heart. Not for teams that "use AI." For leaders who've embedded it into the operating logic of how they grow. AI with intent, not AI as a checkbox.
 
The judges? Jacco van der Kooij. Kyle Norton. Sydney Sloan. Jared Brickman. And me somehow.

Leaders who've actually built and scaled systems at this level.
 
We're not looking for a good story. We want evidence. Before-and-after benchmarks. Real metrics. What actually changed and why it held.
 
𝗡𝗼𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀 𝗰𝗹𝗼𝘀𝗲 𝗠𝗮𝗿𝗰𝗵 𝟭𝟴𝘁𝗵.
 
If you're a GTM leader who's done the hard, quiet, unsexy work of building growth infrastructure that compounds — or you know someone who has — this is for you.
 
Not for the headline. For the system behind it.
 
👉 Link in the comments to nominate.
 
Who in your network has built growth the 𝘳𝘪𝘨𝘩𝘵 way this year? Tag them below — they deserve the recognition.

Google's VP of Startups just said the quiet part out loud.

LLM wrappers and AI aggregators have their "check engine light" on.

I've been saying this for months. But hearing Darren Mowry from Google Cloud put it that bluntly? That hits different.

Here's what he means: if your entire AI startup is a nice UI sitting on top of GPT or Claude, you're toast. 

The model providers are coming for your lunch. They always were.

The startups that survive? They have vertical depth. 

Cursor doesn't just "use" AI—it understands how developers actually write code. 

Harvey AI doesn't just "chat"—it knows how law firms think about case research.

I've spent the last year building AI-native GTM systems. Not wrappers. Not aggregators. Systems where AI agents run actual operations—prospecting, content, competitive intelligence, pipeline management.

And the difference is night and day.

A wrapper adds a step. An operations-native system removes twelve.

The moat was never the model. It was never the prompt engineering. It's the workflow. 

It's understanding—really understanding—how a specific type of work actually gets done, and then building intelligence into that process.

After 21+ years of scaling operations, I can tell you: this is the same pattern every technology wave follows. The shiny demo phase dies. The "actually runs my business" phase lives.

We're entering that second phase right now.

If you're building on AI, ask yourself: would your product survive if the underlying model got 10x better and the provider launched their own version of your feature?

If the answer is no, that check engine light is for you.

IYKYK - you just need a microphone and this new keyboard.

A common question I get: "what is the difference between a Skill and an Agent?" 

I have built 80+ AI agents for Business across GTM, Product, Engineering, etc. 

I built a guide to help - comment and I will send it to you.. ok back to the program..
 
Agents are like employees in departments: Sales, Marketing, CS. 

Vertical. Domain-specific. They own a function and make decisions.
 
Skills are like apps those employees use: horizontal, reusable across departments, any agent can pick them up.
 
Tools let agents act. 

Skills provide the knowledge of how and when to act: including your company-specific context.
 
That last part is the whole game.
 
Because raw capability is not competence.
 
Your AI can call APIs, analyze data, generate content, and orchestrate workflows. 

That's capability. 

But does it know your team's specific 8-step deal qualification process? 

Does it know anything over $50K hits Deal Desk? 

Does it know the naming conventions, the approval chains, the compliance requirements?
 
That's competence. And that's what skills provide.
 
The architecture is elegant:
 
• Agents carry full context constantly (expensive, bloated)
• Skills load progressively — metadata at startup (~100 tokens), full instructions when activated, resources only when needed
• One skill serves many agents
• Agents call skills. Skills can invoke agents. Bidirectional.
 
No single agent carries all that procedural knowledge. They just know what skills exist and call them when needed.
 
If you're building simple bots, tools are enough. 

If you're building digital employees, you need skills. 

The bottleneck is never whether the agent can perform an action. 

It's whether the agent knows YOUR specific process for performing it correctly.
 
Agents are the who. Skills are the how.
 
Stop building capable agents. Start building competent ones.
 
What's the biggest gap between what your AI agents can do and what they actually do well? Drop it below.

The opportunity is massive for the builders of agents in back office, GTM and may other places in business. 

Gonna be a fun next couple of years! 

Let’s cook! 👨‍🍳

A CEO told me last week he'd never tried Claude Code.
 
"That's for technical people, right?"
 
He uses AI every day. And he's been scrolling past the most powerful tool in his stack because of how it was positioned.
 
He's not alone. I hear this from revenue leaders, ops executives, and founders constantly.
 
I put an operator's guide together - let me know if you want it. 

Let me tackle this directly. 
 
Claude Code is not a code editor. It's an AI operating system.
 
The terminal is just where you type. That's it. 

Just like you type a text message to your friends or loved ones. 
 
Here's the mental model I use to explain the difference between Code and Cowork:
 
𝗖𝗼𝘄𝗼𝗿𝗸 is a smart contractor you hire for a day. They do great work. They leave. Next session, you re-explain everything from scratch.
 
𝗖𝗼𝗱𝗲 is a full-time operator who sits at your desk every day. They remember everything. They build systems. They get better over time. Every session starts where the last one ended.
 
Same model underneath. Completely different relationship.
 
Four things make Code different. None of them require writing code.
 
1. CLAUDE.md = Your Business Operating System
  
In Cowork, every session resets. You re-explain. You re-upload. You re-establish context.
 
In Code, it's architecturally guaranteed to load. The compound effect over months is significant.
 
2. Named Agents = Your AI Team
 
Cowork sub-agents are ephemeral — one task, then gone.
 
In Code, you build agent specs. Your CMO agent knows your positioning. Your Competitive Intel agent knows your rivals and preferred format. You build it once. You refine it over time.
 
I run 90+ agents. When I need a competitive battlecard, the agent already knows everything. What used to take an hour takes 7 minutes.
 
3. Your File System Is Already There
 
Cowork works in a sandbox. Code works in your actual world.
 
"Read the pipeline export in Downloads and tell me which deals are at risk this quarter."
 
You type that. It reads it. No upload prep. No copy-paste. No re-explaining where things live.
 
This sounds minor until you've done the upload dance three times in one week.
 
4. Automation That Actually Runs
 
Cowork's scheduled tasks are beta and unreliable right now. They work sometimes. You can't build a business process on "sometimes."
 
Code supports hooks, cron jobs, and full automation pipelines. 

Things I have running in production today:
 
→ Daily competitive monitoring that flags pricing changes 
→ Automated content pipeline: research → draft → review 
→ Weekly research digests from 10+ sources synthesized automatically 
→ Pipeline health alerts triggered by CRM events
 
None of those required writing code. They required describing what I wanted.
 
"But I'm not technical"
 
This isn't either/or. 

I use Cowork for quick documents and one-off tasks. 

I use Code as the operating system underneath — context, agents, automation, memory.

What Cassie Young said! 

When she talks you should 👂! 👇

Partner at Primary Venture Partners, Seasoned Enterprise CRO/CCO

🌶️🌶️ CROs, there's a GTM reckoning coming for the board room. Your board members are done rewarding your AI experimentation efforts.🌶️🌶️

The efficiency gains of the last two years were a half-truth. Sure, you trimmed the fat, but the GTM engine has been atrophying for most companies.
Here's the cold hard truth: GTM inefficiencies used to hide behind 80% SaaS margins but in the age of AI, there is nowhere left to hide. As AI compute costs eat into gross margins, you can no longer afford higher operating expenses.

In 2026 Boards will stop rewarding AI experimentation and start demanding P&L impact through the PRIME framework:
⚙️ Productivity: Is ARR/revenue per GTM head actually climbing?
📈 Retention: Are AI investments moving the needle on GRR/NRR?
💲 Investment Efficiency: Why is CAC payback still stuck at ~16 months?
🪴 Momentum: Is growth predictable and coming from a healthy mix of new and existing?
⬇️ Expense Reduction: Have you actually eliminated labor or software costs?

Most CROs use AI for "marginal gains"—better meeting summaries or slightly faster cycle times. That won't save your P&L. The winners are thinking transformationally:

🟢 Jeanne DeWitt Grosser's team at Vercel replaced a 10-person inbound SDR team with one "Lead Agent"
🟢 Kyle Norton's team at Owner.com 2x'ed productivity per rep with their AI operating system
🟢 Matt Braley’s team at EliseAI had three AEs close $50M in new ARR by supercharging their talent with AI infrastructure
🟢 Amanda Kahlow and the 1mind team use the same AI Superhumans they sell to fuel their own growth, comfortably surpassing the age-old T2D3 growth thresholds with a <6-month CAC payback

PRIME has become our non-negotiable for GTM investing, and it needs to be yours for GTM operating. Are you ready to be held accountable for the P&L? 👀👀

Spent an hour watching 🚀 Victor Adefuye run 3 crazy workflows in Claude Cowork and its freakin rad. 

Want to see it? Comment below.

Victor has been in GTM enablement for over a decade. 5 years as an MD at Winning by Design. 

Teaching reps how to write emails, run discovery, execute MEDDPICC. 

The guy knows what "good" looks like better than almost anyone.Then Cowork dropped. 

And he turned 10 years of enablement IP into AI agents.

Here's what he showed my man Jonathan M Kvarfordt, MBA live on the GTM AI Podcast .

He pointed Cowork at 360 conference leads and typed 3 sentences. Cowork spun up 15 parallel sub-agents. 

Each one independently researched a company, scored it against his ICP, and wrote personalized nurture emails that pulled from his 110-page content library. Matched by pain point.

He fed 7 sales calls into a folder. A custom MEDDPICC skill scored every single one in parallel. Individual scorecards with direct quotes and timestamps. 

Then a synthesis agent rolled up a team-wide gap analysis showing exactly where reps were weak: economic buyer, champion development, paper process.

And then came the one that broke my brain.

Victor is NOT a developer. Never has been. 

But in 2 weeks he built 7 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺 automations by having a conversation with Cowork. 

It opened Make in his browser. Selected the modules. Configured connections. Wrote the prompts. One automation finds newly hired CROs every week and builds drip campaigns off the trigger. Built through chat.

He said something I can't stop thinking about: "The same training I used to give to humans and hope they would remember, I now give to AI. It's more reliable.

"That's the whole game right there. Your enablement playbook IS your AI moat. The people who spent years defining what good looks like are now the most dangerous builders in the room.

Stop prompting. Start packaging your expertise.

All 3 workflows are broken down step-by-step in my latest newsletter. Full playbook. Skill templates. MEDDPICC scoring rubrics. 

Everything you need to build these yourself this week.

Want to see it in action and get the full playbook?

-Like this post--Comment "Cowork Playbook"---Repost if you know a GTM leader who needs this

Or get it here: 𝗵𝘁𝘁𝗽𝘀://𝗹𝗻𝗸𝗱.𝗶𝗻/𝗴𝗚𝗰𝗷𝗤𝗸𝗝𝗱

Enjoy!

Enterprise AI adoption just jumped 7x in a single quarter.
 
Not 7%. Seven times.
 
JPMorgan Chase is producing investment banking decks with AI agents in 30 seconds. 

BMW is running multi-agent systems across manufacturing plants—not as a pilot. In production.
 
The chatbot era is over. Most people just haven't noticed yet.
 
Multi-agent setups handling competitive intel, content, pipeline research, and prospect analysis—coordinated, not siloed. 

And here's the thing nobody talks about in the breathless coverage:
 
The hardest part has never been the technology.
 
It's always the humans.
 
A YC startup called Trace just raised $3M on exactly this insight. Their data shows 2-3x higher agent utilization when teams design the human-AI handoff intentionally.
 
I've seen this same movie. CRM. Marketing automation. Cloud. Analytics. 

The tech always works. The org is always the bottleneck.
 
Three things I've learned the hard way building these systems:
 
→ Start with the workflow, not the tool. Map the actual process step-by-step. Find where a human adds the least value. That's where your agent goes.
 
→ Graduated autonomy is mandatory. Draft before publish. Recommend before decide. Flag before act. The leash gets longer as trust builds. Skip this step and you break things. (Ask me how I know.)
 
→ The real metric isn't task completion. It's time-to-decision. My agent system doesn't replace strategic analysis—it eliminates the 4-6 hours of research that used to happen before the analysis. The human still decides. Just faster, with better inputs.
 
Gartner says 40% of enterprise apps will have embedded AI agents by end of 2026. 

In September 2025, that number was 5%.
 
The companies that spent 2025 experimenting are now operationalizing. 

The companies that spent 2025 watching are now scrambling.
 
That gap compounds every quarter.
 
What's your first workflow you'd hand to an agent?

What would you attempt to do if you knew you would not fail?

Important question to ask yourself especially with all the opportunity right now. 

State your goal, go achieve it. 

Regardless of the outcome you have succeeded. 

The outcome is always learning, experience, connections, and many things you would have never accomplished without going for it.

AI has changed from a chat back and forth to a coworker.. catch up on everything that happened this week 👇

Open article: The Week AI Became Your Coworker by open.substack.com

View newsletter: GTM AI Podcast & Newsletter

Open article: 3/6/26: This Founder Tried Every AI SDR. They All Failed. What He Built Instead Converts at 90% Open Rates. by Jonathan M Kvarfordt, MBA • 4 min read

3/6/26: This Founder Tried Every AI SDR. They All Failed. What He Built Instead Converts at 90% Open Rates.

They said ideas are cheap and execution is king. AI has flipped that for the most part.

OpenAI is a $730 billion company doing what every $730 billion company eventually does.
 
Abandoning the product that made it famous to protect the product that actually makes money.
 
ChatGPT's web traffic share dropped from 86.7% to 64.5% in twelve months. 

Google Gemini went from 5.7% to 21.5% over the same period. 

DeepSeek is matching GPT-5 performance at 1/30th the cost.
 
When the commodity version of your product is 97% as good and nearly free, you don't have a product problem. 

You have a business model problem.
 
Meanwhile, the numbers on the enterprise side are going in the opposite direction:
 
→ Codex crossed 1.5M weekly active users with 20x growth since August 2025 
→ Enterprise seats grew 9x year over year 
→ 92% of Fortune 500 companies are using ChatGPT products
 
Revenue per enterprise user dwarfs consumer subscriptions. 

Switching costs are orders of magnitude higher. 

And the customer who has Codex embedded in their engineering workflow doesn't cancel because a cheaper model exists.
 
Fidji Simo ran Instacart. She's been inside brutal unit economics, where every order can lose money if you're not obsessive about the math. She knows exactly what "the consumer unit economics are breaking" looks like from the inside.
 
So she told the all-hands: stop chasing side quests. Go win where it matters.
 
That's the right call. But it comes with a sentence nobody's saying:
 
OpenAI's $280 billion revenue target by 2030 requires consumer subscriptions at $20/month to become the foundation of an enterprise infrastructure play. 

Those are different companies. 

The mission was AGI for humanity. 

The strategy is Codex for Fortune 500 engineering teams.
 
You can run both narratives for a while. Eventually the spreadsheet picks one.
 
The interesting question isn't whether enterprise AI is the better business (it obviously is).
 
It's whether OpenAI gets there before Anthropic locks up enough Fortune 500 contracts to make the race irrelevant against a projected $143 billion in cumulative losses and a market that's compressing faster than anyone expected.
 
That's not a rhetorical question. It's the actual race.

CEO @GTM Partners | WSJ best selling Author of MOVE | Co-founder @Terminus @Peak Community

10 years ago, found my true passion: Teaching.

1️⃣ Teaching business – How to build and scale companies.
2️⃣ Teaching leadership – How to align teams for success.
3️⃣ Teaching life – Because business without purpose is empty.

That’s why I combine them all to teach the business of Go-To-Market, leadership, and life.

Built and exited two well known companies (Pardot → Salesforce $2.7B, Terminus → acquired twice).
Written 3 books, including WSJ bestseller MOVE: The 4-Question Go-To-Market Framework.
Created the GTM Operating System, now used by thousands.
Hosted 1,000+ podcast episodes on GTM Made Simple.
Taught 70,000+ students through my LinkedIn courses.

I write daily on LinkedIn around the five core truths about Go-To-Market:

🚀 Trust in NRR.
🚀 CEO owns GTM.
🚀 Systems > Goals.
🚀 GTM is a transformation process.
🚀 Business transformation happens in teams.

175K+ people read my weekly research note on GTM: https://gtmonday.substack.com/
11K+ subscribers follow my personal insights: https://becomingintentional.substack.com/
To Book me for speaking, keynotes: https://sangramhere.com/

I’m on a mission to make Go-To-Market simple—for CEOs, founders, and teams. If you want to bring clarity, alignment, and trust to grow your business, let's talk.

Join my MOVE book companion course for CEOs, founders and GTM leaders 
and GTM Operating System Course (Used in two $100M+ exits, rated 4.5/5 stars

DM me. Let’s build something great—intentionally. Join the MOVEment!

Sangram Vajre

my 15-year-old just closed a $300 deal + $50/month retainer.

here's how it happened.

i told him early on: we'll pay for tennis shoes, rackets, training. but food with friends? you gotta earn that.

when he was younger, we paid him for reading books. never for chores. chores are just part of being in a family.

now at 15, time to level up.

so he went to his tennis coach and asked a simple question: "what do you need help with?"

turns out they run Facebook ads and get about 15 leads a day. but no one has time to call them back quickly.

he said: "i'll call every lead as soon as they click."

now he's learning FB ads. learning CRM. learning follow-up.

$300 to set it up. $50/month to keep it running.

honestly... i'm starting to wonder if college is even the move. or if he should just keep building this.

but here's what i know for sure:

the right kind of pressure makes kids think outside the box.

not pressure to be perfect. pressure to figure it out.

my wife gave me that same gift in 2014 when she said "you have 1 year make your business work or you need to get a real job."

that led me to build Terminus (by DemandScience) to incredible heights and now i am doing the same with GTM Partners.

it's time to pass on the "healthy" pressure and see what happens next.

how are you teaching your kids about money and work?

love,
sangram

Built two $100M+ companies | WSJ Best Selling Author of MOVE on go-to-market | GTMonday Editor with 175K+ subscribers teaching the GTM Operating System

in 2014, i asked my wife if i could quit Salesforce and start a company.

we had debt, no savings, and a second kid on the way.

she didn't say no.

but she didn't say yes either.

after a week of back and forth, she said 3 things that changed my life:

1. "i don't want you to have any regrets—or me stopping you."

2. "i'll get a job so we can pay the mortgage and keep going."

3. "you have 1 year. make the business work or find a real job."

she handed me permission and pressure at the same time.

that lit a fire i didn't know i had.

in the next 12 months:

→ we built Terminus (by DemandScience) from $0 to $1M ARR in 9 months
→ created the ABM category
→ launched 4 FlipMyFunnel events
→ started a daily FlipMyFunnel podcast
→ wrote ABM for Dummies

all because she believed in me enough to bet on me—and loved me enough to give me a deadline.

today, as a 2x entrepreneur, here's what i know:

the people who change your life aren't always the ones who say "you can do it."

sometimes they're the ones who say "you have 1 year. prove it."

who believed in you before you believed in yourself?

love,
sangram
p.s. if you've been in GTM at a corporate for 10+ years, it's 10x easier today than it was for me in 2014 to launch your own thing. do it.

i asked 1,500 people at a conference:

"how many of you are using AI?"

every hand went up.

"how many are using AI to be more productive?"

every hand stayed up.

"how many of you are actually more productive?"

the whole room laughed.

that's the irony of 2026.

we have more tools than ever.
more automations than ever.
more AI than ever.

and somehow... we're busier than ever.

here's what i think is happening:

AI is making us faster at the wrong things.

→ faster at creating content no one reads
→ faster at sending emails no one opens
→ faster at building reports no one acts on

speed without strategy is just organized chaos.

the companies winning right now aren't the ones with the most AI tools.

they're the ones who got clear on what actually matters—then used AI to do only that.

productivity isn't about doing more.

it's about doing less of the wrong things.

what's one thing AI helped you stop doing?

love,
sangram
p.s. i love doing keynotes and saying things no one will say it out loud :)

a CEO of a $23M company just asked me:

"i'm hiring my first CMO. what should i look for?"

i've been a CMO twice. both companies past $100M. 

here's what i told her:

don't hire for campaigns. hire for clarity.

most CMO interviews focus on the wrong things:

→ what channels do you know?
→ what's your MQL strategy?
→ how will you grow traffic?

those matter. but they're not the job.

the real job at $23M is alignment.

can this person get sales and marketing on the same page?
can they explain the GTM strategy so you actually understand it?
can they get the whole company telling the same story?

if not, the campaigns won't matter.

here's what i'd ask in the interview:

→ "how would you define our ICP in your first 30 days—and who would you involve?"
→ "how do you build trust with a sales + CS team that's skeptical of marketing?"
→ "what would you do if i told you i don't understand what marketing does?"

the best CMOs don't hide behind dashboards.

they create clarity where there's confusion.
they build bridges where there's friction.
they make the CEO smarter about GTM—not more dependent on jargon.

at $23M, you may not need a brand visionary.

you need someone who can align the company and make pipeline predictable.

her response: "i've been asking the wrong questions."

if you're a CEO/founder hiring a CMO, start here.

what's one more thing the first-time CMO and CEO talk about?

love,
sangram
p.s. pic credit from my Exit Five marketing keynote with Dave Gerhardt's crew!

Salesforce: 17 years to go from $1B to $9B in revenue.

Anthropic: 10 months.

that's not a stat. that's a reset.

this isn't about Salesforce doing something wrong. they built an empire. changed how businesses buy software.

but the game changed underneath them.

i've been saying this for a year now: we're moving from Software as a Service to Service as a Software.

old model: buy software, hire people to run it, hope it works.

new model: hire experts who bring the software with them and deliver outcomes.

i see it every week with our GTM OS partners. they're walking into companies, deploying the system, and outperforming full-time hires—at a fraction of the cost.

here's what this means for you:

→ if you're a SaaS founder: your product isn't the moat anymore. outcomes are.

→ if you're a GTM leader: the playbook you ran for 10 years is expiring. companies want specialists who move fast and own the result.

→ if you're a fractional: this is your moment. companies don't want more software. they want people who know how to use it.

Anthropic didn't win because they had better sales reps.

they won because the product does the work.

Service as a Software. that's the shift.

fewer people. more leverage. outcomes over activity.

what's the biggest shift you're seeing in how companies buy right now?

love,
sangram

in 2015, i told two engineers "account-based marketing is the future."

they looked at me like i was nuts.

together, we built Terminus anyway. 

$0 to $1M ARR in 9 months. created a category called ABM. exited with $100M+.

in 2021, i wrote a book called MOVE with Bryan Brown saying GTM is the future.

it became a WSJ best seller and now GTM is what everyone talks about.

now in 2026, i'm telling you:

if you have 10+ years of marketing or sales exec experience, becoming a GTM fractional is the best career move you can make.

here's the pattern i've seen:

→ 2015: ABM was "crazy" — now it's standard

→ 2021: GTM as a system was "too simple" — now every CEO is thinking about it

→ 2026: fractional GTM execs are "not real jobs" — give it 2 years...

the best GTM leaders i know aren't chasing full-time roles anymore.

they're building practices. 
choosing their clients. 
making more than they did as CMOs or CROs. 
and getting their life back.

i've been early before. and with a community of 100+ GTM OS Certified partners across the globe, i am getting that same feeling.

this is the next wave.

if you've got the experience, stop waiting for permission.

prove me wrong?

love,
sangram
p.s. i didn't create any of these things but i can somehow spot a trend and build a community around it. it's the best time for GTM exec with 10+ years experience and i can feel it. can you?

just finished my 7th CEO roundtable and had a light bulb moment.

every single CEO is talking about AI.

but almost all of them are focused on the same thing:

→ cut headcount
→ automate tasks
→ reduce spend

and then they wonder why nothing feels different.

i wonder if we're looking at AI all wrong.

AI isn't meant to reduce cost.

it's meant to increase value.

cost reduction is a one-time win. you cut once, you're done.

value creation compounds. new products. new markets. new ways to serve customers.

the companies winning with AI aren't asking "how do we do the same thing cheaper?"

they're seem to be asking "what can we do now that we couldn't do before?"

that's a completely different question.

and it requires a different mindset.

not "replace the human."

"elevate the human creativity and capacity."

one CEO paused and said: "i've been solving the wrong problem."

immediately energy came back into the conversation and we went 30 mins over talking about all the positives that comes with adding AI without trying to cut costs as the primary driver.

my big take away: 

i am going to start thinking and advising CEOs on how to use AI to increase value and not reduce cost as a starting point moving forward.

begs the question - which one are you doing — reducing cost or increasing value?

love,
sangram

i spent 20+ years exploiting the B2B playbook.

built two $100M+ companies. three best-selling books. thousands of GTM strategies deployed.

and now i'm ready to say it out loud:

i helped write the OLD playbook. now i'm burning it.

more headcount doesn't mean more revenue.
more tools doesn't mean more pipeline.
more activity doesn't mean more growth.

we've been optimizing a system that's running out of gas.

the next era of B2B doesn't belong to the exploiters.

it belongs to the explorers.

that's exactly what i'm unpacking in my opening keynote at Agentic GTM: Realizing Revenue on March 26-27.

the talk: Growth Without the Bloat

here are the 5 BIG ideas i'll break down:

→ revenue per employee and NRR become the only metrics that matter
→ services as a software takes over SaaS
→ generalists will be more valuable than specialists
→ the rise of experienced solopreneurs fueling a new SMB category
→ AI to increase business value — not reduce cost

this isn't theory. it's what i'm seeing work right now.

if you're a CEO, CRO, or CMO trying to figure out what's next — this one's for you.

which of the top 5 BIG ideas are you excited about? 

📅 March 26 | 11:00 AM ET
🎟️ Attend The Metadata.io Agentic GTM: Realizing Revenue Virtual Event
Register now link here:  https://lnkd.in/eZJen_RD

love,
sangram

a CEO of an $11M company asked me last week:

"we're growing 30% a year. why does it feel like we're running in place?"

i asked one question: "what's your NRR?"

she paused. "i think it's around 90%."

that's the problem.

here's the math most CEOs don't run:

→ 90% NRR: you lose 10% of your revenue every year. you need 40% new business just to grow 30%. you're filling a leaky bucket.

→ 110% NRR: your existing customers grow 10% on their own. now you only need 20% new business to hit the same 30% growth.

→ 120% NRR: your customers are doing the heavy lifting. new logos become gravy, not survival.

same growth target. completely different effort.

most CEOs at this stage are obsessed with new logos. i get it. new logos feel like progress.

but the companies that scale aren't the ones with the best sales teams.

they're the ones where customers stay, expand, and refer.

NRR isn't a CS metric. it's a GTM metric.

if your marketing and sales teams aren't thinking about retention and expansion, you're leaving the easiest revenue on the table.

her response: "i've been solving the wrong problem."

do you know your NRR?

love,
sangram
p.s. building a GTMarketplace with 100+ certified GTM partners who are solving these problems daily for CEOs.

took me 4 years to figure this out. now i see it everywhere.

CEOs don't pay premium for strategy decks. they pay for clarity.

after $7M+ in GTM advisory,  here are the ONLY 8 things CEOs actually write BIG checks for:

𝗙𝗢𝗖𝗨𝗦 (𝘀𝘁𝗼𝗽 𝘁𝗵𝗲 𝗰𝗵𝗮𝗼𝘀)

1. define your ICP & prioritize segments — stop chasing the wrong customers.

2. build a roadmap around your highest-value products — focus on what drives real revenue.

3. develop a differentiated point of view — stand out instead of competing on price.

𝗘𝗫𝗘𝗖𝗨𝗧𝗜𝗢𝗡 (𝗺𝗮𝗸𝗲 𝗶𝘁 𝗿𝗲𝗽𝗲𝗮𝘁𝗮𝗯𝗹𝗲)

4. implement a GTM motions playbook — repeatable plays that actually work.

5. accelerate ROI & time-to-value — turn customers into advocates, fast.

6. focus on data-driven customer and product insights — fuel NRR growth.

𝗔𝗟𝗜𝗚𝗡𝗠𝗘𝗡𝗧 (𝗺𝗼𝘃𝗲 𝗮𝘀 𝗼𝗻𝗲)

7. create an executive GTM dashboard — full visibility, no surprises.

8. align teams with clarity & trust — move faster, execute better.

notice what's NOT on this list?

more leads. more content. more tools.

CEOs at $10M–$100M don't need more. they need less — with more precision.

which of these 8 is your company struggling with most right now?

love,
sangram

p.s. our 100+ GTM OS Certified partners solve these 8 problems daily for CEOs from startups to billion dollar companies. if you need help, check out GTMarketplace or just dm me.

in 2024, we had 3 GTM OS Certified Partners.

today? almost 100. across 3 continents.

but the numbers aren't what got me this week.

it's this photo.

Shelli Ryan, APR, Fellow PRSA and Melanie J. Lennert-Anliker on stage in Dubai sharing our new research and building a profitable GTM business.

at the same time—same week—

GTM OS sessions running in the UK - Abbas Shivji Navin Jaitly - leading the way!

another in Sydney, Australia - Sue Foley, i see you!

 in Canada - Murtaza Kumail Abbas, you are killing it brother!

in San Francisco - Lydia Flocchini and Tim Hillison doing joint roundtables

Bryan Brown and i just looked at each other like... is this real?

we didn't build a course.

we get to build a MOVEment.

→ 3 partners → 100 partners
→ 1 county → 3 continents
→ 0 businesses on GTM OS → over 1,000 today

and now GTMarketplace has the leading marketing and sales execs ready to take control of their careers.

here's what i've learned:

you don't scale a framework by selling it.

you scale it by giving people something worth teaching.

the partners aren't just certified. they're invested. they're on stages. they're in rooms we'll never be in. they're reaching companies we'll never meet.

that's not a business model.

that's a belief system.

to every GTM OS partner out there—thank you.

you made this real.

who's someone in your world building something bigger than themselves right now?

love,
sangram

last week, our GTM OS fractionals closed over $1M.

not in a quarter. in one week.

how? they follow the same system: brand, demand, delivery.

→ brand: they don't look like every other fractional. they use GTM OS certified research and process to stand out from the sea of consultants who aren't really building a business.

→ demand: they show CEOs exactly what they'll get. no fluff. outcome-based frameworks that make the value obvious before the first call.

→ delivery: with 100+ certified partners and data from 1000+ companies running on GTM OS, everything they do is already battle-tested. no guessing. no improvising. A+ delivery from day one.

most fractionals are winging it alone.

building their own decks. creating their own frameworks. hoping it works.

our partners don't have to.

they walk into every engagement with a system that's been pressure-tested across industries, stages, and company sizes.

this is why i love this community.

you don't have to figure it out by yourself.

you don't have to compete on price.

you don't have to feel like "just another consultant."

you get to build a real business — with a real system — alongside people who are doing the same thing.

this is the best time to go all in on building a fractional business... if you have 10+ years of GTM experience.

love,
sangram
p.s. throwback picture from GTM Made Simple roadshow

***Hot take *** every company is about to land in one of three places.

and your GTM strategy depends on which one you're in.

𝗹𝗮𝗻𝗲 𝟭: 𝗽𝗿𝗼𝗱𝘂𝗰𝘁-𝗳𝗶𝗿𝘀𝘁 (Competition zone)

you compete on efficiency or necessity. your product gets cheaper every day. AI and automation are compressing your margins.

GTM here = speed to market, volume, low-touch sales. you win on distribution, not differentiation.

𝗹𝗮𝗻𝗲 𝟮: 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿-𝗳𝗶𝗿𝘀𝘁 (Winning Zone)

you compete on transformation. your customers don't just use your product — they become something different because of it. you get overvalued every day.

GTM here = outcomes, stories, premium pricing. you win on depth, not reach.

𝗹𝗮𝗻𝗲 𝟯: 𝘁𝗵𝗲 𝗺𝘂𝗱𝗱𝘆 𝗺𝗶𝗱𝗱𝗹𝗲 (Instability Zone)

you're not the cheapest. you're not the most transformational. you're just... there.

GTM here = competing on everything, winning on nothing. no clear positioning. no pricing power. no moat.

this is where most companies go to die.

the hard truth?

most GTM teams are building playbooks for lane 2 while their company is stuck in lane 3.

or worse — they're in lane 1 and pretending they're in lane 2.

the first job of any GTM leader is to get honest about which lane you're actually in.

then build the strategy that fits.

which lane is your company in right now?

love,
sangram

how do you make $500K consistently as a fractional CMO/CRO leader?

not once. not in a lucky year. but predictably.

it's a math problem, not a motivation problem.

here are the 3 models i see working:

→ model 1: 4 retainers at $10K/month = $480K

→ model 2: 3 retainers + 2 strategic projects at $50K each = $460K–$500K

→ model 3: 2 PE-backed clients at $20K/month = $480K

$500K is not about 12 clients. it's about 2–4 serious ones.

but here's what separates $250K fractionals from $500K fractionals:

$250K fractionals sell execution — content, ads, HubSpot management.

$500K fractionals sell architecture — revenue design, GTM resets, alignment across marketing + sales + product.

execution scales down. architecture scales up.

the other difference? specificity.

generic fractionals cap at $250K.

the ones crossing $500K have a wedge:

→ post-Series A pipeline resets
→ PE-backed revenue acceleration
→ ABM for $100M+ portfolios

and the hard truth?

$500K requires selling. confidently. at that level.

many people can do the work. few are willing to price it.

if you don't sell, they can't buy.

which model are you running right now?

love,
sangram
p.s. we now have 100 GTM OS Certified Partners doing this and just celebrated several folks crossing this milestone on our Monday Mastermind. if you want to join the MOVEment, just  dm me.

when you work for a company, every competitor becomes your enemy.

when you go fractional, every other fractional becomes your homie.

meet Matt Anthony and Stacy Sutton.

both are successful GTM leaders. both are GTM OS Certified Partners building profitable businesses. both are in ATL.

so what do they do? they meet up. they build together.

this is what happens when you shift from W2 to 1099.

something changes in your mindset.

you stop seeing other people in your space as threats. you start seeing them as allies.

but here's the thing no one talks about:

going fractional can get lonely. really lonely.

you leave the meetings, the Slack channels, the water cooler. you're on your own.

and then you find others doing the same thing.

now with 100+ GTM OS partners across the globe, i see this happening all the time.

people meeting up. sharing deals. building businesses together.

people ask me: "what's the ROI of building this community?"

my answer: a big smile on my face.

that's the ROI.

did i go overboard with the word "homie" here?

love,
sangram
p.s. follow Matt Anthony and Stacy Sutton for each of them are building an incredible practice to help CEOs fix and scale their GTM, fast.

looking for 3-5 AI-powered GTM tools to introduce to our 100+ GTM OS Certified partners and agencies.

here's why this matters:

there are 10,000+ GTM AI tools out there. buyers have no idea what's actually good.

too much noise. too many demos. too little trust.

so how do people actually decide what to buy?

they ask someone they trust.

our 100+ partners are building $250K-$500K+ fractional businesses all over the world. each one works with 3-5 clients at a time.

that's 300-500 companies in this ecosystem right now.

here's the deal:

→ give our partners access to your tech
→ they recommend it to clients when it fits
→ they earn a commission on referrals
→ they post about it on LinkedIn (real usage, not paid ads)

this isn't influencer marketing.

it's micro-advisor distribution.

trusted people recommending tools they actually use to clients who actually need them.

no cold outreach. no ad fatigue. no "request a demo" forms.

just warm introductions from people who've already earned trust.

i think this is how B2B buying is going to work moving forward.

not more ads. more trusted advisors.

if you're building AI-powered GTM tech and this sounds interesting — DM me "PARTNER" and let's talk.

love,
sangram

p.s. we have a rigorous process so if you can't handle an influx of deals yet, hold off for now.

time for a reintroduction.

most of you know me as the Terminus guy. the ABM guy. the author of a few books.

but here's what i get to do now — and honestly, it's something i could only dream of.

i get to help people turn 10+ years of GTM experience into a real business.

not a side hustle. not "consulting between jobs." a real, sustainable business.

i've been doing this on and off for 5 years. but in the last year, Bryan Brown  and i have done it 100 times.

100 GTM leaders. building $250K–$500K+ practices. working with startups and PE firms who actually value their expertise.

just last week, was our first $1M week with a few certified partners (fractionals) sharing their wins in the community. 

this is the new reality.

so here's what i've learned:

the skills you built climbing someone else's ladder? they're worth more than you think.

but it only works if you're serious about it.

this isn't for people looking for a backup plan.

it's for people ready to bet on themselves.

so if you've gone fractional /solo — or you're thinking about it — i want to help.

and if you know someone who fits that description, tag them or send them my way.

this is the work i am meant to do right now.

thank you for supporting the GTMovement!

if you want to share the word, pls repost it.

love,
sangram

we launched GTMarketplace last week.

the next day, one of our partners posted this:

"my GTM OS Marketplace page went up last night, and I woke up this morning with an inquiry from a company that meets my PropTech ICP."

page goes live. wakes up to a qualified lead. no outbound. no cold calls. no "let's hop on a quick call to see if there's fit."

just a match.

this is what we built it for.

→ CEOs and PE firms can find vetted GTM fractionals and agencies
→ fractionals get discovered by companies that actually match their expertise
→ no forms. no sales reps. no commission.

it's AI-first. you chat with it like you would a person. tell it what you need. it finds your match.

we're just getting started.

but moments like this remind me why we built it.

the best GTM talent shouldn't have to hustle for every deal.

and companies shouldn't have to guess who's legit.

GTMarketplace connects both.

if you're a CEO looking for fractional GTM help—or a GTM exec who wants to get discovered—link is in the comments.

love,
sangram

just wrapped a LIVE workshop with 25 GTM leaders who want to go fractional.

4 hours. no fluff. just the real stuff.

here's what we covered:

𝗺𝗶𝗻𝗱𝘀𝗲𝘁
→ why you and why now?
→ 3 ways to build a fractional business
→ 8 outcomes CEOs actually pay for
→ 15 limiting beliefs holding you back

𝗮𝗰𝘁𝗶𝗼𝗻
→ build your LinkedIn and define your ICP
→ set up your tech stack and funnel
→ create a content strategy for consistency
→ sell through frameworks — outcomes, not hours

𝗿𝗲𝘀𝘂𝗹𝘁𝘀
→ how to land 1-3 clients in 90 days
→ the 10-week challenge to make it real

this is the system our 100+ GTM OS partners use to build $250K–$500K+ practices.

not theory. not motivation. a real playbook.

if you're thinking about going fractional — or already started and feeling stuck — i want to help.

comment "GTM" and my EA send you the entire deck starting Friday.

plus i am included a recording in which i will show how we built a $7M advisory using this process. no silver bullet - just consistently doing what only 1% would do. 

who is this NOT for: in between jobs or not serious about building a $250k+ business or having less than 10+ years of marketing/sales/CMO/CRO experience. 

comment "GTM"... let's go!

love,
sangram
p.s. thank you Aby Varma for having me + Stacy Sutton and Matt Anthony for being there as GTM OS Certified Partners doing this for real!

a partner at a $10B PE firm asked me last week:

"what's the hourly rate for a fractional CMO?"

my answer: "don't be a hammer looking for nails."

she's trying to help her portfolio companies scale with "just in time" hiring instead of full-time execs. smart move. but she was thinking about it wrong.

here's what i told her:

we're shifting from "knowledge workers" to "wisdom workers."

knowledge workers get paid for what they know.
wisdom workers get paid for the outcomes they create.

the best fractional GTM leaders i know don't charge by the hour. they charge by the transformation.

and this shift is happening fast.

→ fractional CFOs normalized it first. companies realized they didn't need a full-time finance exec—they needed outcomes.

→ Fiverr normalized it at the entry level. millions of people building income without a boss.

→ now it's happening in GTM.

for the first time, marketing and sales leaders with 10+ years of experience are building $300K–$500K practices.

not consulting gigs.

not "between jobs" work.

real businesses.

when Bryan Brown and i started the GTM advisory business in 2021, we were figuring this out as we went. today? it's a proven path.

the old model: charge by the hour, compete on rate, get commoditized.

the new model: charge by the outcome, compete on wisdom, build a real business.

this isn't a trend.

it's a reset.

if you've been thinking about making the leap, check out GTMarketplace — 100+ GTM leaders already building $300K+ practices. link in comments.

love,
sangram
p.s. dm me if you want to be on this GTMarketplace only if you have 10+ years of marketing/sales/GTM experirence.

taplio

The Battle

Jonathan Moss

Sangram Vajre

Followers

Posts

Engagements

Likes

Performance ScoreJonathan Moss's LinkedIn Performance

Performance ScoreSangram Vajre's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Jonathan Moss

Sangram Vajre

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);}Jonathan Moss's LinkedIn Performance

Performance ScoreSangram Vajre's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreJonathan Moss's LinkedIn Performance