Mark Roberge
Co-Founder @ Stage 2 Capital, Prof @HarvardHBS; Founding CRO @HubSpot; Author of Best Sellers “The Sales Acceleration Formula” and “The Science of Scaling”
Mark Roberge teaches scaling strategy and sales leadership to founders and operators through deeply researched, pattern-based insights drawn from his HubSpot exit and current portfolio work. His most distinctive move is opening with a casual, high-stakes statement ('Today is a big one') or a relatable problem ('your inbox is probably flooded'), then backing it with 10+ years of data and lived experience.
7.5/wk
98 posts in 30d
178
avg per post
12.8%
comments / total
2.9%
reposts / total
mixed
Fri · 11 AM CET
Voice & tone
Roberge writes like a mentor who has earned the right to be direct. He's conversational but rigorous, mixing casual observations ('Sound familiar?') with hard-won lessons. He avoids hype and instead builds credibility through specificity: 'I saw too many founders fail not because their product wasn't adequate—but because they scaled at the wrong time.' Readers trust him because he admits uncertainty ('I'm unsure where it will lead') while still teaching with conviction.
Signature phrases
- “Today is a big one.”
- “Sound familiar?”
- “Here's what I learned scaling HubSpot from zero to $100M ARR:”
- “Round and round it goes—practice → theory → rigor → practice again.”
- “Who cares?!?!”
- “If I were building a sales team from scratch in 2026, I'd do three things:”
Top 3 posts, dissected
Their highest-engagement posts, broken down line by line. Steal the structure.
Today is a big one. The Science of Scaling officially launches today. This book represents more than a decade of learning, testing, refining, and teaching—and I couldn’t be more grateful for the journey that led here. Since leaving HubSpot after the 2014 IPO, I’ve had the rare luxury of running a personal learning flywheel: --> Working on the front lines with founders as an investor and board member at Stage 2 Capital --> Studying patterns and pressure-testing ideas as a professor at Harvard Business School --> Sharing and crowdsourcing insights through keynotes, writing, podcasts, and classrooms --> Bringing those lessons back to portfolio companies to implement, measure, and iterate Round and round it goes—practice → theory → rigor → practice again. One inflection point in that flywheel came in 2019, when I gave a keynote at SaaStr on a pattern I kept seeing over and over again: startups failing not because their product wasn’t adequate—but because they scaled at the wrong time and at the wrong pace. That talk struck a nerve. I was asked to repeat it, write about it, teach it, build curriculum around it, and eventually… turn it into a book. Along the way, I saw too many founders who did everything right, raised capital, hired well, and still watched the business unravel because scaling decisions weren’t grounded in data or stage-appropriate milestones . We’ve gotten much better at finding product-market fit—but far too many companies still “strike out” once they try to scale revenue. The Science of Scaling is my attempt to change that. At its core, this work deconstructs go-to-market system design down to first principles, designing each system component from internal performance data—not anecdotes or benchmarks copied from an irrelevant context. I hope this first principle thinking will serve as a blueprint for the next wave of go-to-market agentic development as we model things like ICP refinement, sales methodology personalization, and sales capacity optimization. It introduces a clear, data-driven framework for answering two deceptively hard questions: Are we ready to scale revenue? If so, how fast? The goal isn’t to slow founders down. It’s to help them move fast toward the right milestone. One final note that makes this launch especially meaningful: all book proceeds are being donated to support mental health—a cause that matters deeply to me and to so many founders navigating this journey. Sometimes, a single piece of content turns into something timeless and broadly useful. I hope this book helps founders, operators, investors, and leaders scale with more confidence, rigor, and success. Thank you to everyone who’s been part of this flywheel. And welcome to The Science of Scaling. (100% of proceeds are donated to mental health.) https://lnkd.in/gH9jUy5b The Science of Scaling
'Today is a big one.' works because it's casual, stakes-adjacent, and creates immediate curiosity. It's not 'Excited to announce'—it's a friend telling you something matters. The reader wants to know why.
Opens with hook, then announces the book launch. Moves into a 'learning flywheel' framework (practice → theory → rigor → practice) that explains his credibility. Then traces the origin story of the book back to a 2019 SaaStr keynote. Ends with a cliffhanger (text truncated).
- Flywheel visualization using arrows and bullets to show how his roles feed each other
- Origin story that ties the book to a specific moment (2019 keynote) and a pattern he kept seeing
- Gratitude statement early ('I couldn't be more grateful') that builds warmth before the pitch
The post ends mid-thought (truncated), but the structure implies a call to read the book or learn more. The high engagement (1822) suggests readers are commenting to ask for the full text or share their own scaling stories.
Use a personal learning system (the flywheel) as proof of concept before asking readers to trust your teaching—it's more credible than credentials alone.
In the 80s and 90s, most sales reps were full-cycle. They found their own meetings. They ran the process. They renewed and expanded accounts. Then we specialized: --> SDRs (thanks to the “predictable revenue” era) --> CSMs and post-sale roles (as we realized retention is growth…
'In the 80s and 90s, most sales reps were full-cycle.' anchors the reader in history, then uses contrast ('Then we specialized') to set up a counterintuitive claim about AI bringing back full-cycle sellers. The hook works because it's specific and temporal.
Historical setup (full-cycle sellers in the 80s-90s). Transition to specialization era (SDRs, CSMs, layers). Cost of specialization (handoffs, misalignment, overhead). Belief statement for 2026 (AI enables full-cycle sellers again). Three concrete implications (flatter orgs, less middle management, higher rep-to-manager ratios). Ends with 'If I were building a sales team from scratch in 2026, I'd do three things:' (truncated).
- Bullet-based contrast to show the evolution of sales structure
- Second-order effects framing ('And that has a second-order effect:') to show systems thinking
- Conditional future-building statement ('If I were building...') that invites readers to imagine themselves in his position
The post ends with a setup for actionable advice ('three things'), which drives comments asking for the full list or debating the premise.
Use historical contrast and second-order effects to make a counterintuitive claim feel inevitable rather than speculative.
If you're in B2B sales right now, your inbox is probably flooded with "I'm out of the office until August 19th" auto-replies. Sound familiar? Here's the brutal reality I see every summer: Response rates drop 50-70%. Deal cycles stretch from 30 days to 60+ days. Your champion di…
'If you're in B2B sales right now, your inbox is probably flooded with "I'm out of the office until August 19th" auto-replies.' is hyper-specific and seasonal, creating immediate recognition. The follow-up 'Sound familiar?' is a micro-engagement tactic that makes readers nod before they read further.
Relatable problem (summer auto-replies). Brutal reality (response rates drop 50-70%, deal cycles stretch). Typical bad advice (make more calls). Credibility anchor (HubSpot zero to $100M ARR). Reframe (volume isn't the answer). Blueprint with three bullets (stop fighting summer, focus on the 10%, build Q4 pipeline now). Ends with 'That's exactly w...' (truncated).
- Specific percentages (50-70% drop, 25% fewer productive days) to make the problem feel quantified and real
- Rhetorical question ('What if I told you...') that invites the reader to lean in
- Contrarian framing ('Stop fighting summer and start using it') that flips the conventional wisdom
The post ends with a promise of a 'blueprint' that's cut off, driving readers to comment asking for the full strategy or to share their own summer sales tactics.
Anchor a contrarian idea in a specific, timely problem that readers are experiencing right now—it makes the advice feel urgent and relevant.
What drives their engagement
Roberge ends posts with incomplete frameworks or asks rhetorical questions that invite debate. 'Who cares?!?!' and 'What if I told you...' are designed to make readers want to respond. His highest-engagement post (1822) uses a book launch as the anchor, which naturally invites congratulations and questions.
Posts that contain contrarian claims about the future ('AI evolves us back to the full-cycle seller') or frameworks that feel universally applicable (the learning flywheel) get reposted. Reposts are low (2.9%) because his content is highly specific to founders and sales leaders, not broad enough for mass sharing.
Low savability signal. Roberge optimizes for reach and conversation, not reference material. His posts are meant to be read once, debated, and moved on from—not bookmarked as templates.
Content pillars
Scaling Strategy & Timing
35%Teaches founders when and how to scale, grounded in patterns Roberge sees across his portfolio and HBS classroom.
Sales Structure & Hiring
30%Breaks down how to build and evolve sales teams, from first hire to specialization to AI-driven full-cycle sellers.
Enterprise Deal Execution
20%Tactical advice on navigating complex B2B sales cycles, from discovery through executive presentations.
Personal & Cause-Driven
15%Shares vulnerability on mental health, book launches, and the learning flywheel that shapes his thinking.
Hook patterns
Casual High-Stakes Opening
Simple declarative sentence that signals importance without hype. 'Today is a big one.' or 'One mistake I see founders make...'
“Today is a big one.”
→ Creates curiosity and intimacy—feels like a friend telling you something that matters, not a broadcast.
Relatable Summer/Seasonal Problem
Paint a vivid, specific problem the reader is experiencing right now. 'If you're in B2B sales right now, your inbox is probably flooded with...'
“If you're in B2B sales right now, your inbox is probably flooded with 'I'm out of the office until August 19th' auto-replies.”
→ Immediate recognition creates a sense of 'this is for me' and lowers resistance to the rest of the post.
Historical Pattern Setup
Begin with how things used to work, then pivot to what's changing. 'In the 80s and 90s, most sales reps were full-cycle.'
“In the 80s and 90s, most sales reps were full-cycle. They found their own meetings. They ran the process. They renewed and expanded accounts.”
→ Establishes credibility through historical knowledge and primes readers for a counterintuitive insight about the future.
Counterintuitive Claim
State a belief that contradicts conventional wisdom. 'My belief for 2026: AI evolves us back to the full-cycle seller.'
“My belief for 2026: AI evolves us back to the full-cycle seller.”
→ Stops scrollers because it challenges their assumptions and promises a fresh perspective.
Vulnerability + Cause Hook
Lead with a personal decision that signals depth. 'Why I'm donating the proceeds of my recent book, The Science of Scaling, to mental health'
“Why I'm donating the proceeds of my recent book, The Science of Scaling, to mental health”
→ Humanizes the creator and signals that the post is about values, not vanity—drives comments and shares from people who respect authenticity.
Mistake-Based Teaching
Identify a specific error pattern you observe. 'One mistake I see founders make in early selling motions: how they handle the big presentation...'
“One mistake I see founders make in early selling motions: how they handle the 'big presentation' to the decision-making unit.”
→ Positions the creator as an observer with pattern recognition, and readers want to know if they're making that mistake.
Top-performing hooks
“Today is a big one.”
“In the 80s and 90s, most sales reps were full-cycle.”
“If you're in B2B sales right now, your inbox is probably flooded with "I'm out of the office until August 19th" auto-replies.”
“Why I'm donating the proceeds of my recent book, The Science of Scaling, to mental health”
“One mistake I see founders make in early selling motions: how they handle the “big presentation” to the decision-making unit.”
“Big day at Stage 2 Capital.”
“Yesterday, I hosted a panel at HubSpot INBOUND on what the future of GTM AI tech stack will look like.”
“Congratulations to Santiago Suarez Ordoñez, Ashley Wilson, Moiz Virani, and the entire Momentum.io team. It’s been a privilege to support you on this journey.”
“Whenever I meet a successful enterprise seller—someone who closes millions in sales annually through big-ticket deals—I always ask them why they win.”
“Last week, we brought together more than 325 founders, LPs, and go-to-market leaders at Google NYC HQ for the Stage 2 Capital Summit. It continues to be my favorite day of the year, as I get a front-row seat to the GTM coaching from our LPs.”
What works
- Specific percentages and metrics ground abstract ideas in reality. '50-70% drop in response rates' and 'zero to $100M ARR' are more credible than 'response rates drop significantly.'
- Origin stories tied to specific moments (2019 SaaStr keynote, summer sales cycles) make frameworks feel earned rather than invented. Readers trust patterns that come from observation, not theory.
- Contrarian claims positioned as beliefs, not facts ('My belief for 2026:') lower defensiveness and invite discussion instead of argument. The word 'belief' signals humility.
- Incomplete frameworks that end with 'I'd do three things:' or 'Here's your blueprint:' (then truncate) drive comments because readers want the full answer. Curiosity gaps work better than complete solutions.
- Rhetorical questions and direct address ('Sound familiar?' 'Who cares?!?!') create micro-moments of engagement that lower the barrier to commenting. They're invitations, not statements.
- Vulnerability on personal topics (mental health, book proceeds) humanizes the creator and drive shares from people who respect authenticity over expertise alone.
Steal this for your own LinkedIn
- Start your next post with 'Today is a big one.' or 'One mistake I see [your audience] make:' instead of a generic hook. Specificity and casualness beat polish.
- End with an incomplete framework or a question that invites debate. Don't give the full answer—let readers ask for it in comments.
- Use a 'learning flywheel' or system (practice → theory → rigor → practice) to explain why you're credible before you teach. Show your process, not just your results.
- Lead with a relatable problem your audience is experiencing right now ('your inbox is probably flooded with...') before you offer the solution. Recognition comes before trust.
- Include specific percentages, timelines, or dollar amounts. '50-70% drop' is more memorable and credible than 'significant drop.'
- Post 5-7 times per week on a consistent schedule. Roberge's 7.5 posts/week and 100% consistency over 90 days signals that he treats LinkedIn as a daily practice, not a campaign.
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Posting patterns
Roberge posts 7.5 times per week with 100% consistency over the last 90 days, treating LinkedIn like a daily practice rather than a broadcast channel.
Friday at 10 AM UTC performs best, suggesting his audience checks LinkedIn mid-morning on Fridays when they're winding down and more likely to engage in longer conversations.
Long-form posts (180-350 words) perform best at 178 avg engagement, followed by very long posts (350+ words) at 281 avg engagement. Short posts underperform. Roberge's audience wants depth and context, not quick takes.
