
How This VP Scaled HubSpot from $200M to $1.5B
Most sales orgs attempting an upmarket move make the same mistake. They restructure the team before they can answer why.
Channing Ferrer, CEO of Americas at Brevo and the operator who helped build the GTM system that scaled HubSpot from $200M to $1.5B, has run this transition multiple times across SEMrush, Brandwatch, and now Brevo following a $583M raise. Below are the frameworks he uses, broken out so you can pressure-test them against your own org this week.
What Is Sales Segmentation and When Does It Actually Make Sense?
Sales segmentation is the process of dividing a unified revenue team into distinct groups based on deal size, sales cycle complexity, or customer profile. Most commonly this means separating a blended team into small business and enterprise motions with separate quotas, territories, and skill profiles.
Done well, it sharpens resource allocation and win rates. Done wrong, it creates internal conflict, broken comp structures, and reps who spend three months feeling ranked against each other instead of selling.
Most leaders treat segmentation as an org chart problem. Channing treats it as an operational decision with a human cost you have to account for before you ever move.
Why Is the "Why" the First Question You Have to Answer?
At SEMrush, Channing's case for segmentation rested on two specific problems.
Top sellers were working $200-a-month deals. That is a misallocation of elite talent that compounds every single week it continues. And a new product entering the market required a genuinely different selling motion than the blended team was built for.
Both reasons were concrete. Both were measurable. That specificity is what made execution defensible when the friction started.
If you cannot name the inefficiency or the opportunity in one sentence, you are not ready to segment. The operational complexity you are about to add requires a stronger justification than wanting bigger deals. Lead rotation logic, quota design, territory coverage, career progression paths: these all have to be rebuilt from scratch when you segment. That is real friction. It needs a real reason.
How Do You Run the Transition Without Destroying Team Morale?
This is where most segmentation plans come apart. The moment you divide a team into enterprise and small business, some reps hear a ranking even when you never intended one. The enterprise group feels elevated. The small business group feels like the second tier. That perception hardens fast and is very difficult to walk back.
Channing's approach at Brevo was to reframe the division around deal velocity rather than seniority or status. Some sellers are wired for high-volume, fast-cycle deals where speed to lead and sharp calendar management are the dominant skills.
Others thrive in long-cycle, multi-stakeholder deals where procurement navigation and champion coaching are what close the business. Neither motion is better. They require different strengths.
When you explain the split that way, the conversation changes. You are not sorting A players from B players. You are matching skill sets to selling environments. Reps who are genuinely strong at one motion and not the other tend to self-select correctly once the framing is honest. The leaders who skip this conversation pay for it in morale and attrition six months later.
What Does Enterprise Selling Actually Require That SMB Does Not?
Channing is direct about this. Enterprise is a different beast, and putting a strong SMB rep into an enterprise role without addressing the skill gap is one of the most common causes of missed quota after a segmentation change.
The dominant competencies shift completely. High-velocity SMB selling rewards fast qualification, tight activity management, and a short feedback loop between outreach and close. Enterprise selling rewards multithreading across buying committees, procurement and legal navigation, and the ability to coach your internal champion to sell the deal up the chain in rooms where you are not present.
That last skill is the one most reps have never been taught. The champion meeting goes well. The rep leaves feeling good about the deal. Then the champion walks into the internal review and gets picked apart by finance and legal, and the rep has no visibility and no play.
The deal stalls and eventually dies in a stage it should have cleared two months earlier.
Skill development for that specific gap, not just general enterprise exposure, is what Channing calls out as critical for Brevo's next 18 months as the team transitions upmarket.
How Do You Build AI Adoption That Actually Sticks?
The standard approach does not work. A leader tells the team to use AI more. The team nods. The week fills up exactly the same as before because the day-to-day already consumes every available hour.
Channing's framework has two parts and neither one is optional. First, create protected time with a deliverable attached. Not a training session where someone demonstrates a tool for 45 minutes. Actual carved-out time where the only job is to experiment with AI on real work tasks, with accountability to show the team what they built. The constraint forces engagement.
Encouragement alone never does.
Second, lead from the front in a way that is specific and visible. When someone brings him a request, Channing runs it through Claude first and then shares what he found, including showing the depth of the prompt behind the output. Once people see the gap between a three-line prompt and a structured project-level system prompt, the game changes.
That comparison closes faster than any training session because it makes the ceiling visible. People cannot aim for a standard they have never seen.
What Does a Revenue Org Need at Each Growth Stage?
One of the sharpest frameworks Channing raised is one most operators skip entirely: the go-to-market requirements change structurally as you move through growth stages, and the leaders who miss that transition pay for it in wasted headcount and misallocated systems.
Early stage companies need simplicity above everything else. One blended team, heavy automation for low-touch tasks, and a focus on learning what actually closes before adding structure that would only slow the feedback loop down.
Series B companies, roughly in the $10M to $30M range, need to introduce leadership layers and start thinking about how the CSM and sales motions work together. Retention and expansion start to matter more than they did at early stage, and that requires a different handoff architecture.
At $100M and beyond, the question shifts to how you accelerate a model that is already proving out. That is when segmentation, formal partner programs, and enterprise-specific skill development earn their operational cost. Adding those elements before the model is proven creates drag that compounds. Adding them after creates the ceiling you have to break through.
Knowing which stage you are actually in, not which stage you wish you were in, determines which levers are worth pulling right now.
FAQ
How do you know when it is the right time to segment your sales team?
When you can name a specific inefficiency or a specific market opportunity in one sentence that segmentation would directly address. The most common legitimate triggers are top sellers being consistently assigned to low-value deals, or a new product requiring a selling motion the current blended team is not built for. If the justification is vague, the operational complexity of segmentation is not yet worth the friction it creates.
What is the difference between enterprise and high-velocity selling skills?
High-velocity selling rewards fast qualification, tight activity management, and a short cycle between outreach and close. Enterprise selling rewards multithreading across buying committees, procurement and legal navigation, and coaching an internal champion to advance the deal in rooms the rep never enters. A strong SMB rep placed into an enterprise role without addressing that skill gap is one of the most consistent causes of missed quota after a segmentation change.
Why do European software companies struggle when entering the U.S. market?
The U.S. market is the largest, most competitive, and most operationally nuanced market in most technology categories. Brand recognition thresholds are higher because buyers have more established alternatives to evaluate. Regulatory and compliance environments vary by industry and by state in ways that require genuine local expertise. And the buying process, particularly in mid-market and enterprise, moves on relationship and trust signals that take time to build in a market where the company is not yet known.
How do you drive real AI adoption on a sales team rather than just awareness?
Forced structured time with a deliverable is the starting point. Telling people to find time on their own produces nothing because the week is already full. Carve out dedicated experimentation sessions with accountability to present what was built. Layer that with visible top-down usage where leaders share their actual AI output, including the prompt depth behind it. Once reps see what a structured prompt produces compared to a casual three-line query, the standard raises itself.
What go-to-market changes are required at different revenue stages?
Early stage companies need simplicity: one blended team, automation handling low-touch volume, and a tight feedback loop on what actually closes. Series B companies need leadership layers and a defined handoff between sales and customer success. At $100M-plus, the focus shifts to accelerating a proven model through segmentation, partner ecosystems, and enterprise-specific skill development. The leaders who add late-stage complexity too early create drag. The ones who wait too long create ceilings they have to break through under pressure.
If any of those gaps sound familiar, the fastest way to find out which one is costing you the most is to run the diagnostic on your specific team.
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