By Robert Soffel, RevOps Expert Advisor at Notion Capital
If you’re sitting somewhere between $10M and $30M in ARR, you’re in what we call the ‘Build’ phase. It’s a transitional — sometimes painful — stage where complexity explodes, predictability gets harder, and growth starts to feel less like hustle and more like architecture.
It’s also where RevOps can have the biggest impact.
In this phase, we shift from founder-led sales to repeatable, scalable go-to-market motions. Stephen Millard describes it as ‘moving from chaos to order.” The goal? Establishing real go-to-market fit. That means making your growth predictable, your process repeatable, and your teams aligned.
This is the third in a series on RevOps with our RevOps expert in residence, Robert Soffel. Rob first came to our attention during his work with Onfido, collaborating with another of our Operating Partners, Andy Leaver. He’s also done great work with Trustpilot, Fidel API, and more recently, he's been helping several of our portfolio companies implement foundational RevOps.
Notion Capital’s research into more than 14,000 European startups revealed a sobering statistic: only 20% of companies that reach $10M in ARR go on to hit $30M. That makes the Build phase — between $10M and $30M — a kind of Death Valley in the startup journey.
So why is this stage so hard to survive?
1. GTM Complexity Outpaces Coordination
Your go-to-market motion gets more sophisticated — multiple segments, new products, new markets, new GTM motions — but the business hasn’t yet developed the muscle to operate in sync. Without intentional alignment, chaos compounds.
2. Premature Scaling Dilutes Focus
Companies often accelerate GTM (e.g. launch new regions, add a channel, hire too fast) before locking in repeatable success. The result is stretched teams, inconsistent messaging, and disjointed processes.
3. Operational Debt Becomes a Drag
Legacy systems, manual processes, and patchy data start to catch up. What worked at $5M breaks under the weight of $15M+. The longer you wait to address it, the more painful (and expensive) the fix becomes.
Before we dive into the initiatives, it’s worth asking — how can RevOps help companies navigate these challenges and avoid becoming part of the 80% that don’t make it? In my experience, there are five critical – and practical – areas where RevOps can create structure, insight, and momentum.
You’ve mapped your lifecycle, implemented a CRM, codified your qualification framework… so now what?
Most companies build infrastructure but fail to operationalise it. That’s where an operating cadence comes in: it’s how you bring your data — and your teams — to life.
There are two meetings I always recommend at this stage:
These sessions aren’t revolutionary — they’re just incredibly effective when done properly.
Forecasting isn’t just about the number. It’s about understanding the “why” behind the number.
At $10M, you can get away with some fuzziness. At $30M, poor forecasting erodes trust — fast.
To bring more rigour into your forecasting, start with two things:
Forecasting is a muscle. Build it with structure, not vibes.
Every company builds a top-down plan in a spreadsheet. The smart ones sense-check it from the bottom up.
This is one of those lessons I learned the hard way. You might be aiming to double ARR — but do you have the pipeline? The reps? The ramp time? Is your ASP increase tied to reality, or just wishful thinking?
RevOps plays a key role in challenging assumptions:
This isn’t about being pessimistic — it’s about grounding ambition in operational feasibility.
RevOps often ends up being a black box. Everyone knows they want “more from RevOps,” but no one really knows what that means.
A well-managed roadmap does three things:
I like to think of RevOps as a product owner, with internal GTM teams as your users. A clear roadmap keeps your “customers” informed and engaged.
Every one of the initiatives above depends on one thing: clean, reliable data.
Without it, your GTM machine becomes sluggish. You can’t forecast accurately. You can’t align teams. And you definitely can’t layer on AI or automation.
Data quality isn’t sexy, but it’s foundational. Define your customer data model. Use enrichment tools where needed. Audit your systems. And above all — never treat it as a “set and forget” project. It’s a muscle you’ll keep building as you scale.
The Build phase is hard. You’re moving fast, layering on complexity, and trying to keep everyone aligned.
But with the right RevOps foundations in place — operational cadence, rigorous forecasting, bottom-up planning, visibility, and data quality — you set your business up not just to hit $30M, but to scale beyond it with confidence.
If any of these topics hit a nerve, I’m always happy to go deeper.