Operator / Post-PMF SaaS

The jump from 1M to 10M is not the same motion that got you to 1M. The first million comes from founder hustle and a few warm channels. The next nine come from a system. I run growth as a Fractional Head of Growth, and my job is simple: take you From Traffic to Revenue. When founders ask me to scale B2B SaaS ARR, they usually have traffic. What they lack is a repeatable path from a click to a paying account to an expansion. That gap is where most of the money sits.
Start with retention, not acquisition. You cannot scale B2B SaaS ARR on top of a leaky bucket. If net revenue retention sits below 100%, every new dollar of acquisition is fighting churn before it funds growth. I pull cohort data first: month-1 activation, day-30 retained accounts, and seat or usage expansion by segment. The accounts that expand tell you which segment to double down on. I took Elementor to 100x ARR by treating retention and expansion as the engine, not a footnote. Acquisition gets the headline; retention pays the bills.
Then fix activation. Most B2B products lose the deal in the first session, not in the sales call. I map the exact steps a new account takes from signup to first value, then I instrument every step so I can see where they stall. One activation point fixed is worth more than three new campaigns, because it compounds across every channel you already run. When you scale B2B SaaS ARR, activation is the multiplier that makes paid acquisition affordable.
Paid channels come after the funnel converts, never before. I model break-even CAC against payback period, not against a vanity ROAS number. A channel that pays back in under twelve months on a net-retention-positive base is a channel I scale. Everything else gets cut or capped. I have managed $100M+ in budgets across paid search, paid social, and demand capture, and the discipline is always the same: spend follows proven payback, not optimism. If you want the math behind unit economics, the work by Christoph Janz and the team at Point Nine, plus the benchmark data published by Bessemer Venture Partners in their Cloud Index and Atlas, are the references I send founders.
Expansion revenue is the lever that separates a 3M company from a 10M one. To scale B2B SaaS ARR past the early plateau, you need a deliberate motion for seat growth, usage growth, and tier upgrades inside accounts you already won. I build the triggers: usage thresholds that prompt an upgrade, in-product prompts at the moment of value, and a sales handoff for accounts that cross a spend signal. Net new logos are expensive. Existing accounts are the cheapest revenue you will ever book.
Attribution holds the whole system together. If you cannot tie a paying account back to the channel and the message that won it, you are guessing. I wire server-side events, deduplicate against the source of truth in your data warehouse, and report on payers, not pageviews. Once the data is honest, the decisions get easy: scale what pays back, kill what does not. That is the entire job. To scale B2B SaaS ARR you do not need more tactics; you need a clear funnel, honest data, and the discipline to fund only what compounds.
A repeatable system, not more founder hustle. I fix retention first so net revenue retention clears 100%, then activation so new accounts reach first value, then expansion inside existing accounts. Only after the funnel converts do I scale paid channels against payback period. Each layer compounds the next, which is how you move from a few warm channels to a 10M engine.
Because acquisition on a leaky bucket loses money. If churn outruns new revenue, every dollar you spend funds the gap instead of growth. I pull cohort data on activation, day-30 retention, and expansion before touching ad budgets. Retention and expansion are the engine; acquisition is the headline. Fix the engine first and your paid channels suddenly pay back faster.
I model break-even CAC against payback period, not vanity ROAS. A channel that pays back in under twelve months on a net-retention-positive base gets scaled. Everything else gets capped or cut. I have managed over 100M dollars in budgets, and the rule never changes: spend follows proven payback, not optimism. Honest attribution tying payers back to channel makes the call obvious.
Expansion revenue is seat growth, usage growth, and tier upgrades inside accounts you already won. It is the cheapest revenue you will book, and it separates a 3M company from a 10M one. I build deliberate triggers: usage thresholds that prompt upgrades, in-product prompts at the moment of value, and sales handoffs when an account crosses a spend signal.
You get senior operator time without the full-time cost or ramp. I run growth as a system: diagnose the funnel, fix the highest-ROI gap first, and report on payers instead of pageviews. I plug into your data, set the priorities, and hand your team a clear playbook. It suits companies that need the strategy and execution now, not a six-month search and onboarding.
Getting to $1M ARR usually rewards founder hustle, a strong product, and one or two channels that clicked. None of that is a system. Pushing toward $10M exposes the gaps: the founder is the bottleneck on every deal, customer acquisition cost is creeping up as the easy demand runs out, and there is no repeatable motion a team can run without the founder in the room. Growth feels like it is getting harder for the same effort, because it is.
The job at this stage is to turn what worked into a machine: a clear ideal customer, a repeatable acquisition motion, healthy unit economics, and the first real growth hires slotted in the right order. That is operator work, not a strategy deck, and it is the arc I have run.
Funnel, unit economics, and channel analysis to find what is actually capping growth, not what feels broken.
Turn founder-led wins into a documented acquisition motion a team can run, across the channels that fit your buyer.
Diagnose CAC payback and retention so growth compounds instead of burning cash. See CAC payback diagnostic.
Hire the right roles in the right order so the team scales the engine instead of inflating headcount. See growth hiring sequence.
I find the real constraint: a thin top of funnel, a leaky middle, CAC payback that no longer works, or a founder dependency. We fix the binding one first.
I turn the founder-led motion into a documented, repeatable engine with owners, dashboards, and a clear ideal customer.
I sequence the growth hires, ramp them on the system, and step back as the team runs the engine without me.
I led acquisition at Elementor from roughly $200K to over $20M ARR between 2018 and 2020 as the company grew past five million users, which is the full early-scale arc and then some. I led growth at cnvrg.io ahead of its acquisition by Intel announced in November 2020 (TechCrunch), and I drove 337% MRR growth at Riverside as a growth operator. I have lived the moment when founder-led growth stops scaling and a system has to take over, which is exactly the transition between $1M and $10M. See the Elementor and Riverside case studies.
| Good fit | Not a fit |
|---|---|
| B2B SaaS between roughly 1M and 10M ARR | Pre-product-market-fit, still searching |
| Founder-led growth is starting to stall | Already have a strong VP and full team |
| Want a system, not just more spend | Want a media buyer to push budget harder |
| Ready to hire growth roles in sequence | Want to outsource growth entirely forever |
Scale-up work runs as a focused diagnostic or an embedded operator role.
2-4 week audit of your growth stack plus a 90-day roadmap. Fixed scope, converts to a retainer.
Hands on the engine through the scale-up. See fractional CMO for SaaS.
The first million rewards founder hustle and one or two channels. The next stage exposes the lack of a system: founder bottlenecks, rising CAC, and no repeatable motion a team can run. That requires building an engine, not more effort.
Both. On an advisor retainer I diagnose and hand you a roadmap. On an operator engagement I am embedded and hands on the growth engine through the scale-up.
The binding constraint: thin top of funnel, a leaky middle, broken CAC payback, or founder dependency. We fix that before anything else. See CAC payback diagnostic.
Sequencing growth hires correctly is central. The wrong role at the wrong time wastes runway. See growth hiring sequence.
A fixed-scope diagnostic sprint runs $6,000 to $8,000. Infrastructure builds start at $5,000 per month. A full embedded operator engagement runs $8,000 to $18,000 per month.
Yes. I led acquisition at Elementor from roughly $200K to over $20M ARR and drove 337% MRR growth at Riverside, which is exactly this arc.
Yes, both. See US expansion for Israeli SaaS if you are an Israeli company scaling into the US.
That is a strong moment to start, before founder-led growth stalls. See fractional CMO for post-PMF.
Book a 15-min call. I will tell you what is most likely capping your growth and what the scale-up actually requires.
Book a 15-min call. I will tell you whether this is your next move, or whether your money is better spent elsewhere.