Business Analytics Advisor for $1M–$10M ARR B2B founders
Scaling past $10M takes more than one growth lever.
In 2–3 weeks, you'll know which ones to pull, with the conviction to defend it.
Previously at Meta, Adobe, Pantone, Mercer, and Meltwater.
You have data.
What you don't have is an answer.
Your numbers are in Stripe, your CRM, Google Analytics.
But you can't confidently say which growth levers are actually working.
The answer is buried in those numbers.
I find the answers in your data so you know exactly which growth levers to pull.
You built something when the safer move was obvious. No inherited playbook, no safety net.
Just a bet on yourself and the conviction to make it real.
That bet requires focus. Getting clear on the numbers was always going to be next.
You show up to board meetings knowing the stakes. You pull the reports.
But when someone asks which growth lever to pull, the honest answer comes out as "I think" when you need it to be "I know."
The ambition is still there. The decisions you're making right now deserve better than "I'm pretty sure."
If you know your product inside out but not which lever gets you there, you're in the right place.
An image keeps coming to mind when I think about how I got here: a mother bird pushing her chick out of the nest, forcing it to learn how to fly.
For 10 years, across Meta, Adobe, and other companies, the essence of my work was always some version of the same thing: turning data into a clear story that moved decisions. I didn't plan this career. I fell into it because people naturally turned to me when the numbers needed to make sense.
But after my third layoff, I stopped waiting for the right company. I made the same bet my clients make: on myself, outside the path I was supposed to follow.
Most founders making that same bet are doing it without knowing which growth levers to pull. You have the data. Not the answers. And the bets you're making right now will determine whether you scale past $10M.
The business was your idea. The execution is yours. I find the answers in your data so you can move forward with conviction.
When it works, it feels like a lightbulb going off. The answers were always there. I'm just the bridge.
PREVIOUSLY AT
In 2–3 weeks, you'll know exactly where to focus, and have the conviction to defend it.
Data request and an audit call to assess quality before the sprint begins.
Full analysis across your business, with a mid-sprint checkpoint to layer in your team's context.
Written findings, adaptive model, a final walkthrough, and a 2-week follow-up window.
Most clients continue with monthly ($5,000–$7,000) or quarterly ($3,000–$4,000) retainers for ongoing performance management, keeping KPIs and reporting current so they're never caught without an answer. The sprint builds the foundation. The retainer keeps it relevant.
Add-ons & extras
What gets surfaced. What gets decided.
Leadership assumed they knew what was driving adoption of their new AI-powered sales tool. The data had a different answer.
Their smallest advertisers were adopting fastest. Tighter budgets meant the efficiency gains mattered more.
Leadership stopped guessing and had a clear answer to build their go-to-market around.
Adobe Stock's growth had stalled and the team couldn't agree on why: demand problem or supply problem?
It was supply. People were already searching for content that didn't exist in the library yet.
With a clear answer to a question that had been holding decisions back, leadership knew exactly where to invest.
E-commerce sales were declining. Leadership had stopped looking for answers, writing it off as macro headwinds outside their control.
Their own data told a different story. Two controllable levers had been sitting unused the whole time.
Leadership stopped writing off the decline and walked away with a plan built around things they could actually control.
During pre-work, we do a data audit to assess quality and identify any issues. If significant cleanup is needed, we scope that separately before the diagnostic begins. This protects the sprint timeline and ensures we're working with reliable data.
Most models are built for a specific point in time and break when pricing changes or you add a new channel. The model I build is built around what doesn't change: your core unit economics and value creation mechanics. When tactics shift, the model still works.
A full-time hire takes 90+ days to ramp and costs $150,000–$200,000+ fully loaded annually. A fractional CFO runs your finance function. A data hire builds your pipelines and dashboards. None of them tell you which growth levers to pull, or give you the conviction to defend the ones you choose. The sprint delivers that, with a fresh outside perspective and pattern recognition from working across companies.
If you're making high-stakes decisions without knowing which growth levers to pull, let's talk.
We'll discuss whether you're a fit and what you'd walk away with.