Think of me as a doctor for your subscription business. I examine how your customers actually behave, I diagnose the real reason they stop paying, I write you a clear prescription, and I stay with you while we treat it. This is not a tool, a dashboard, or a template. It is the judgement of someone who has spent years reading the human signals behind why people leave, and who knows how to fix them.
You are probably doing a lot of things right. But there are a few patterns that show up in almost every subscription business at this stage, and they tend to compound until they become genuinely expensive.
Where customers slow down, disengage, stop paying, or leave before the value lands.
Onboarding, lifecycle flows, win-back logic, pricing signals, and retention plays that keep revenue moving.
Marketing owns acquisition. Support handles tickets. But the space between sign-up and renewal belongs to no one. That's usually where the most preventable churn lives.
Churn rarely announces itself. It builds slowly underneath growth that simply feels harder than it should, and by the time the numbers look clearly wrong, you have already lost months of revenue that could have been recovered.
You might already have HubSpot, Stripe, Mixpanel, Intercom and a CRM full of dashboards. All of them can show you what happened, but none of them can tell you what to change, in what order, or what it is genuinely worth to fix. That gap between data and decision is exactly where I work.
Senior retention talent costs $8,000 to $10,000 a month before they're productive. For most growth-stage businesses, there's a better way to get this work done.
"Every month you wait to fix this, you lose the same amount again."Churn keeps compounding in the background, and by the time the numbers look obviously wrong, months of recoverable revenue have already slipped through.
Some founders want a clear picture before committing to anything bigger, and others already know exactly what they need. Either way, there is a starting point that fits where you are right now.
A clear view of what is costing you revenue and what should be fixed first.
The flows, playbooks, and customer moments built properly, not just suggested.
I go through your full subscription lifecycle, including your data, your customer flows, your team, and the customers who stopped paying. You get back a report that shows exactly where revenue is leaking, why it is happening, and what to do about it first, with an estimated revenue impact attached to every recommendation.
I work as part of your team for three months. We take the findings from the audit and actually build the things that fix them. Onboarding sequences, lifecycle emails, win-back flows, upgrade triggers. Everything documented and handed over so your team can run it after I step back.
Drag to match where you are. A small improvement compounds every month from here.
Walk me through what has been happening with your numbers. I will listen closely, ask a few precise questions, and we will start to understand what is really going on underneath it. You will leave that first call already seeing your business more clearly than when you arrived.
Over the next two weeks I examine everything that matters, from your data and your flows to your onboarding and the customers who stopped paying. You get back a clear picture of what is leaking, why it is happening, and what to fix first, ranked by revenue impact.
If the findings point to a bigger engagement, I come on board for three months and we build the things we identified. You leave with a working retention system and a team that knows how to run it.
Each card shows the same problem from two angles. Tap to flip between what AI tools give you and what working with me actually looks like.
A dashboard tells you 40% of users churn at week three. It cannot tell you which specific action, or lack of one, is the real cause, or what you should do about it.
I look at your specific cohorts, talk to the users who left, and tell you the one thing causing most of the drop, with an estimated revenue impact attached to it.
AI generates a comprehensive list of things that might be causing churn. Comprehensive, generic, and overwhelming. You still have to figure out which one actually applies to you.
I look at your business specifically and tell you the single most valuable thing to fix first. Then we fix it together, instead of working through a list indefinitely.
Churn prediction tools flag accounts that are likely to leave. They do not fix why those accounts are leaving. The number stays the same.
I work on the underlying reasons subscribers leave, starting with the onboarding gaps, the pricing misalignments, and the missing lifecycle moments, which is the only thing that actually moves the number.
When an AI recommendation doesn't work, there is no one responsible. No follow-through, no adjustment, no relationship. Just the next suggestion on the list.
My reputation depends on your results. If something isn't working, I'm the one who finds out why and adjusts. That accountability changes the quality of every decision I make.
I can see why customers leave before the numbers ever show it.
I read the same signals a good analyst reads, like the activation that never quite happens, the cohort that drops off around month three, or the feature nobody ends up adopting. The difference is that I also read the human reason sitting underneath them. People do not churn because of a metric. They churn because something confused them, or stopped fitting the way they work, or stopped feeling worth the money. I find that reason, and I find it early, while there is still time to act on it. I also think in the numbers that decide whether a subscription business makes it, like net revenue retention, lifetime value, and the payback on every fix I put in place.
I spent years in world-class luxury hospitality, where the most demanding people expect to be understood completely, and time inside one of the biggest social gaming platforms in the world, where thousands of small interactions either build loyalty or lose it. More recently I led the customer experience and retention for a luxury SaaS and membership business, where I shaped the onboarding, set the pricing, wrote the win-back emails, and looked after the relationships that kept members coming back. I have done this inside a startup, on a small team with no ready-made playbook, where you end up doing a bit of everything yourself. That fast, build-as-you-go environment is one I know well and genuinely thrive in.
That is why I built this practice. I get inside your subscription business, find the real reason your customers are leaving, and build the fix alongside you. Not a dashboard. Not a template. Me.
I have worked across every stage of the customer lifecycle, from a customer's very first activation all the way through long-term retention and win-back, and I have done it across many different business models and types of customers.
Every finding I give you comes with an estimated revenue impact, so you always know exactly what something is worth before you decide to act on it.
I build the things I recommend, including the onboarding sequences, the win-back flows, the cancel deflection, and the health scoring. I work alongside your team and stay until the system keeps running on its own after I step back.
Every engagement is fully confidential. The patterns I've learned inform how I work. The client names and specifics stay private.
Fifteen minutes. I will give you an honest read on what I am seeing and whether I am the right person to help. You will walk away with real clarity either way.