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SaaS

We help SaaS companies grow without growing the team to match. We build onboarding that carries new accounts to their first win, support that answers repeat questions well, and alerts for accounts about to cancel or ready to upgrade. A person checks all of it. We measure results in monthly recurring revenue, not tickets closed.

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The problem

What holds SaaS growth back?

SaaS teams hit the same wall twice. First, onboarding cannot grow past the point where a person hand-holds every new account. Then support volume grows with revenue, and hiring is the only lever left. Both look like staffing problems. Both are really repeated work, which software can take on.

Four problems show up in most SaaS companies. More traffic does not solve any of them. More people does not solve three of them.

  1. 01

    Onboarding that needs a person every time

    If trials grow faster than activated accounts, signup works and onboarding does not. We track each new account's first session and find the step where people stall. Then we build the flow that carries them past it: a nudge written from what that account actually did, and a person only where it will change the outcome. Fixing this lifts your trial-to-paid rate, the share of trials that become paying customers. More traffic would not.

  2. 02

    Support that grows with revenue

    Each new group of customers brings the same questions. Answering them again is a tax on growth that nobody budgets for. We sort requests as they arrive and draft first replies from your own documentation. Anything unclear goes to a person with the full thread attached. We measure the quality of replies and the time to a useful one. Deflection is the wrong target, because an annoyed customer who was deflected is a cancellation with good reporting.

  3. 03

    Cancel and upgrade signals nobody reads

    The usage data that predicts a cancellation or an upgrade is usually already in your database. Nobody is looking at it. We agree the signals with your team and watch for them all the time. Each one goes where it belongs: a nudge to the customer, a task for customer success, or an upgrade conversation with the background already written.

  4. 04

    One blended cost hiding a broken channel

    One number for the cost of winning a customer hides the channel that is quietly losing money. We split paid, organic, AI search and referral into separate groups. Each gets its own payback period, the time it takes to earn back what it cost. You can then see which deserves more budget and which to switch off.

What we do

What we run for SaaS companies

Good questions

Common questions

Do you work with SaaS that has no revenue yet?

Yes, but the work is different and mostly not automation. Before product-market fit, meaning real demand for what you built, the job is finding which message and which customers respond at all. We run small paid tests and direct research. Automating something you still change every week makes it expensive to change.

Can automation improve trial-to-paid conversion?

That is usually where we start. We track the onboarding path and find where accounts stall before their first win. Then we build the flow that carries them past it, using what each account actually did. It is usually cheaper than buying more trials.

Will an AI support helper give customers wrong answers about our product?

It can if it is ungrounded, meaning it answers from general knowledge. Ours look things up in your documentation and product data first. We test every workflow against real past tickets before launch. Unclear cases go to a person with the full thread attached, and you can read the record of any reply it sent.

How do you measure a channel when the sales cycle is long?

By group. We follow each batch of customers through trial, first win, first payment and the months after. A channel is judged on the revenue it eventually produced, not on the day-one result. A slow channel that pays back well keeps its budget.

What reporting do we get?

Each month you see revenue by channel, the cost of winning a customer and its payback for each channel, and activation and trial-to-paid rates. You also see cancellations. For each live workflow you see its volume, how often it passes a case to a person and how it scores on tests. Then what we changed, what it did and what we test next.

Other industries

Same services, elsewhere

Next step

Ready to grow without growing the team?