Self-serve subscriptions create a very different operating reality. Once customers can start, upgrade, and cancel without human involvement, churn and retention become core metrics, not background noise.
Kitchn experienced that shift firsthand. The company builds paid social automation software for in-house and agency teams, helping performance marketers run and scale ad operations more efficiently. For years, Kitchn operated with a smaller base of high-ARPA customers, where annual contracts made reporting manageable with Stripe, the bank, and a spreadsheet.
Then the company launched self-serve.
After introducing a free trial, Kitchn added around 80 self-serve customers within the first five months. Exciting growth, but Co-Founder Martin Kreienbaum and the team quickly saw the operational shift underneath it.
Even when customers sign up via self-serve, they do not run on autopilot. Each new account brings onboarding questions, billing edge cases, plan changes, and support needs.
And the first thing to truly break was SaaS metrics reporting.
_“Very quickly, there was no way of keeping track of what was going on,” _Martin recalls. Getting accurate SaaS metrics often meant pulling raw data and relying on engineering help, which stopped scaling once self-serve activity picked up.
With dozens of new customers converting, churning, upgrading, and canceling on a much faster cadence, Kitchn could no longer rely on Stripe exports and spreadsheets to answer fundamental questions:
- How much new MRR did we add this month?
- Are trials converting into retained revenue?
- What is driving churn in self-serve?
- Which customer segment is growing fastest?
A faster business model required a faster reporting infrastructure.
From billing data to subscription clarity
Stripe continued doing exactly what it does best: processing payments, managing subscriptions, and capturing transactions reliably.
But Kitchn’s leadership team needed more than billing data. He needed cohort retention, churn visibility, and a clear view of recurring revenue as the business evolved week to week. That is where ChartMogul came in.
Martin had looked at ChartMogul before. When Kitchn was smaller, it felt like overkill, and spreadsheets were enough. But with self-serve growth introducing faster customer cycles, that approach stopped scaling.
Implementation was fast, and the team immediately gained clarity into retention, cohort behavior, and subscription trends.
Early wins: clearer markets, sharper segmentation
Once Kitchn’s data was centralized in ChartMogul, insights surfaced almost immediately. One of the first surprises was geographic. Kitchn expected most customers to come from its core markets, the US, the UK, and Germany. But ChartMogul revealed meaningful subscription activity in places like Lithuania and Australia.
ChartMogul also made segmentation sharper. Kitchn’s two core customer types, in-house marketing teams and agencies, behaved very differently once viewed side by side. Seeing those groups clearly helped Martin and the team spot retention patterns faster and understand which customers were succeeding most.
But visibility was only the first step. The next requirement was action.
Usage, revenue, and communication all together
Martin realized the need was not just better metrics, but a single customer record built on revenue truth.
Kitchn had used HubSpot before, but Martin found they were paying for features they rarely touched.
“A lot of teams spend a ton on HubSpot and then use maybe 10% of it,” he says.
What Kitchn needed was something simpler: workflows tied directly to subscription status, so sales and customer success could operate from the same reality.
ChartMogul already had the foundation. Because Kitchn was using it for subscription analytics, it instantly knew who was on trial, who was active, who was past due, and who had churned.
_“Having a central space that brings together usage, revenue, communication… it’s inevitable,” _Martin explains.
How Kitchn uses ChartMogul today
ChartMogul is now used across Kitchn’s go-to-market team, from sales and customer success to BI and the founders.
The team uses ChartMogul CRM to:
- assign every trialist an owner
- welcome new trials with templates
- manage deals and renewals in dedicated pipeline
- run weekly sales reviews
- keep every customer conversation tied to subscription history
For example, when a new trial starts, a rep can immediately see that customer’s plan, status, and history, send the right outreach, and track the relationship through conversion, all in the same place.
On the analytics side, Kitchn relies on ChartMogul for cohort retention, segmentation, and subscription performance as they continue iterating on the funnel.
What’s next
Kitchn is continuing to enrich customer profiles and trial funnel tracking, with deeper visibility into conversion signals like booked meetings, no-shows, and churn risk.
The direction is consistent: one customer record, full context, subscription truth at the center.
“It’s a great product,” Martin says._ “We’re a big fan.”_