If Nothing Else – Segment Churn. You’ll See Patterns and Learnings You Wouldn’t Otherwise

Churn is not a standardized metric, leading many SaaS companies to misinterpret their business health. By segmenting churn into distinct customer tiers, businesses can uncover hidden patterns and address retention issues with targeted strategies.
Churn is not a GAAP metric. It doesn’t have a universal definition. Public companies and startups all seem to define churn differently. And even hide it in part, by doing so.
I learned this myself starting out as a B2B CEO. I compared us to the only public company in our space, back in the day, and noted a curious thing. This public company did break out churn in their public documents (not every company does). But they excluded churn in the first 60 days. Why? Their answer: because it was a trial period, and they felt churn there did not represent long-turn churn risk. But also, part of the answer I am sure is that churn was much higher in the first 60 days. 🙂
In any event, what I learned from that was to segment churn. I quickly segmented our churn into three segments:
Single-seat and deals < $99/month. We had about 3% a month churn here measured by revenue. They turned over fairly quickly, as credit cards expired, jobs changed, etc. Even today, I see many “solopreneur” businesses churning at about 3% a month. Single person businesses. They just … go under. A lot more often than Fortune 500 companies do, that’s for sure.$99-$999/month deals. These “credit” card deals had about 100% net revenue retention, for us, after churn. Turns out, this is pretty similar to Hubspot, for example. And Zendesk. And so many others in this zone.$10k-$100k+ and up deals. These deals had about 120% net revenue retention. Turns out, this is a lot like other B2B SaaS companies that sell to the enterprise. See Box’s bigger customers, Salesforce, etc.
As time went on, we expanded the size of each category (our “Big” Deals went from $12k a year to $120k a year and beyond). But the segmentation, and metrics, were roughly similar.
**Churn **should be naturally higher in smaller business segments than larger ones. If you don’t segment it — no one will see that.
shouldbe naturally higher in smaller business segments than larger ones. If you don’t segment it — no one will see that
Also, if you don’t segment churn, it will likely look higher with bigger customers than it really is. And you will be trying to attack different churn problems with the same answers. Keeping big customers happy really is different than keeping small businesses from seeking a cheaper tool.
And just see where the money goes. Even if churn is higher than you’d like based on certain metrics, if at the end of the day, you retain a lot of the money, that’s maybe fine.
And if you want to exclude trials and POCs from churn, that’s OK too. Just don’t call them recurring revenue if you exclude it. Segment them out as a POC/trial revenue, and don’t count the deals as part of your core MRR/ARR until the trial/POC ends and converts. Churn is often much lower if you segment POCs and trials from post-trial revenue.
**Whatever you do, and however you do it, segment churn and track the money. **
**And also segment NPS and CSAT as well per segment. **NPS and CSAT also often vary widely by segment. Double down on the happiest segments, usually. And the segments growing the fastest.
**You will see new things, and new patterns. **
And maybe — it’s not as bad as you think. Or at least different than you think. Blended churn metrics only confuse things. Big companies will stay for years if you provide them a true solution. But individual and small customers … well … even if they are very happy, they will come and go.
Source: SaaStr












