Product analytics tools like Amplitude and Mixpanel are genuinely useful. The friction most teams hit isn’t the features — it’s the invoice. Usage-based analytics pricing has a way of being cheap in the demo and expensive in production. Here’s how the models work, and why the bill grows faster than you expect.
The two ways analytics tools charge you
Most usage-based analytics vendors bill on one of two meters: events (every action you track) or MTUs — monthly tracked users. Both sound reasonable until you look at how they behave as a product grows.
Why event-based pricing surprises teams
The whole point of good instrumentation is to capture rich behavior: page views, clicks, scroll depth, form steps, custom events. But on an event meter, every one of those is a line item. The better you instrument, the more you pay — which quietly pushes teams to track less, exactly the opposite of what analytics is for.
Event volume also scales with two things at once:
- More users doing more sessions.
- More features, each adding new events per session.
Multiply those together and event counts grow super-linearly, so the bill outpaces your user growth.
MTU pricing has its own trap
Monthly-tracked-user pricing seems friendlier — you pay per person, not per action. But it penalizes exactly the traffic you want: a marketing spike, a launch, a seasonal surge. A great month for the business is an expensive month for the analytics bill, and anonymous visitors often count too.
What flat pricing changes
Nohmo takes the meter off the table. It’s a flat price per project with unlimited events — instrument as richly as you want, ship a viral feature, and the number on the invoice doesn’t move. Pricing you can predict a year out changes how freely you’re willing to track things.
The hidden second bill: error monitoring
There’s a cost most analytics comparisons skip: analytics doesn’t include error monitoring, so teams buy Sentry on top — a second SDK and a second invoice. Nohmo captures errors and crashes in the same SDK as your analytics, so consolidating removes a tool and a bill at once. If you’re auditing analytics spend, that’s the line worth questioning first.