Here's a pricing model working exactly as designed: your internal rollout succeeds, usage doubles — and your analytics vendor sends a bigger invoice. You are literally billed for the outcome you were hoping to achieve.
Per-MAU and per-event pricing made sense in the world it was invented for: one revenue-generating product, where more users meant more revenue, and the analytics bill was a rounding error against growth. Aim the same model at an enterprise's internal estate and every assumption flips:
So a rational team does the rational thing: it instruments the two or three apps that can justify the spend, and leaves the rest dark. The pricing model designed to monetize visibility ends up rationing it. That's the tax — paid not in dollars but in blindness.
Pricing isn't just a bill; it's an incentive system that quietly redesigns your measurement program:
When the price is flat per portfolio — never per user, never per event — the marginal cost of instrumenting the next app is zero, and behavior flips accordingly. Instrument everything becomes the default. The 40th app costs what the 4th did: nothing. Rollout success is unambiguously good news. And the political question "which apps deserve analytics?" simply stops existing — the same way nobody debates which teams deserve version control.
| Per-MAU / per-event | Flat per portfolio | |
|---|---|---|
| Marginal cost of the next app | A procurement conversation | Zero |
| Incentive on rollout success | Bill grows | Nothing changes |
| Coverage that results | 2–3 flagship apps | The whole estate |
| Who decides what's measured | The budget | The team |
"But usage-based pricing aligns cost with value!" For a customer product, sometimes. For portfolio intelligence, the value is the completeness of the picture — the ability to compare every app on one dashboard and retire the losers. A pricing model that penalizes completeness attacks the product's own value proposition. Charging per event for portfolio visibility is like charging a mapmaker per tree.