Vanity metrics that look
good in board decks.
Aggregated DAU/MAU ratios. Pie charts. Session counts. Numbers that tell you something happened, not why.
Cohort curves that show
exactly where users quit.
Per-event retention curves segmented by acquisition source, device, and build version. Down to the tap.
4 weeks of meetings
before you see data.
Sales calls, procurement, legal review, engineering sprint, QA. You're still in the dark while churn compounds.
SDK drop-in.
Data in 4 hours.
Two lines of code. Auto-capture for taps, screens, and crashes. Custom events in under an hour. No sales call required.
// iOS (Swift) import Metric Metric.configure( apiKey: "mk_live_..." ) // Android (Kotlin) Metric.configure(context, "mk_live_...")
"Contact sales for pricing."
Translation: prepare for surprises.
Headline number looks reasonable. Then: MAU tiers, event quotas, export fees, SSO add-ons, annual lock-in.
Per-event. Public.
No surprises at renewal.
Every feature, every export, every integration — included. Pay for events processed, nothing else.
Run your numbers.
Free. No sales call.
Work email and your App Store / Play Store URL. That's it. We'll have your first retention curve ready before your next standup.
"We found the exact screen where 31% of users rage-quit during onboarding. Fixed it in one sprint. D7 went from 19% to 27%."
"Metric showed us our ad waterfall was leaving $0.12 CPM on the table per impression. At our scale that's $340K/year."
"Integrated on a Friday afternoon. Had cohort data by Monday standup. Amplitude took us 3 weeks and two engineer sprints."