See where users drop off and understand who comes back. No extra setup required.
A funnel is a sequence of events that represents a user journey. When you track events, funnels emerge naturally.
Example: E-commerce checkout funnel
product_viewed
1,000
100%
add_to_cart
450
45%
checkout_completed
180
18%
With Mostly Good Metrics, you define funnels by selecting events in order. We calculate conversion rates, drop-off points, and time between steps automatically.
Retention measures how many users come back after their first visit. It's the best indicator of product-market fit.
Example: Weekly retention cohorts
| Cohort | Week 0 | Week 1 | Week 2 | Week 3 | Week 4 |
|---|---|---|---|---|---|
| Dec 1 | 100% | 42% | 28% | 22% | 19% |
| Dec 8 | 100% | 45% | 31% | 25% | - |
| Dec 15 | 100% | 48% | 33% | - | - |
Each row is a cohort of users who started in the same week. Columns show what percentage returned in subsequent weeks. Improvements to your product should show up as higher retention in newer cohorts.
Where are users dropping off? Which step in the onboarding is causing friction? Funnels show you exactly where to focus your effort.
Are users actually getting value from your product? Retention is the ultimate measure of whether you're building something people want.
Track events once, get funnels and retention automatically. No separate data pipelines or complex setup.
With clear metrics, you can ship confidently. See the impact of changes immediately and double down on what works.
Drop in an SDK, track events, and see funnels and retention without extra setup.