Dashboard / Analytics
Analytics
Analytics answers one question end to end: of the people who started your funnel, how many finished, activated, trialed, and paid — and where did the rest drop off?
The funnel
The app-level Analytics page tracks a five-step funnel, with conversion rates between each step:
| Step | Type | Description |
|---|---|---|
| started | SDK | A flow session began. |
| completed | SDK | The user reached the end of the flow. |
| activated | SDK | The user was identified — they signed in or signed up. |
| trial_started | revenue | A free trial began (requires a revenue integration). |
| paid | revenue | Real money: a purchase or trial conversion. |
30-day overview
Above the funnel, metric cards summarize the last 30 days:
- Engagement — Sessions, Started flow, Completed flow, Abandoned flow, and Average time to complete.
- Revenue — Net revenue, Revenue per start, Refunded, and Paid users (populated once RevenueCat or Adapty is connected).
A campaign table breaks the same funnel down by acquisition campaign, using attribution data from the SDK or your MMP — so you can see which ads produce payers, not just installs.
Per-flow analytics
Every flow has its own analytics page (also reachable from the editor header): starts, completions, abandons, and a per-screen breakdown — entries per screen and the distribution of answers users chose. This is where you find the screen that's bleeding users and the quiz option nobody picks.
Experiments
A/B tests get the full funnel per variant, timeseries, and Bayesian decision support — covered in A/B experiments.