See exactly where your users drop off, and why.
Zortilla tracks what people do in your app or website, shows where they leave, predicts who's about to stop using you, and answers your questions in plain language.
Most drop-offs here happen on Android after the delivery-fee screen loads. A fee shown late is the likely cause. Try showing the fee on the menu page.
Ask your data like you'd ask a colleague
Type a question in plain language. Ask Zortilla picks the right events, builds the chart, checks segments for you and explains what changed.
- Answers with evidence. Every answer links to the chart, the events and the date range it used.
- Finds the segment that moved. Platform, country, source, app version and plan are checked automatically.
- Labeled as an estimate. When an answer is a guess about the cause, it says so.
Tracking set up in minutes, not sprints
Drop in one SDK and Zortilla captures screens, taps and page views on its own. Then click any button in the no-code tagger to turn it into a named event.
- Typed SDKs for web, Android, iOS, React Native and Flutter, plus a server API.
- Light on your app. Events are batched, compressed and sent when the network is free.
- Masked by default. Inputs and personal fields never leave the device unmasked.
Every drop-off, with a reason attached
Build a funnel from any events in seconds. Zortilla looks at what users did right before they left and groups the exits into reasons you can act on.
- Split by any segment and spot the platform, version or campaign that converts worse.
- Time to convert for each step, so slow steps show up next to leaky ones.
Share of users who left, matched by the last event before exit. Estimates, linked to the sessions behind them.
See who comes back, and what brought them
Cohort curves for week 1, 2 and 4, split by the features people used. Find the habit that keeps users, then push more people toward it.
Explore Retention CurvesKnow who's about to leave before they do
A daily list of users likely to stop using your product in the next 14 days, the signals behind each prediction, and a one-click export to your messaging tool.
See Churn Predictor| User | Risk | Top signals |
|---|---|---|
| u_48211 | 86% | No order in 19 days, 3 failed coupons |
| u_30977 | 79% | Sessions down 70% week on week |
| u_51203 | 72% | Uninstalled push, cart left twice |
| u_12840 | 64% | Only opens on weekends now |
| u_77310 | 58% | Support ticket unresolved 6 days |
Points added to the risk score by each signal. Model refreshed 2 hours ago.
The paths users really take, and what to test next
Journey Maps show the routes behind every conversion and exit. Experiment Coach ranks tests by expected impact and reads results back in plain language.
orders
orders
orders
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Built to be trusted with product data
Events, not content
Zortilla records actions like taps and page views. It does not read messages, files or what users type.
Masked by default
Sensitive fields are masked on the device. You can add your own masking rules per screen.
Delete on request
Remove one user or a whole cohort from every report through the dashboard or API.
Never used to train for others
Your data belongs to you and is never used to train AI for other customers.
Before you sign up
Do we need developers to set it up?
Does it work for websites and apps?
Is user data private?
Can it replace our current analytics tool?
How are events counted?
Is there a free plan?
You made it to the bottom. Now let's get your users here.
Every page you scrolled past was a step in a funnel. Install Zortilla and see the same picture for your own product, with the reasons people leave at each step.