Getting tons of trial cancels? Win them back.

Build a cancellation survey and conditional save offer, ship it without an app release, and test it until it actually keeps trials alive.

Trial cancels are the most expensive churn you have — you already paid to acquire the user, and they walk before the first charge.

Why it matters

A trial cancel before the first charge means your acquisition spend produces nothing. The hard part isn’t knowing you should intervene — it’s reacting fast. When your cancellation flow is hard-coded in the app, adding a “before you go” survey or a save offer means filing a ticket and waiting for the next release. By the time it ships, those trials are long gone.

This is one of the top jobs Superwall customers ask for: promotions, win-back, and recovery of revenue that’s leaking out of the funnel. The goal here is simple — catch the cancel at the moment it happens and route the user to the save most likely to keep them.

What you can do with Superwall

• Build a cancellation survey with conditional paths based on feedback — a documented primary use case of Flows, Superwall’s multi-page experiences built in the same editor as your paywalls.

• Branch each cancel to the right save offer. Routes evaluate a user’s answer and send them to different pages — so “too expensive” can route to a discount and “not using it” can route to a feature reminder.

• Target the right users with campaigns, where placements trigger the flow and audiences decide which users see which save offer.

• Update the survey, the offer, and the targeting anytime — campaigns are designed to run monetization strategies without app releases.

• Measure whether it works with the Trial Conversion chart, which tracks the percentage of trials that convert to paid subscriptions.

How it works

1. A user starts to cancel and is sent into a Flow — a sequence of pages strung together into a single experience in the Superwall editor.
2. They answer a short cancellation survey. Routes with conditional branching evaluate the response and send each user down the path most likely to keep them.
3. Targeting lives in your campaign: a placement triggers the flow and audience conditions decide which save offer each user sees.
4. You prove it by starting an experiment — add two or more variants to an audience and assign traffic from 0–100%, or keep the total under 100% to hold out a control group and measure lift.
5. You watch the Trial Conversion chart to see which save flow actually moves trial-to-paid.

All of it ships from the dashboard — no app release, no engineering queue.

Proof from customers

Across Superwall customer conversations, promotions, win-back, offers, and abandoned-transaction recovery rank as the second most common demand signal — customers volunteer conditional discounts and recovery flows as high-priority, high-converting opportunities. The most common request overall is faster paywall A/B testing and experimentation, which is exactly how you find the save flow that wins: split traffic, hold out a control, and keep the version that recovers the most trials.

Use cases

• Price-sensitive cancel: survey answer “too expensive” routes to a discounted save offer.

• Inactive trial: answer “not using it” routes to a feature reminder or re-engagement nudge.

• Missing-feature cancel: answer “missing a feature” routes to a roadmap note or alternate plan.

• Win-back test: run two save-flow variants head-to-head and let Trial Conversion decide the winner.

Get started

• Build your first cancellation save flow: Getting Started with Flows.

• Set up targeting and experiments: Campaigns and Starting an Experiment.

• Create a free account and start recovering trials at superwall.com.