Playbook

Promotions, Win-Back & Recovery Offers Without Shipping a Build

Launch promotions, win-back offers, and abandoned-transaction recovery flows from Superwall — targeted, A/B tested, and shipped by your growth team with no app release.

Capture the revenue leaking out of your funnel — launch promotions, win-back offers, and abandoned-transaction recovery flows without an app release.

Why it matters

Every app loses revenue it already earned. A user taps buy and hesitates. A subscriber lapses. A seasonal promo never ships because it is stuck behind a build and an engineering queue.

This is one of the most-requested jobs growth teams bring to Superwall: create targeted save offers, recovery flows, and promotional moments without turning every experiment into engineering work. Abandoned transactions and conditional discounts come up repeatedly as high-priority, high-converting opportunities — the revenue is right there, but the old way to capture it means a release cycle for every idea. Superwall removes that bottleneck. Offers become campaigns you launch, target, and test directly.

What you can do with Superwall

  • Launch promotions and win-back offers without an app release. Build and publish offer paywalls from the dashboard. Pair them with the user actions that should trigger them using campaigns, which connect placements, audiences, and the paywall you want to show.

  • Target the exact users who should see an offer. Campaign rules filter on user attributes you set via setUserAttributes, device properties, and event parameters — so a win-back offer reaches lapsed users and a recovery flow reaches people who abandoned checkout, not everyone.

  • Time recovery flows precisely. Rules support time-based filters like device.daysSince_X, so you can target users who have not purchased in N days, and frequency caps (for example, once per day or once per week) keep you from over-showing.

  • Send your best offer to your highest-intent users. Demand Score is a 1-100 value Superwall assigns each user indicating their likelihood to convert. Filter audiences by demandScore to route a stronger save offer to high-intent users and a different path to the rest.

  • Prove the offer actually lifts revenue. Run two or more offer variants head-to-head as an experiment, with sticky per-user assignment and a holdout control group to measure true lift against showing nothing.

How it works

  • Build the offer paywall. Start from a template or your own design in the editor — no build required to publish.

  • Create a campaign. A campaign connects placements (the user actions registered in the SDK, like abandoning a purchase or reopening the app) with audiences and the paywall to show.

  • Define the audience with rules. Use campaign rules to filter by user attributes, device properties, and time-based filters. Rules are evaluated in order, assignments are sticky per user, and frequency limits control how often an offer appears.

  • Target by intent (optional). Add a Demand Score range to your audience to reach high-likelihood-to-convert users with your strongest offer.

  • Test and measure. Start an experiment with two or more offer variants, set presentation percentages, and hold out a control group by keeping the total below 100%. Compare conversions and conversion rate per campaign.

Proof from customers

Across customer and prospect calls, promotions, win-back, offers, and abandoned-transaction recovery rank as the second-strongest demand signal — raised in 43% of relevant conversations. Customers consistently volunteer abandoned transactions and conditional discounts as high-priority, high-converting opportunities. The common thread: teams want to capture this revenue without making every offer an engineering project.

The dominant ask across the board is to “test anything, fast, without shipping a build” — and recovery offers are exactly where that speed turns directly into recovered revenue.

Use cases

  • Abandoned-transaction recovery: Show a targeted offer to users who tapped buy and left, triggered off the abandonment placement and limited to that audience.

  • Win-back lapsed subscribers: Target users who churned or have not purchased in N days using time-based rules, and present a discounted return path.

  • Seasonal and promotional moments: Launch a limited-time promo to a segment and publish it without a release.

  • Intent-based discounting: Route your strongest save offer to high Demand Score users while protecting margin on everyone else.

  • Offer A/B tests: Run competing discount, trial, and messaging variants head-to-head with a holdout to confirm real lift.

Get started

  • Read the campaigns docs to set up your first targeted offer.
  • Review campaign rules to define who sees it.
  • See how to start an experiment to test and measure it.
  • Create an account and start building at superwall.com.

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