# How Linearity Curve increased trial conversion by with a strategic opt-in paywall

> Linearity Curve used Superwall to A/B test a strategic opt-in paywall against a default trial, proving that more committed users outweighed fewer trial starts and lifting trial conversion rate by 10%.

Source: https://superwall.com/case-studies/linearity-curve

---

March 17, 2026 

#  How Linearity Curve increased trial conversion by with a strategic opt-in paywall 

Linearity Curve A/B tested an opt-in trial against a default trial with Superwall, increasing its trial conversion rate by 10%.

![Linearity Curve app icon](https://superwall.com/_astro/icon.BPZM1ris_Z1gNMGa.webp) 

Linearity Curve [ View on the App Store ](https://apps.apple.com/us/app/linearity-curve-graphic-art/id1219074514?uo=4) 

TL;DR

 Linearity Curve used Superwall to run an A/B test comparing a default trial against an opt-in trial that required users to explicitly choose it. The opt-in variant produced a 10% increase in the trial conversion rate, confirming that higher lead quality outweighed the lower number of trial starts. 

## Overview

 Linearity Curve is a professional, high-powered vector graphic design app used by creatives and professionals worldwide. With free trials as their primary conversion mechanism, it was essential to them to maximize quality sign-ups. 

 The Linearity team used Superwall to test a strategic hypothesis about user commitment and trial quality. 

## The challenge

 Linearity Curve was facing a challenge with user commitment after the free trial: 

* **Low-quality trials.** The previous model offered a default trial, which attracted users who didn't really intend to purchase. This meant lots of trial starts, but few conversions.
* **Commitment friction.** The team hypothesized that a user who actively chooses a trial is more committed to the product and therefore more likely to convert.
* **Complex flow testing.** Testing an opt-in feature would typically require intricate, time-consuming engineering work to manage the two variants.

## The solution

 Linearity Curve used an A/B test that directly compared users that opted in versus default users in the conversion funnel: 

* **Control paywall.** Featured a default trial offering, where the trial was automatically included in the initial purchase flow.
* **Variant paywall.** Featured an opt-in trial option, requiring the user to take an explicit action to select the trial before continuing.

 Analytics allowed the team to measure the user quality from each variant, validating whether the friction of "opting in" was profitable. 

## The results

 The experiment confirmed the team's hypothesis that including an intentional opt-in resulted in a higher quality user pool: 

* **Trial conversion rate soared.** The opt-in trial variant resulted in a 10% increase in the trial conversion rate, showing that the higher lead quality outweighed the lower trial starts.
* **Validated commitment model.** The test demonstrated that users who actively committed to the trial were more likely to find value and less likely to abandon the subscription.
* **Data-driven feature gate.** The team gained confidence in implementing behavior-based trial offers, knowing that intentional user choices lead to better outcomes.

## About Superwall

 Superwall is the centralized monetization suite that converts data into revenue. It provides product, growth, and engineering teams with a unified platform to deploy paywalls, manage subscriptions, and ensure every experiment is a profitable, data-backed decision. 

##  More case studies 

| March 13, 2026    | [ How Flibbo gained 20% growth by moving from static paywalls to instant A/B testing ](https://superwall.com/case-studies/flibbo)   | ![](https://superwall.com/_astro/icon.Ci3i0TBJ_Z1zPePe.webp) Flibbo     |
| ----------------- | -------------------------------------------------------------------------------------------------------------- | -------------------------------------------------- |
| March 9, 2026     | [ How LookLab AI doubled conversion with an optimized paywall strategy ](https://superwall.com/case-studies/looklab-ai)             | ![](https://superwall.com/_astro/icon.CjCHgenu_Z116Kj8.webp) LookLab AI |
| February 28, 2026 | [ How Flirt AI achieved 83% monthly recurring revenue growth with audience targeting ](https://superwall.com/case-studies/flirt-ai) | ![](https://superwall.com/_astro/icon.DzqnJMD4_LDG5v.webp) Flirt AI     |

##  Book a demo 

 Tell us a little about your app and we'll match you with the right person. 

* A personalized walkthrough of the paywall builder
* Guidance on your monetization and pricing strategy
* Custom implementation recommendations for your stack
* A look at proven paywall templates
* Revenue-optimization best practices

###  Thanks — opening your calendar 

 If a new tab didn't open, [click here to pick a time](#). 

Get started

##  Build, test, and optimize your paywalls 

Join 10,000+ apps using Superwall to grow subscription revenue without shipping an app update.

[Start for free](https://superwall.com/sign-up) 

No credit card required