How Flirt AI achieved 83% monthly recurring revenue growth with audience targeting

Intro

Flirt AI is an artificial intelligence-powered application designed to help users "up their game" in social interactions, offering custom replies based on tone preferences. To reach their primary demographic, they needed to tailor the monetization experience accordingly.

Using advanced audience features, Flirt AI ran a multi-variant paywall test tailored to their target demographic, leading to explosive revenue growth.

The challenge

Flirt AI faced a critical demographic targeting challenge:

• Audience optimization. The team knew what their main demographic was, but they lacked the tools to specifically target this group with tailored paywall language, imagery, and CTAs.

• Multi-variant testing. They needed to test three different paywalls simultaneously to determine which one best resonated with their core users.

• Data integration. They needed to collect demographic data during onboarding and use it as a custom attribute to decide which specific paywall variant to show.

The solution

Flirt AI used Superwall's audience feature and custom attributes to run three different paywalls concurrently:

• Audience targeting. The team used data collected during onboarding as a custom attribute to segment traffic.

• Three paywall variants. Three different paywall designs and CTAs were tested simultaneously to figure out which one worked best.

• Product changes. The team combined the paywall design tests with product and pricing changes to maximize financial impact.

The results

By using audience targeting to optimize paywalls and product updates, Flirt AI saw immediate growth:

• MRR soared. Monthly recurring revenue (MRR) grew by 83% in just 30 days, demonstrating the power of rapid testing and iteration.

• Trial quality improved. The trial-to-paid conversion rate went up by 20%, showing that the winning paywall led to more dedicated users.

• Validated designs. The team learned what resonates best with their audience to apply in future paywall and product iterations.