Taller - Maximize your height

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~$60.0K/mo· 25.0K+ Installs· 4.8 ★· 16 Steps· Health And Fitness

App Showcase: Taller - Maximize your height

App info

What it does

The Taller app positions itself as a personalized coach for maximizing height potential. It uses a data-driven approach, starting with an extensive quiz to gather biometric and lifestyle information. Based on this data, it predicts a user's future height and creates a custom plan of exercises and habits designed to help them reach their full growth potential.

Where it shines

The app's primary strength is its onboarding, which masterfully builds perceived value before ever showing a price. The in-depth quiz (00:17 - 01:15) makes users feel like they are receiving a truly bespoke analysis. The app then reinforces this with screens that quantify its credibility, such as the "98.5% Accuracy" claim at 01:25. This creates a powerful sense of anticipation and trust, which is then capitalized on by the paywall.

UX highlights

Monetization & growth

Taller employs a classic hard paywall strategy with no free trial. After the user invests significant time and personal data into the onboarding quiz, they are met with a locked report and a subscription screen at 01:52. The paywall offers two simple options: a Weekly plan and a 'Best Deal' Lifetime plan. The paywall screen itself doubles as a final feature tour, using a swipeable carousel to remind users of the benefits they will unlock, such as an exclusive community and a 24/7 AI coach.

Who it’s for

The app appears to be targeted at younger individuals, likely teenagers and young adults, who are still in their growth phase and are conscious about their final height. The focus on optimizing potential through habits and exercises suggests a user base that is proactive about self-improvement and willing to follow a structured plan.

Notes & opportunities

The onboarding flow is long and data-intensive, which could lead to drop-off for less motivated users. While the personalization is strong, the app shows a raw system notification prompt (00:02) without a custom warm-up screen, which could be a missed opportunity to provide context. The accuracy claim of "98.5%" is bold and effective for marketing, but it could also set very high expectations that might be difficult to meet, potentially leading to user disappointment.

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