App Showcase: Go Viral

What it does

Go Viral is an AI-powered coach for TikTok content creators. Users can upload their videos before posting, and the app's AI analyzes them to predict performance metrics like views, likes, and comments. It also provides specific, actionable advice on how to improve various elements of the video, such as the hook, captions, and audio, to maximize its viral potential.

Where it shines

The app excels at making the value of its AI analysis feel both personal and tangible. The onboarding process isn't generic; it's a detailed quiz (00:23) that asks about a creator's specific goals and struggles. This investment pays off with a powerful 'Before & After' screen (01:07) that quantifies the potential impact, promising a concrete boost in views. The core analysis screen (02:20) is also well-designed, presenting predicted metrics clearly and then guiding the user to a list of specific improvements they can make (02:35).

UX highlights

• Personalized Onboarding: The app uses a six-question quiz (00:23 - 00:56) to tailor its analysis, asking about experience, audience, and struggles. This makes the user feel understood from the start.
• Quantified Value: Instead of vague promises, a screen at 01:07 shows a concrete projection: a potential increase of +7,000 views. This makes the benefit easy to grasp.
• Layered Feedback: The improvement suggestions (02:35) are organized into expandable categories like 'Hook' and 'Captions'. This breaks down complex feedback into manageable, actionable steps.
• Conversational AI: The feedback provided is written in a casual, encouraging tone (02:37), positioning the AI as a helpful coach rather than a critical tool.
• Transparent Paywall: The subscription screen at 03:12 features a visual timeline that clearly explains the free trial period, the reminder date, and when billing begins, which helps build trust.
• Demo-First Approach: The user gets to run a full analysis on a sample video (01:11), seeing the entire feedback loop before they are asked to analyze their own content or pay.

Monetization & growth

Go Viral uses a free-trial model that gates full functionality. After a comprehensive onboarding and a sample video analysis, the user is prompted to start a 3-day free trial to unlock the app's full potential (03:12). The paywall presents two options: a monthly plan and a discounted yearly plan, with the yearly option pre-selected. The app builds a strong case for its value through the onboarding quiz, social proof (00:57), and the sample analysis before presenting the payment screen, ensuring the user understands the benefits before being asked to commit.

Who it’s for

The app is clearly designed for aspiring and intermediate TikTok creators who are looking to grow their audience but may not have a deep understanding of the platform's algorithm. The educational, step-by-step feedback is ideal for users who want to move from 'guessing' what works to a more data-informed content strategy. It's for the creator who is serious about growth and willing to invest in tools to improve their craft.

Notes & opportunities

The core loop is strong, but the analysis results screen could be improved. The predicted metrics for likes, comments, and shares are locked behind the subscription (02:29), which feels like a slight bait-and-switch after the detailed free analysis. Showing a wider range or a qualitative prediction for free might be more effective at converting users. Additionally, the transition from the onboarding value promise to the first demo analysis (01:11) could be smoother; it feels slightly abrupt.