What it does
Beam is a tanning assistant that aims to help users get a tan safely and effectively. The app combines real-time weather data, specifically the UV index, with a personalized skin analysis. Based on this information, it generates structured, step-by-step tanning routines with timers to guide users through their time in the sun.
Where it shines
Beam excels at providing immediate utility while strategically gating its more complex features. Upon opening the app, the user is instantly presented with the local UV index, a genuinely useful piece of information (00:08). This core data is made interactive through a clever hourly forecast slider that updates the main display in real-time (00:15). The app’s core monetization loop is also noteworthy; it allows users to perform a skin scan (00:37) but requires a subscription to unlock the personalized results (01:01), creating a strong incentive to convert.
UX highlights
- Interactive Data: Instead of a static chart, the hourly UV forecast is a draggable carousel that instantly updates the main UV index number, making data exploration feel fluid and engaging.
- Deferred Onboarding: The app avoids a lengthy initial setup. The complex skin analysis flow only begins when the user explicitly taps "start routine" (00:27), respecting user intent.
- Structured Routines: The tanning plan isn't just a single timer. It's broken down into a checklist of actions like "tan front," "swim," and "re-apply sunscreen," adding a layer of guidance and perceived value (02:10).
- Contextual Permissions: Permission requests are preceded by brief, clear explanations. For example, the location access prompt directly states it's for fetching weather information (00:01).
- Post-Purchase Reinforcement: After subscribing, a satisfying animation unlocks the skin analysis results (01:29), providing immediate positive feedback and confirming the value of the purchase.
Monetization & growth
Beam employs a soft paywall with a free trial. The core free feature is the UV index checker. To access the main value proposition, the personalized tanning routines, users must subscribe. The paywall is cleverly placed after the user has invested time in the skin scan but before they see the results (01:01). This creates a powerful conversion trigger based on curiosity and sunk cost. The app also uses an in-app rating warm-up prompt (00:41) to solicit positive reviews before showing the official App Store rating dialog.
Who it’s for
This app is designed for individuals who are actively trying to get a tan but want to do so in a more structured and informed way. The target user is likely conscious of sun safety but still desires a tan, seeking guidance on how long to stay out based on their skin and current weather conditions. It appeals to users who appreciate data-driven recommendations and routine-based activities.
Notes & opportunities
While the core loop is strong, the UI for the tanning routine could be improved. Once a timer starts, it covers a significant portion of the screen, obscuring the checklist of other steps (02:15). An error state also appears when the user tries to complete the routine without finishing all steps (02:52), but the message is generic. A more specific message, highlighting which steps are incomplete, would improve usability. Finally, the ability to edit the AI-generated skin analysis (01:52) is a great feature, but it's somewhat hidden and could be made more prominent.