What it does
Depuff AI is a mobile wellness coach focused on reducing facial bloating and enhancing facial aesthetics through personalized plans. The app uses AI-driven analysis of user selfies and photos of their meals to provide tailored routines, including facial exercises like Gua Sha, and guidance on diet and hydration. It aims to provide users with a structured path to achieving a more defined facial appearance.
Where it shines
Depuff AI's strength lies in its highly persuasive and structured onboarding process. From the moment the app opens, it guides the user through an extensive quiz (00:15) that builds a strong sense of personalization and investment. The app repeatedly uses compelling before/after visuals (00:21, 00:45) to keep the end goal in sight. The transition from a simulated "AI analysis" (02:36) to a personalized plan summary that is gated by a paywall (02:54) is a well-executed strategy that frames the subscription as the logical next step to unlock value the user has already helped create.
UX highlights
- Interactive Value Proposition: Instead of static images, the app uses an interactive slider (00:23) to demonstrate its 'before and after' promise, making the benefit feel more tangible.
- Conversational Quiz: The long questionnaire is broken down into single-question screens with emojis, making data collection feel more like a friendly chat than a form.
- Anticipation Building: The multi-stage "Generating Your Report..." animation (02:36) effectively builds anticipation for the personalized plan, increasing its perceived value.
- Clear Daily Structure: The main dashboard (04:09) is organized around a clear 'Today's Routine', simplifying the user's daily task and reducing cognitive load.
- Step-by-Step Routines: Exercise routines are presented with clear, numbered instructions and accompanying video loops (04:14), making them easy to follow.
Monetization & growth
The app's monetization strategy is built around a free trial that gates access to the personalized plan. The paywall is strategically placed at the end of a very long onboarding quiz (02:54). By this point, the user has invested significant time and personal data, creating a strong sunk-cost incentive to subscribe and see their tailored plan. The app presents a single yearly plan, simplifying the choice, and frames the cost in monthly terms ($3.33/mo at 03:15) to make it seem more affordable. A referral program is also available (05:38) to encourage user-led growth.
Who it’s for
This app is targeted at individuals interested in improving their facial aesthetics, often associated with the 'lookmaxxing' trend. The user is likely conscious of their appearance and looking for structured, actionable methods to reduce puffiness and achieve a more defined jawline. They are probably open to daily routines and tracking their lifestyle habits, like diet and water intake, to see tangible results.
Notes & opportunities
The onboarding flow, while persuasive, is very long and could be a point of drop-off for less motivated users. The app's error handling could be improved; for example, the 'Failed to upload image' message (04:59) is abrupt and provides no specific guidance. While the AI branding is strong, the app could further enhance credibility by showing more of the actual analysis results on the main dashboard rather than just progress metrics.