App info
Presets is a mobile app that provides a vast library of photo filters, known as presets, for the Adobe Lightroom mobile app. It serves as a marketplace for users to discover, preview, and export professional-looking styles to apply to their own photos. The core function is to simplify photo editing by offering one-tap transformations for various aesthetics, from moody travel shots to clean, professional portraits.
The app excels in its presentation and organization of content. The main dashboard (00:55) is clean and highly visual, with well-curated collection covers that immediately convey the aesthetic of the presets within. The interaction for previewing a specific preset collection is smooth, allowing users to swipe through examples effortlessly (01:18). A particularly nice touch is the 'long press to show a preset' feature, which gives a quick glimpse without committing to a full screen change, making browsing faster and more fluid.
The app's monetization strategy is front and center. After a very brief onboarding flow, the user is met with a hard paywall (00:24) that gates access to the entire app. The offer is a single plan: a 3-day free trial that converts to a weekly subscription. The paywall screen itself is simple, emphasizing 'Unlimited Access' and using a dynamic background of example photos to reinforce the app's value. The app also employs a multi-layered rating prompt during onboarding (00:12 - 00:20) to encourage positive App Store reviews.
This app is primarily for amateur photographers, social media influencers, and content creators who use Adobe Lightroom Mobile. It targets users who want to achieve a professional or stylized look for their photos quickly without mastering complex editing tools. The focus on popular aesthetics like 'Bali' (02:45) and 'Caramel Dubai' (01:12) suggests a user base that is active on platforms like Instagram and values trendy visual styles.
The reliance on a mandatory tutorial (01:33) is a double-edged sword. While it educates users, it also creates a significant hurdle before they can experience the app's core value. An alternative could be an optional, context-aware tutorial that appears only when a user seems stuck. Additionally, the main dashboard's loading state (00:52) uses a shimmering placeholder, which is nice, but the actual image loading feels a bit slow, which could be improved for a snappier first impression.
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