Watchful Wear
Christopher Schultz Lifestyle iPhoneiPadiPod touch
Watchful Wear is a free Lifestyle app for iPhone and iPad by Christopher Schultz. Rated 5.0/5 from 1 ratings. Requires iOS 13.0. Updated November 10, 2025.
- Rating
- 5.0
- 1 ratings
- Price
- Free
- on the App Store
- Size
- 42 MB
- Age 12+
- Updated
- Nov 10
- 2025 · v1.0.1
Screenshots
About Watchful Wear
Watchful - Your Timepieces, Perfectly Managed See Your Collection Like Never Before Comprehensive Collection Management Catalog your entire watch collection with detailed specs, purchase history, and high-quality photos—all organized in one place. Analytics & Valuation Insights Track collection value, monitor trends, and view detailed performance metrics through clear, data-driven visuals. Smart Wear Tracking Log daily wear sessions with an interactive calendar and see which watches get the most wrist time. Achievements & Milestones Earn badges and XP as you add watches, track wear sessions, and reach new collecting milestones. Private Local Data Storage Your collection data stays on your device. Export or import it anytime—no cloud, no sharing, completely yours. Your Data Belongs to You. Modern, Intuitive Design A refined interface featuring a clean grid layout, smooth animations, and full dark mode support. Your Data Belongs to You. We respect and never share your collection details. All information is stored securely on your device with optional backup. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
What’s new
Version 1.0.1 · Updated November 10, 2025
Fixed a metrics bugs. Fixed a bug where the screen doesn't rebuild when returning to the app. Fixed a bug where the screen doesn't rebuild after a subscription has been made.
App privacy
The developer, Christopher Schultz, reported these privacy practices to Apple.
Data Not Linked to You
The following data, which may be collected but is not linked to your identity, may be used for the following purposes:
- Usage Data: Advertising Data
Used for: Third-Party Advertising, Analytics