Price: $238.99 - $188.22
(as of Jan 26, 2025 05:25:27 UTC – Details)
More Insights – IAMJOY fitness tracker uses high-precision sensors to accurately detect your health index and help you understand your health status better. You can set the interval time for automatic detection on the App, and easily achieve continuous monitoring of physiological data throughout the day.
Fitness Motivation – IAMJOY activity & fitness trackers match more than 50 exercise modes, built-in GPS, 24/7 automatic exercise tracking and exercise reminders; Screenless design, no fear of bumps; IP68 waterproof level combined with durable ABS material and cloth strap, it is an excellent choice for fitness equipments.
More features – Women’s health monitoring (including menstrual cycle and pregnancy), sedentary reminder, stress management, sleep quality tracking, step tracker and thermometer, etc. Care for You All the Way!
Longer Endurance – Our smart health watches have upgraded battery capacity and endurance. A full charge can last for 15-18 days in daily standby mode and 7-10 days in continuous working mode. Even when traveling, you don’t need to worry about frequent charging and monitoring interruptions!
Package Includes – IAMJOY health tracker*1, replaceable band*1, charger*1, user manual*1 and free App (compatible with iOS 10.0 or higher & Android OS 5.0 or higher). Scan the QR code on the manual, download the APP, and start your health journey with IAMJOY!
Worry-free After-sales: If you are interested in our health bracelet, please try it, I believe it will bring some new changes to your life. If you are not satisfied with the product, please feel free to contact us, we will provide you with a satisfactory solution within 24 hours!
Customers say
Customers find the fitness tracker accurate and comfortable to wear. It’s easy for them to set up with the app and understand. They appreciate its value for money and quality of the watch. The tracker provides detailed insights into their health, including sleep patterns and stress levels.
AI-generated from the text of customer reviews