Price: $36.99 - $28.99
(as of Nov 26, 2024 23:39:48 UTC – Details)
Product Description
【 Patent Anti Shake】 The motorcycle phone mount equipped with patented vibration dampener, effectively reducing the vibration generated when the engine is running at high speed. The four damping springs on the metal board can effectively absorb vibrations, protecting your phone camera from being damaged.
【 Shock Absorption Silicone】 The four corners of phone clamp are covered with cushioned rubber pads, protect your phone from crashing. The handlebar clip is also covered with no-slip pads, making sure your phone stays secure and visible during riding. Ensuring your phone stays protected even at high speed.
【 Sturdy & Safe】 This motorcycle cell phone mount is made of high-quality alloy and composite plastic, ensure the durability and reliability during riding. The phone clamp is also equipped with soft silicone to tightly wrap your cellphone, keep your phone from scratches and falling.
【 Wide Compatibility】 This universal bike phone mount can fits 4.7 – 6.7” phones, like iPhone 16/ 15/ 14/ 13/ 12 Pro Max, iPhone 16 Pro, iPhone 16/ 15/ 14 Plus, iPhone Xs, Xs Max and more. The max thickness that the phone clip can hold is 0.59″. The handlebar clip is suitable for handlebar with diameter of 0.59 – 1.57″ (15-40mm). Not compatible with Galaxy S23 Ultra, S24 Ultra. The max height/ width of the phone clamp is 6.54″ (166mm)/ 3.11″ (79mm).
【 One Hand Operation】 This phone mount for motorcycle adopts upgraded handlebar clamp and security lock. Enjoy the fast installation and it only takes 1s to lock the phone. Easy to install your smartphone with one hand and also quick release.
Customers say
Customers like the functionality, build quality, and phone hold of the portable electronic device mount. They mention it works well, is well-built, and holds their phones securely as they ride. Some are satisfied with the ease of installation, design, and phone mount. However, some customers have mixed opinions on the fit and vibration damping.
AI-generated from the text of customer reviews