2 in 1 Turn Signal Switch Inner22.2mm Motorcycle Switch Durable Horn Control Switch Motorcycles

Label:Yes Robust Material: Constructed from durable PP (Polypropylene) and TRR (Thermoplastic Rubber), this control switch ensures longevity and reliability, even in challenging riding conditions. These materials are chosen for their ability to withstand wear and external elements. Versatile Functionality: This 2-in-1 handlebar control switch combines both turn signal and horn functions, providing a practical solution for managing essential safety features during rides. Its universal application makes it suitable for electric bikes, motorcycles, scooters, and off-road vehicles. Extended Cable Length: Featuring a cable length of 166cm (65.35 inches), this control switch provides flexibility for installation, accommodating various vehicle designs and setups. The generous cable length facilitates easy connection to the vehicle's electrical system. Fashion Appearance: Finished in a classic black color, the switch maintains a discrete appearance that complements any vehicle's aesthetic. It blends effortlessly with existing equipment while enhancing the functionality of your ride with safety controls. Convenient Dimensions: With a mounting diameter of approximately 23mm (0.91 inches), this switch is designed to fit seamlessly on most handlebars. Its compact size of 60 x 17mm (2.36 x 0.67 inches) ensures it doesn't obstruct other handlebar functions or interfere with rider comfort.

Item Type: Turn Signal Horn Control Switch Color:Black Material: PP, TRR Mounting Diameter: Approx. 23mm(0.91in) Cable Length:166cm(65.35in) Product Size:60×17mm(2.36×0.67in) Application:  Suitable for motorcycles, e bikes, scooters and off road vehicles

Packing Include: 1 x 2 in 1 Turn Signal Horn Control Switch 1 x Plug in Accessory

Notes: 1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness. 2. Please allow slight manual measurement deviation for the data.