Price: ₹9,999 - ₹3,699.00
(as of Sep 26,2024 18:42:30 UTC – Details)
Hybrid Active Noise Cancelling Headphones with 40dB: Music, streaming or talking the Crossbeats Roar Bluetooth headphones is a great product with benchmark active noise cancelling audio. With Ambient and ANC modes, you can switch between two different worlds to experience world class audio. With 40dB noise cancelling, these ANC headphones wireless are a must have gadget.
Immersive Bass Audio: Get yourself the best Bluetooth Headphones in the market, the Crossbeats Roar comes with 40mm Neodymium drivers and HyperBassTM technology that delivers outstanding concert level audio on these Headphones with ANC.
Comfortable Ear Cushioning: Bluetooth Headphones with ANC is a must have gadget, also comfort matter the most in such BT headphones, so we have constructed the Roar ANC Bluetooth headphones with superior cushioning and flexibility.
Focus Assisted Microphones: Roar Bluetooth neckband headphones comes with great microphone quality for crystal clear Bluetooth calling experience, they also capture voice with much consistency even in windy environments. Roar is a great work from home headphones that can also be used for everyday commute and light workouts.
Up to 100 hours Playtime: Whether you love to listen to music all day during commute, at work or even love to watch movies in the night, the Crossbeats Roar is a perfect entertainment partner. Comes with up to 100 hours playtime, you can max out your entertainment quotient without guilt. Roar is a type C Bluetooth headphone that delivers 10 hours of playtime with just 10 minutes of charging.
Customers say
Customers like the sound quality, value for money, and build quality of the headphones. They mention that the clarity and base are very good, and the headphones feel premium. Some appreciate the comfort, saying the super soft ear cushions won’t hurt their ears. Customers also appreciate the active noise cancellation, saying it works well. They also appreciate the battery life and connectivity.
AI-generated from the text of customer reviews
