描述
Price: $74.99
(as of Nov 01, 2024 09:32:48 UTC – Details)
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Package Dimensions : 6.73 x 6.69 x 2.32 inches; 14.89 ounces
Item model number : DT-682
Batteries : 2 Lithium Polymer batteries required. (included)
Date First Available : June 13, 2024
Manufacturer : Jugbow
ASIN : B0D6YQ6HNQ
【4 Humanized Modes, Eliminate Bad Behavior Effectively】Our dog shock collar features 4 humane training modes: beep(standard), vibration(1-9 levels), safe shock(0-99 levels) and Shock Boost(10% higher). Enable you to set the right stimulation levels for your pet, which helps deter dogs from undesirable habits!
【Extended 4200FT Range & 2 Channel】With 4200FT impressive range, you can now have complete freedom while training your dog at the park, beach or in your backyard! The e collar supports 2 channels and has memory function for settings, easy to train 2 dogs simultaneously without resetting levels.
【IPX8 Waterproof & No Burden Collar】The training collar is IPX8 waterproof and upgraded lightweight, you can confidently train your dog without worrying about water damage or pressure on the dog’s neck. Let’s discover the convenience and versatility of our waterproof device today!
【Fits for All Sizes of Dogs】Made of skin-friendly and soft nylon strap, beep vibration collar fits for dogs with neck sizes from 7.8 – 24.4 inches and weights from 10-120 lbs. Dog training collars are suitable for large dogs, medium dogs, and small dogs.
【Safe Easy to Use】Designed with a safe lock button, just slide up to lock to lock the remote, preventing unintentional operation when putting it in your pocket during breaks. The remote is ergonomically designed, with large buttons and a clear functional layout, which is very helpful for dog training.
Customers say
Customers like the effectiveness, ease of use, and value for money of the animal collar. They mention it works well, is easy to put on, and is well worth the price. Some are also happy with the design and battery life. However, some customers have mixed opinions on the charging ability.
AI-generated from the text of customer reviews
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