Dog Clicker Training 3D

Android app by Astrologic Media. Tools · Astrologic Media

Store rating
3.49 / 5
Store rating count
1192
Download price
Free to download
In-app purchases
Listed by the store
Version
4.6.3
Listing last refreshed
2026-09-12

View the original store listing

Store description excerpt

Dog Clicker Training 3D turns your phone into an easy-to-use dog training clicker for puppies and adult dogs. Use clicker training and positive reinforcement to teach new tricks, improve obedience and reward good behavior. Simply tap the clicker at the exact moment your dog does something right, then follow it with a treat or reward. 🐾 How Dog Clicker Training Works Clicker training uses a clear sound to mark the behavior you want your pet to repeat. Tap the clicker when your dog follows a command or performs the desired behavior, then give a reward. It is a simple way to practice puppy training, obedience training, tricks, recall and everyday good behavior. 🌟 Features 🔵 Realistic 3D Dog Clicker Enjoy a responsive animated clicker designed to feel like a real training tool. 🔊 Clear Clicker Sounds Use crisp training sounds to clearly mark good behavior. 🎨 Custom Clicker Skins Personalize your dog clicker with different designs, colors and backgrounds. 🎵 Extra Training Sounds Choose additional sounds for different training sessions. 🐶 Dog & Puppy Training Useful for puppies, adult dogs and pets learning new commands and tricks. 🐾 Positive Reinforcement Training Reward good behavior and help your pet associate the click with a positive result. Dog Clicker Training 3D is easy to use at home or outdoors and is suitable for beginners as well as experienced dog trainers. Although designed primarily as a dog clicker, it can also be used for clicker training with cats, horses and other pets. Start training your dog or puppy today with a simple click, reward and repeat routine.

Review coverage

AppRill has captured 150 reviews for this app. This is a collected sample, separate from the store rating count. Latest review capture: 2026-09-12.

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