Price: $2.48
(as of Dec 19, 2024 16:42:50 UTC – Details)
Good ‘n’ Tasty® Triple Flavor Stacks with Peanut Butter are the perfect bite-sized snack for your pup! These yummy treats have layers with premium chicken, real peanut butter and tasty chicken liver. Made with no artificial flavors or preservatives and no colors from artificial sources, these treats are a snack you can feel good about giving your pup. Delivering fun ‘n’ flavor, these Triple Flavor Snacks with Peanut Butter are tasty treats your dog will love. This product is intended to be chewed. Always supervise your pet during chewing activity, especially if they are known to swallow their treats whole. Provide plenty of fresh drinking water and discard any leftover chunks or fragments. This product is intended for intermittent or supplemental feeding only. Treats should not exceed 10% of your dog’s daily caloric intake. Visit your veterinarian regularly and discuss your pup’s daily caloric requirements based on weight, size, breed, age and activity level. If you have questions about whether this product is right for your dog, consult with your veterinarian.
Package Dimensions : 7.64 x 4.49 x 1.5 inches; 2.08 ounces
Item model number : P-74540
Date First Available : April 23, 2024
Manufacturer : Spectrum Brands
ASIN : B0D2JCRNL8
Country of Origin : China
3 DELICIOUS FLAVORS IN 1 TREAT: Layers of tasty flavors dogs love
MADE WITH REAL PEANUT BUTTER: Made with premium chicken, real peanut butter and tasty chicken liver
NO ARTIFICIAL FLAVORS OR PRESERVATIVES: No colors from artificial sources
DELIVERING FUN ‘N’ FLAVOR: A snack you can feel good about giving your pup
GOURMET TREATS FOR ALL DOGS: Always supervise your pet during chewing activity
Customers say
Customers find the pet food tasty and soft for their dogs. They say it reminds them of potato chips and is good for their health. However, some customers report that the treats become stale quickly and are not all-natural. Opinions differ on value for money, breakability, size, and hardness.
AI-generated from the text of customer reviews
