
Price: $7.97
(as of Dec 30, 2024 22:22:48 UTC – Details)
At Wellness™ Old Mother Hubbard™, we exist to nourish the life you share with your pets. We know every treating moment is a chance to show ‘em some love. That’s why our homestyle recipes start with all-natural, mouthwatering ingredients. Our soft baked cookies take your dog’s snacking to a new level of indulgence with delicious taste and smell and wholesome, healthy ingredients. These heart-shaped soft dog treats are all natural with no added artificial preservatives, and feature visible inclusions for an extra special treat. They’re made with real bacon and oats and drool-worthy maple aroma for a delicious and wholesome reward they’ll love getting and you’ll love giving. Try all of our mouthwatering biscuits in a variety of flavors and sizes to build your dog’s perfect snack pantry! Treat Them Well with Wellness™ Old Mother Hubbard™- Treats well made because moments matter.
Package Dimensions : 8.7 x 6.02 x 1.57 inches; 10.23 ounces
Date First Available : January 2, 2024
Manufacturer : Wellness Pet Food
ASIN : B0CRBJDN5V
Country of Origin : USA
WHOLESOME SOFT BAKED DOG TREATS: These naturally delicious soft baked dog cookies are made with real bacon and oats and yummy maple flavor that your dog will love.
ALL-NATURAL INDULGENCE: Made with all natural, healthy ingredients for the perfect guilt free indulgence your dog deserves- and no added artificial preservatives.
HOMESTYLE GOODNESS: Wholesome Indulgences dog treats are perfectly soft baked for a drool-worthy moist texture and real ingredients you can see!
LOVINGLY DELICIOUS: With a unique cookie-cutter heart shape for a homemade look and feel, every treating moment is a chance to show ’em some love.
MADE IN THE USA: Made with the finest globally-sourced ingredients for quality treats you can feel great about giving
Customers say
Customers appreciate the pet food’s pleasant smell, high-quality ingredients, and soft texture. They find it a good value for money and their dogs enjoy eating it.
AI-generated from the text of customer reviews