Price: $7.79
(as of Sep 21, 2024 04:28:28 UTC – Details)
Hill’s Soft-Baked Naturals with Beef & Sweet Potatoes Dog Treats combine the delectable flavors of beef and sweet potatoes to create a deliciously savory treat. Beef is the #1 ingredient in these natural dog treats, supplying your dog with lean protein that helps maintain muscle. These natural, grain free dog treats are made without corn, wheat or soy, and contain no artificial colors, flavors or preservatives. Hill’s Soft Baked Naturals Dog Treats are made in the USA with global ingredients you can trust. Feed these treats as part of a healthy feeding routine and to complement other Hill’s dry and wet dog foods. For extra variety, try other Hill’s Soft Baked Dog Treat flavors, including chicken & carrots and duck & pumpkin. Hill’s 100% Satisfaction Guarantee: We’re confident your pet will enjoy Hill’s foods. We’re so confident that we offer a 100% money-back guarantee. If you are unsatisfied for any reason, return the unused portion to Amazon for a full refund or replacement. For more information on returning an Amazon purchased product, visit the Amazon returns center.
Is Discontinued By Manufacturer : No
Product Dimensions : 11.75 x 9.88 x 8.5 inches; 8 ounces
Item model number : 2449
Department : dog-treats
Date First Available : June 24, 2013
Manufacturer : Hill’s Pet Nutrition Sales, Inc.
ASIN : B00DURIQU6
Country of Origin : USA
Delicious, soft, grain free dog treats made with real beef
Natural dog snacks that provide the right balance of flavor and nutrition in every satisfying bite
Not artificially preserved or flavored
Made in the USA with global ingredients you can trust
#1 Veterinarian Recommended
Customers say
Customers appreciate the value for money and health of the pet food. They mention it’s a healthy treat and great as training treats. Customers are also satisfied with the size, flavor, and product quality. However, some customers have reported that the treats are hard. Opinions are mixed on the ease of breakage and softness.
AI-generated from the text of customer reviews