Nowadays, subscription models have gained significant popularity. Instead of purchasing items individually, you pay a fixed monthly fee to access a variety of products or services whenever you like. This model is versatile and caters well to various industries, from streaming services to clothing and even shaving products. Surprisingly, taco subscriptions have also entered the scene, proving to be an interesting addition to the subscription trend.
In a recent move, Taco Bell has initiated a trial run of a new scheme named the “Taco Lover’s Pass” in Tucson, Arizona. For a monthly fee ranging from $5 to $10, depending on the location, customers can enjoy a complimentary taco from Taco Bell every day for a month. The pass covers a range of taco varieties, including the classic crunchy tacos, soft tacos, potato tacos, and the popular Doritos tacos. Subscribers are provided with a special feature in the Taco Bell mobile app, enabling them to add their daily free taco to their order when making a purchase.
Taco Bell tests 30-day taco subscription to drive more frequent visits https://t.co/Z0pTagEcdH
— CNBC (@CNBC) September 13, 2021
This initiative by Taco Bell is not a first in the food industry, as other chains like Burger King and Panera Bread have previously experimented with subscription services, albeit focusing solely on coffee offerings. Taco Bell aims to attract customers with an affordable introductory price and complimentary tacos, subsequently encouraging them to join their loyalty program. According to Yum Brands, Taco Bell’s parent company, customers enrolled in the loyalty program tend to spend up to 35% more during their visits to the restaurant. Moreover, the subscription program provides valuable insights into consumer behavior and spending patterns, allowing Taco Bell to tailor their offerings and promotions more effectively.
The Taco Lover’s Pass will be accessible through the Taco Bell app in Tucson areas until the end of November. Whether Taco Bell will extend this program to other locations remains uncertain.
