WEB3
by BSCN
November 15, 2023
The "Ice and Snow Season" themed store, operational from Nov. 15 to Dec. 31, offers co-branded merchandise, including a Dairy Queen-WGG themed ice cream.
Dairy Queen partnered with the local NFT project Weirdo Ghost Gang (WGG), the renowned ice cream brand, to launch a pop-up NFT store in Chengdu, China.
The NFT store, themed around the "Ice and Snow Season," will be open from November 15 to December 31. A fusion of digital art and delectable treats, the pop-up store promises an immersive experience for patrons. Among the attractions is a range of co-branded merchandise, including the highlight – a Dairy Queen-WGG-themed ice cream.
In a move to reward its NFT community, WGG NFT holders will enjoy exclusive perks during the pop-up store event. The collaboration aims to blend the virtual and physical worlds, providing a novel and engaging experience for NFT enthusiasts.
Weirdo Ghost Gang has established a strong presence in the Asia-Pacific region, garnering a considerable following. The NFT collection features 5,555 "Lil Ghosts" NFTs created by Hong Kong Web3 holding company ManesLab in 2021. With a trading volume exceeding 21,510 Ether ($43.5 million) since its inception, the collection boasts a current floor price of 0.485 ETH ($995.2).
The recent collaboration goes beyond mere marketing efforts, aiming to provide consumers with a deeper understanding of NFT art intellectual property (IP).
The announcement comes amid a resurgence in the NFT market, with October witnessing over $574 million in trading volume, marking a 52% increase from the previous month. Ethereum continues to dominate the NFT blockchains, reporting a sales volume of over $279 million in the last 30 days, reflecting a 41% rise.
Disclaimer
Disclaimer: The views expressed in this article do not necessarily represent the views of BSCNews. The information provided in this article is for educational and informational purposes only and should not be construed as investment advice. BSCNews assumes no responsibility for any investment decisions made based on the information provided in this article
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