VC-backed Web3 platform aims to create sustainable marketing with AI
While bots threaten the authenticity of user engagement in the Web3 space, Midle emerges as a platform that uses AI-driven technologies to safeguard genuine interactions through its strategic partnerships.
Web3 projects often use on-chain and social media tasks such as sending messages, following or liking to increase their brand’s awareness. They generally reward users who complete these tasks with digital assets.
However, the Web3 landscape is disrupted by autonomous software, known as ‘bots,’ that mimic human actions and hijack rewards. Projects subject to bot intrusion suffer reputational damage and must spend additional resources to rid their systems of them. To establish sustainable and authentic interactions, marketing efforts need to be enhanced with anti-bot systems.
An AI-driven anti-bot model
Midle , a Web3-powered marketing platform from the GAMI ecosystem , utilizes artificial intelligence (AI) and a wide array of networks to integrate anti-bot technologies, ensuring genuine interactions. As a task-to-earn ecosystem, Midle presents innovative approaches to Web3 marketing by bringing together projects, users and influencers.
Users can collect points by completing tasks and get rewards, while brands increase user acquisition, retention and engagement by creating tasks and campaigns.
Midle provides tools to ensure authenticity, streamline marketing efforts and target specific user demographics. Source: Midle
Cointelegraph Accelerator participant Midle’s automated task system simplifies social media engagement and Web3 projects’ marketing efforts. When projects share a post on their social media accounts, Midle’s system can automatically create tasks such as ‘retweet,’ ‘like,’ and ‘comment’ for the post.
With the user segmentation being developed by Midle, Web3 projects will be able to appeal to a more niche audience by creating campaigns that only target users can see. For example, a gaming project will be able to develop campaigns focused only on users interested in Web3 gaming.
Forging partnerships to strengthen Web3 campaigns
Midle has partnered with Taiko Labs, which recently raised $37 million, to expand its ecosystem. The Web3 marketing platform launched a campaign of 500,000 Midle points for on-chain tasks after being integrated into the Taiko Katla testnet.
Beyond the Taiko partnership, Midle has received grants from blockchain networks such as BNB Chain , Nibiru Chain , and Plena Finance . Nibiru-specific campaigns on Midle will begin with the launch of Nibiru Chain on the mainnet.
Midle, which aims to achieve sustainable Web3 marketing, receives support from the ecosystem’s prominent names. Source: Midle
Castrum Capital, a venture capital (VC) firm specializing in Web3 initiatives, has backed Midle’s fundraising efforts by acting as the initial investor and leading the funding round.
Web3 evolves to become structured
Apart from investments and grants, Midle announced that the platform will launch its utility token this year. Midle has also developed a proof-of-humanity feature that will work as an extra layer to make anti-bot campaigns safer.
“The need for more corporate, measurable and sustainable platforms in the field of Web3 marketing is increasing day by day,” said the Midle team, adding, “In order not to be left out of the game, all Web3 companies have started to evolve into a more corporate structure.” Speaking hopefully about the future, they added:
“Especially with the inclusion of ETFs and institutional investors in the ecosystem, we will start to see more professional and corporate projects and companies in all areas of Web3.”
In the Web3 environment, platforms such as Midle facilitate the transition of businesses to the decentralized ecosystem by offering automated marketing processes, in addition to combating common bot intervention problems. The evolution of such AI-equipped platforms will enable more measurable and sustainable marketing campaigns and will also be instrumental in the long-term success of Web3 initiatives.
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