The evolution of AI-driven marketing is fundamentally reshaping how brands engage with their audiences. We're witnessing a decisive shift from account-based marketing models to granular, individual-level personalization strategies. This transition matters because AI now enables real-time behavioral analysis at scale, allowing platforms to deliver hyper-targeted experiences rather than broad account-level campaigns. For the crypto and Web3 sector, this means projects can leverage AI to understand individual investor preferences, engagement patterns, and decision triggers—rather than relying on traditional account segmentation. The implications are significant: more precise targeting, reduced marketing waste, and potentially higher conversion rates for legitimate ecosystem participants. As AI capabilities mature, expect marketing strategies in decentralized finance and blockchain projects to become increasingly individual-centric, creating new competitive dynamics in community building and user acquisition.
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LazyDevMiner
· 5h ago
AI marketing is back to harvest more profits, talking all sorts of fancy nonsense just to squeeze out more money.
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airdrop_huntress
· 5h ago
ngl, this personalized customization approach feels like precisely harvesting people as leeks... but on the other hand, doing it this way in Web3 projects indeed makes it easier to find genuinely interested people.
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MetaverseLandlord
· 5h ago
AI marketing coupons have become like this... Is the next step directly mind-reading? Haha
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ruggedNotShrugged
· 5h ago
AI marketing is just a different flavor of the same old story; in the end, it still relies on community trust. No matter how precise the targeting is, it can't save a bad project.
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DegenWhisperer
· 5h ago
AI precise funding, but the ones truly making money are still the projects that understand community management... No matter how fancy the marketing is, it can't escape the fate of a rug pull.
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DefiPlaybook
· 5h ago
According to data, personalized targeting at the individual level can improve the conversion rate of Web3 projects by approximately 38%–44%. However, there is an overlooked risk: more precise data models mean more personal behavior data being collected, raising concerns about on-chain privacy issues.
The evolution of AI-driven marketing is fundamentally reshaping how brands engage with their audiences. We're witnessing a decisive shift from account-based marketing models to granular, individual-level personalization strategies. This transition matters because AI now enables real-time behavioral analysis at scale, allowing platforms to deliver hyper-targeted experiences rather than broad account-level campaigns. For the crypto and Web3 sector, this means projects can leverage AI to understand individual investor preferences, engagement patterns, and decision triggers—rather than relying on traditional account segmentation. The implications are significant: more precise targeting, reduced marketing waste, and potentially higher conversion rates for legitimate ecosystem participants. As AI capabilities mature, expect marketing strategies in decentralized finance and blockchain projects to become increasingly individual-centric, creating new competitive dynamics in community building and user acquisition.