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The $7B Illusion: Institutional Money Betting on Fake Crypto Users
Opinion analysis reveals that much of the hype around crypto adoption hides a stark truth: up to 70% of reported users are bots, Sybil wallets, or fake engagement, meaning institutional capital is flowing into inflated and misleading metrics, not actual human growth.
• User quality gap: Only ~30% of web3 marketing actually reaches real humans.
• Fake engagement impact: Most reported growth metrics overstate real adoption.
• Cost distortions: True user acquisition costs are 2–5× higher once fake accounts are filtered out.
• Institutional risk: $50B+ flows from institutions may be based on vanity metrics rather than real ecosystem usage.
The next crypto winners won’t chase raw signups — they’ll prioritize verified human engagement and real on‑chain activity.
#Web3 #InstitutionalMoney #FakeUsers #UserVerification #BlockchainGrowth $BTC $ETH $LINK
Opinion analysis reveals that much of the hype around crypto adoption hides a stark truth: up to 70% of reported users are bots, Sybil wallets, or fake engagement, meaning institutional capital is flowing into inflated and misleading metrics, not actual human growth.
• User quality gap: Only ~30% of web3 marketing actually reaches real humans.
• Fake engagement impact: Most reported growth metrics overstate real adoption.
• Cost distortions: True user acquisition costs are 2–5× higher once fake accounts are filtered out.
• Institutional risk: $50B+ flows from institutions may be based on vanity metrics rather than real ecosystem usage.
The next crypto winners won’t chase raw signups — they’ll prioritize verified human engagement and real on‑chain activity.
#Web3 #InstitutionalMoney #FakeUsers #UserVerification #BlockchainGrowth $BTC $ETH $LINK
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