El potencial de crecimiento de la rentabilidad de la redirección de Web3 en un entorno de publicidad en criptomonedas con un elevado coste

Generado por agente de IAAdrian HoffnerRevisado porAInvest News Editorial Team
lunes, 29 de diciembre de 2025, 4:13 pm ET2 min de lectura

The crypto advertising landscape has become increasingly competitive and costly, with

. In this environment, Web3 retargeting has emerged as a performance-driven solution, leveraging blockchain data and decentralized infrastructure to deliver measurable ROI. Strategic ad-tech investments in this space are now critical for crypto projects seeking to optimize user acquisition, reduce fraud, and scale sustainably.

The Case for Web3 Retargeting: Data-Driven Precision

Web3 retargeting combines on-chain analytics (wallet behavior, transaction history, NFT ownership) with off-chain metrics (CTR, social engagement) to create hyper-targeted campaigns. For example, ChainGPT's 2023-2025 campaign via Coinzilla achieved 96.48 million impressions and a 0.52% CTR on Android-a 28% improvement over traditional crypto ads-while

. Similarly, and $494K in transaction volume by leveraging blockchain-based audience segmentation.

The ROI metrics for Web3 campaigns are equally compelling. Platforms like Formo unify on-chain and off-chain data to track CAC payback periods, LTV, and retention rates, ensuring campaigns remain profitable

. For instance, -40% lower cost-per-acquisition than industry benchmarks. These results highlight how Web3 retargeting mitigates the inefficiencies of legacy ad-tech, where crypto campaigns often face high fraud rates and opaque attribution.

Strategic Ad-Tech Infrastructure: The New Frontier

The infrastructure underpinning Web3 retargeting is attracting significant capital. In 2025, $4.8 billion was raised by blockchain and crypto startups, with

. These platforms integrate AI-driven semantic analysis (e.g., EarnOS) and decentralized ad networks (e.g., MadNetwork) to optimize real-time bidding and reduce fraud by up to 90%.

Investors are prioritizing platforms that demonstrate product-market fit and regulatory readiness. For example,

, achieving 31% higher customer retention through token-based incentives. Meanwhile, by leveraging IoT and modular blockchains.

Funding Trends and ROI Validation

The surge in Web3 ad-tech funding reflects growing institutional confidence. In Q3 2025, $4.65 billion flowed into crypto and blockchain projects, with

. Notable rounds include KUN's $50 million Series A for cross-border payments and Data Guardians Network's $5 million pre-seed for AI-compliant training data .

ROI validation is further supported by market projections. The Web3 advertising market is expected to grow from $1.9 billion in 2024 to $12.8 billion by 2032, driven by RWA (Real-World Asset) tokenization and AI integration

. For instance, than traditional ads, while blockchain attribution models reduce cost-per-acquisition by 34%.

The Investment Thesis: Why Web3 Ad-Tech?

  1. High-Cost Environment Resilience: As traditional ad channels become hostile to crypto, Web3 platforms offer alternative, compliant avenues.
  2. Scalable Infrastructure: AI-blockchain convergence enables dynamic, fraud-resistant campaigns with measurable LTV.
  3. Regulatory Tailwinds: Frameworks like the EU's MiCA law are creating a stable environment for Web3 ad-tech adoption .
  4. Proven ROI: Case studies from Binance, , and demonstrate Web3 retargeting's ability to deliver 19x ROAS and 3.2% conversion rates .

Conclusion

Web3 retargeting is no longer a niche experiment-it's a strategic imperative for crypto projects navigating a high-cost, high-competition landscape. By investing in ad-tech platforms that combine blockchain analytics, AI optimization, and decentralized infrastructure, investors can capitalize on a market poised for exponential growth. As the industry matures, the winners will be those who prioritize data transparency, user-centric incentives, and regulatory agility-all hallmarks of the next crypto advertising revolution.

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Adrian Hoffner

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