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Example Use Cases

Explore practical ways to leverage Wallet Intelligence to drive growth, improve user engagement, and enhance platform security. Our set of use cases demonstrates how developers can harness onchain wallet data to unlock insights and take actionable steps. Whether you're personalizing user experiences, targeting high-value users, or safeguarding your platform from fraudulent behavior, Wallet Intelligence can help. You'll see how Wallet Intelligence can be seamlessly integrated into your projects with step-by-step examples to maximize blockchain data's value.

📄️ 🛡️Bot Shield

Bot Shield leverages Wallet Intelligence to protect your application from bot activity by flagging suspicious wallet behavior. By analyzing specific transaction patterns such as high transaction velocity, timed or continuous transactions, and suspicious wallet networks, developers can identify wallets likely to be bots. This allows you to block these flagged wallets from participating in certain events or features, or create friction for them, ensuring a more secure and genuine user experience.

📄️ 🛍️ Dynamic Incentives

Dynamic Incentives empower Web3 developers to design personalized offers and incentives based on comprehensive wallet metrics such as wallet value, spending behavior, hodler score, and overall blockchain activity. By leveraging Wallet Intelligence, developers can tailor incentives relative to each user's value, ensuring that all users receive offers that are appropriately scaled to their engagement and worth. For example, developers can use spending behavior to offer exclusive discounts or rewards to frequent spenders, or use hodler scores to provide special benefits to long-term holders.

📄️ 🤖 Quality Scan

Quality Scan leverages Wallet Intelligence to provide a comprehensive analysis of a group of wallet addresses, identifying and flagging suspicious behaviors. By analyzing specific bot behavior metrics such as high transaction velocity, timed or continuous transactions, and suspicious wallet networks, developers can gain insights into the prevalence of bots within a specified group of wallets. This bulk analysis helps developers make informed business decisions, enhance platform security, and ensure a more genuine user base by understanding the bot landscape within their audience.

📄️ 🎁 Airdrop Optimization

AirDrop Optimization leverages Wallet Intelligence to enhance the precision and effectiveness of airdrop campaigns by providing detailed insights into wallet addresses and their associated metrics. By analyzing wallet value, transaction history, spending behavior, and engagement levels, developers can identify potential bots, assess value distribution, and measure participant engagement. This comprehensive analysis allows developers to refine and optimize their airdrop strategies to target genuine, high-value users. Using Wallet Intelligence fields, developers can tailor their airdrop criteria to focus on participants most likely to contribute positively to the community, such as those with high hodler scores, frequent transaction activity, or significant past interactions with similar dapps.

📄️ 📣 Campaign Audit

Campaign Audit empowers Web3 developers to optimize their marketing strategies by providing in-depth analysis of wallet metrics. By examining key indicators such as potential bot percentage, hodler score, outbound transaction value, and wallet balance, developers can compare the quality and engagement of wallets acquired through various channels. This data-driven approach enables developers to identify the most effective marketing channels, allocate budgets more efficiently, and enhance ROI by focusing on campaigns that drive high-quality user acquisition and engagement. Wallet Intelligence fields offer the granular insights needed to fine-tune marketing efforts and ensure sustained growth in the competitive Web3 landscape.