To compare user coverage rates of different airdrop projects using data tools, start by collecting key metrics like participant numbers, wallet addresses, and engagement levels from platforms like Dune Analytics or Etherscan. Use Python or R to clean and analyze the data, calculating coverage as the ratio of unique users to the target audience. Visualize results with Tableau or Power BI for clear comparisons across projects. Leverage X posts and web searches to supplement data, identifying trends in user acquisition. Focus on factors like eligibility criteria, reward distribution, and community activity to assess reach. Automate data scraping with APIs from blockchain explorers to ensure real-time insights. This approach enables a precise, data-driven comparison of airdrop effectiveness.