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As more and more people flock to the Web3 game world, building a refined operation system has become the key to maintaining the long-term development of the project. Leveraging data analytics is essential for informed decision-making, revealing the inner mysteries of user behavior, trading patterns, and market trends.
Data-driven decision-making, risk management, and long-term strategies are essential for lasting success in Web3 gaming.
Why is it so difficult to operate Web3 games?
Operating Web3 games faces many challenges, especially in the field of data analysis, which are particularly complex and diverse.
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Web3 data acquisition is difficult
Because Web3 data are often unstructured, inconsistently formatted, and come from diverse sources, their acquisition and organization is a huge challenge. Extracting valuable information and insights from large and complex Web3 data sets becomes more difficult due to the lack of unified data formats and processing standards.
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Web2 and Web3 data are difficult to connect
Connecting Web2 and Web3 data is challenging, primarily because the two data systems are independent. This independence results in an inability to fully understand the game dynamics and economic activities in the game ecosystem, causing problems for developers.
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Difficulties with in-depth analysis
Due to the diversity and continuous evolution of Web3 game formats, it becomes more difficult to achieve in-depth analysis. Each game has unique mechanics, making the use of unified analysis tools difficult.
Footprint Growth Analytics can help
Footprint Growth Analytics has key features that provide operators with comprehensive insights.
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Structured tables: provide a complete view
Our team has carefully designed a series of game analysis tables to provide game operators with a complete perspective on both macro and micro levels. Our analysis tables provide clear information that is essential for making informed decisions.
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0 Coding Analysis: Redefining Analysis Freedom
Game developers are free to customize analysis dimensions, such as easily filtering by time period or project, tasks that traditionally required sophisticated SQL programming skills. Making the data analysis experience convenient and easy to master.
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Web2 and Web3 Connectors: Powering Comprehensive Insights
Our connectors tightly combine traditional Web2 with decentralized Web3 data, integrating different data sources, such as combining on-chain data from games with analytics from Google or Twitter. This integration not only allows operators to have a comprehensive understanding of the performance of their game data, but also extends to the analysis of user journeys, helping to optimize the game process.
Here are some of the key metrics we provide:
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Asset Performance: Evaluate the value and impact of in-game assets such as tokens and NFTs.
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Revenue: Get a comprehensive financial overview by combining Web2 and Web3 data.
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User indicators: Understand player behavior, including acquisition, retention, engagement and other indicators, and conduct in-depth analysis of the user's gaming process.
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Community Data: Analyze community activity on Twitter and Discord to gain a deeper understanding of player perspectives and community growth.
You can learn more on our Footprint Growth Analytics website, or schedule a meeting to learn more about the solution.
Footprint Analytics is a blockchain data solutions provider. With the help of cutting-edge artificial intelligence technology, we provide the first code-free data analysis platform and unified data API in the Crypto field, allowing users to quickly retrieve NFT, GameFi and wallet address fund flow tracking data of more than 30 public chain ecosystems.
Footprint official website: https://www.footprint.network
Discord：https://discord.gg/3HYaR6USM7
Twitter：https://twitter.com/Footprint_Data
Telegram：https://t.me/Footprint_Analytics