Introduction
GameFi (Game Finance), i.e., game finance, is an innovative combination of blockchain technology and the game industry. It integrates traditional game experiences with decentralized finance (DeFi) and non-fungible tokens (NFT) elements to create a unique "Play-to-Earn" (P2E) model. GameFi was initially created by Andre Cronje, the founder of Yearn Finance. Mary Ma, Chief Strategy Officer of MixMarvel, first proposed the concepts of "gamified finance" and "new gamified business" in the second half of 2019. This concept combines the elements of games and finance, aiming to provide users with game experiences that have real economic value through blockchain technology.
In the GameFi ecosystem, players can not only enjoy the fun of the game, but also earn crypto assets through in-game activities, which have real market value and liquidity. This model completely changes the economic model of traditional games, allowing players' time, skills and investment to get real economic returns.
However, GameFi projects face severe challenges, especially the problem of low user retention rates. It has been reported that 90% of blockchain games become inactive within 30 days. In addition, besides top NFT assets, most NFTs still suffer from insufficient liquidity. At the same time, the economic model design of GameFi projects also faces challenges such as high complexity and poor balance.
This report will analyze the data analysis methods of GameFi projects in depth from three key dimensions: user retention, asset liquidity, and economic model, to provide blockchain financial analysts with a systematic analysis framework and methodology to better assess the health and sustainability of GameFi projects.
User Retention Analysis: Key Metrics to Retain Players
User retention is one of the core indicators of the success of GameFi projects. It not only reflects the attractiveness and playability of the game, but also directly relates to the long-term sustainability of the project. In the blockchain game field, the definition and measurement methods of user retention rate are unique, requiring comprehensive analysis combining on-chain data and user behavior.
Definition and Importance of User Retention
In GameFi projects, the user retention rate refers to the percentage of players who continue to use the game service over a period of time. Footprint Analytics provides a way to track GameFi user retention rate: if a new user interacts with the protocol's smart contract within the week following their first interaction, the platform counts them as a weekly retained user. This method allows analysts and developers to see how users are reacting to recent changes, features, and tokenomics in the game.
The importance of user retention for GameFi projects is self-evident. According to research, blockchain games have a problem with low user retention, with 90% of blockchain games becoming inactive within 30 days. This high churn rate poses a serious challenge to the economic model and long-term development of GameFi projects, as continuous user participation is key to maintaining the balance of the in-game economy and the value of assets.
It is worth noting that user retention is not just a simple percentage indicator, it also reflects many aspects of the game, including gameplay, economic incentives, community building, and user experience. For example, Bomb Crypto's monthly retention rate has gradually declined, mainly because the game's gameplay progress is slightly behind schedule, failing to meet players' expectations.
Key Indicators for User Retention Analysis
When analyzing user retention in GameFi projects, the following key metrics need to be considered:
Retention Rate: This is the most direct user retention metric, typically including next-day retention rate, 7-day retention rate, 30-day retention rate, etc. There are many ways to calculate retention rate, and different calculation methods are suitable for different analysis purposes. For example, Siddarth suggests using percentage-based metrics to alleviate problems caused by volatility, such as tracking what percentage of a game's active users are of the total active users on all chains.
Active Users (DAU and MAU): Daily active users (DAU) and monthly active users (MAU) are important indicators for measuring user engagement. For example, the Telegram game BIRDS contributed most of the user base, with an average DAU of 224,900, and its weekly new user retention rate is considered a model for the blockchain game industry.
User Engagement: This includes the frequency of user interaction in the game, the duration of each session, and the number of operations in each session. By using tools such as Footprint Analytics, analysts can see the number of transactions per wallet per day, which provides valuable information about user interaction patterns.
Value Participation: This includes both value injection and value extraction. Value injection refers to the funds that players put into the game smart contract, while value extraction refers to the funds that players extract from the game. These two indicators reflect the level of activity of economic activity within the game and the economic participation of users.
User Lifetime Value: This reflects the long-term value of users in the game, including the time users spend in the game, the activities they participate in, and the economic value they create. Analyzing user lifetime value helps to understand the depth and persistence of user engagement.
Challenges and Methods of User Retention Analysis
User retention analysis in GameFi projects faces a series of challenges, including high data volatility, complex user behavior, and difficulties in cross-chain data integration. To address these challenges, analysts need to adopt systematic analysis methods.
Handling Data Volatility: User data in GameFi projects often fluctuates significantly, making simple retention rate calculations difficult to reflect the real situation. An effective solution is to use percentage-based metrics, such as tracking the proportion of active users of a game relative to the total active users on all chains, to smooth out data fluctuations.
User Behavior Analysis: User behavior analysis is an important tool for understanding changes in retention rates. By analyzing which gameplay mechanics lead to higher next-day/7-day retention rates after users play them, you can identify which gameplay mechanics have a more positive impact on user experience/user retention. This analysis method can help game developers identify and strengthen game mechanics that promote user retention.
Definition of Churn and Retention: When conducting user retention analysis, it is necessary to clearly define the specific criteria for churn and retention. This includes determining what constitutes "active," "interaction," and "retention" in order to design corresponding strategies and verify the effectiveness of these strategies.
A/B Testing: Designing A/B tests is an important method to verify the effectiveness of retention improvement strategies. By comparing the effects of different versions of the game or different strategies, you can determine which methods can effectively improve user retention rates.
Strategies to Improve User Retention
Based on user retention analysis, several strategies can be developed to improve the user retention rate of GameFi projects:
Optimize the New Player Experience: Ensuring the game provides players with a smooth and easy new player experience is key to improving 1-day retention. The quality of the new player experience directly affects players' first impression of the game, and a good new player experience can significantly increase early retention rates.
Enhance Gameplay: The playability of the game is a key factor in achieving real user retention and continued engagement. By constantly updating and improving the gameplay, you can keep players interested and engaged. For example, SLG (Simulation Strategy Game) type games have been further enhanced in Web3 games due to their inclusive multi-level player ecosystem, where different types of players such as top-tier paying players and "little brother players" can find their own fun.
Reasonably Design Economic Incentives: The problem exposed by early GameFi projects such as Axie Infinity is that when players only focus on profit and not on the gameplay itself, it often leads to a much lower user retention rate than general games. Therefore, economic incentives should be combined with gameplay to create a balanced gaming experience.
Community Building: A strong community can significantly improve user retention rates. By building interaction and connection between players, the sense of belonging and loyalty of players to the game can be enhanced. The success of the Telegram game BIRDS is partly due to its strong community base.
Continuous Updates and Improvements: Game development teams need to continuously update and improve game content to maintain player interest. Bomb Crypto's monthly retention rate has gradually declined, mainly because the game's gameplay progress is slightly behind schedule. By continuously providing new game content and features, player engagement can be maintained.
Asset Liquidity Analysis: The Lifeline of GameFi Economics
Asset liquidity is another key dimension of healthy GameFi project development, reflecting the market acceptance and monetization ability of in-game assets. In the GameFi ecosystem, asset liquidity not only affects the economic interests of players, but also relates to the stability and sustainability of the entire game economy.
Definition and Importance of Asset Liquidity
In GameFi projects, asset liquidity refers to the trading activity and monetization ability of in-game assets (such as NFTs and fungible tokens) in the market. Good asset liquidity is a necessary prerequisite for bringing a smooth experience to GameFi gamers.
In GameFi projects, asset liquidity has special importance:
Economic Value Realization: One of the core attractions of GameFi is that players can earn economic rewards through game activities. Good asset liquidity enables players to convert in-game assets into real economic value, which is key to maintaining player engagement.
Market Depth and Stability: Highly liquid asset markets have greater market depth and price stability, which helps prevent price manipulation and violent fluctuations, providing players with a fairer and more predictable trading environment.
In-Game Economic Balance: Asset liquidity affects the supply and demand balance of the in-game economy. Good liquidity helps maintain the reasonable valuation of in-game assets, preventing excessive fluctuations or depreciation of asset values.
Key Indicators for Asset Liquidity Analysis
When analyzing asset liquidity in GameFi projects, the following key indicators need to be considered:
Trading Volume and Trading Pairs: The trading volume and trading pairs of in-game assets are the basic indicators for measuring asset liquidity. High trading volume and diversified trading pairs usually indicate that assets have good market acceptance and liquidity. For example, in the NFT trading market, users can create AMM pools and customize trading curves to achieve efficient and fast matching of buyers and sellers at the expected price.
Bid-Ask Spread: The bid-ask spread is an important indicator for measuring market liquidity. A smaller bid-ask spread usually indicates better market liquidity and lower transaction friction. In GameFi projects, an excessively large bid-ask spread may indicate insufficient market depth or the existence of manipulation.
Order Book Depth: Order book depth reflects the trading volume in the market at different price levels. A deep order book can absorb large transactions without causing significant price fluctuations, which is a key indicator of market liquidity.
Trading Frequency: Trading frequency reflects the activity of assets. High trading frequency usually indicates that assets have high market attention and liquidity.
Asset Valuation Stability: Asset valuation stability is an important indicator of liquidity quality. Stable price fluctuations indicate that the market has good self-regulation capabilities and can withstand external shocks.
Challenges and Solutions for Asset Liquidity
In GameFi projects, asset liquidity faces a series of challenges:
Insufficient Liquidity: Besides the top NFT assets, most NFTs still suffer from insufficient liquidity. This limits players' ability to monetize in-game assets and also affects the vitality of the in-game economy.
Price Volatility: In-game assets often face significant price volatility, which increases the risk for players and may affect the stability of the in-game economy.
Market Manipulation: In markets lacking sufficient liquidity, there may be market manipulation behaviors, such as price manipulation and wash trading, which distort market signals and undermine fairness.
To address these challenges, GameFi projects can adopt a variety of strategies:
Liquidity Pools: Establishing liquidity pools is a common way to increase asset liquidity. In GameFi, liquidity pools allow users to deposit assets into the pool to provide liquidity to the market and benefit from transaction fees or interest.
NFT Liquidity Solutions: To address the problem of insufficient NFT liquidity, some projects provide innovative solutions. For example, users can deposit NFTs into NFTX vaults and mint replaceable ERC20 tokens (vToken), which represent a claim on random assets within the vault. vToken can be used to redeem specific NFTs from the vault.
Cross-Chain Trading: Cross-chain trading allows players to trade assets between different blockchains, which can expand the market scope and improve liquidity. With the development of cross-chain technology, this will become an important way to improve the liquidity of GameFi assets.
In-Game Economic Design: Designing a reasonable in-game economic system, such as controlling asset issuance and designing reasonable reward mechanisms, can promote reasonable asset valuation and stable trading.
The Correlation between Asset Liquidity and User Retention
There is a close correlation between asset liquidity and user retention:
Economic Incentives and Retention: Good asset liquidity enables players to monetize in-game assets, which directly enhances the economic incentives of the game and helps to improve user retention. When players see that their game time and skills can be converted into real economic value, they are more likely to continue playing the game.
Asset Value and Retention: Asset liquidity affects the valuation and stability of assets. When players see that their in-game assets have good liquidity and stable value, they are more likely to hold these assets for the long term and continue to participate in the game.
Trading Experience and Retention: A good trading experience, including efficient trade execution, reasonable transaction fees, and a secure trading environment, can enhance players' satisfaction and loyalty to the game platform.
By comprehensively analyzing asset liquidity and user retention, we can better understand the health and development potential of GameFi projects. For example, if a GameFi project has good asset liquidity but low user retention, this may indicate problems with gameplay or community building. Conversely, if user retention is high but asset liquidity is low, this may indicate problems with the in-game economic design or insufficient market infrastructure.
Economic Model Analysis: The Sustainable Engine of GameFi Projects
The economic model is the core engine of a GameFi project. It defines the rules and mechanisms for value creation, allocation, and flow within the game. A healthy economic model not only maintains the value of in-game assets, but also incentivizes players to continue participating while providing a sustainable source of income for the project.
Definition and Importance of Economic Model
In GameFi projects, the economic model usually includes the issuance, trading, and profit distribution mechanisms of in-game virtual assets. Compared to DeFi projects, GameFi's model design is more complex, with transaction fee extraction as the source of revenue.
The importance of the economic model is reflected in the following aspects:
Value Creation and Distribution: The economic model determines how value is created, distributed, and accumulated within the game. A reasonable economic model can ensure that value is fairly distributed among game participants (including players, developers, and investors), while creating continuous value growth for the game.
Asset Value Stability: A healthy economic model helps maintain the stable value of in-game assets, preventing inflation or deflation, which is critical to building player confidence in in-game assets.
Incentive Mechanism Design: The economic model defines the incentive structure for players, including how to earn rewards through game activities and how these rewards translate into real value. Effective incentive mechanisms can enhance player engagement and loyalty.
Long-term Sustainability: A good economic model ensures that the GameFi project has long-term sustainability, and can adapt to market changes and the evolution of player needs.
Key Elements of Economic Model Analysis
When analyzing the economic model of a GameFi project, it is important to focus on the following key elements:
Monetary System: The monetary system of a GameFi project includes the design, issuance mechanism, inflation rate, and destruction mechanism of in-game tokens. These elements together determine the value and stability of in-game currency. For example, in some GameFi projects, the inflation rate of the currency needs to be maintained at a reasonable level to balance player gains and currency value.
Resources and Commodities: Currencies, participants, resources and commodities together constitute an economic system, each interconnected. Players maximize their own interests in the game, so the value of the currency controls the behavior of the players.
Incentive Mechanisms: Incentive mechanisms include the way and amount of rewards players receive through game activities. Effective incentive mechanisms should balance short-term returns and long-term value to prevent asset value depreciation caused by excessive incentives.
Asset Issuance and Circulation: The issuance volume, issuance rhythm, and circulation mechanism of in-game assets are important components of the economic model. These factors affect the scarcity and market value of assets.
Profit Distribution: The profit distribution mechanism determines how the profits generated within the game are distributed among different participants, including players, developers, investors, and other stakeholders.
The economic model design of GameFi projects faces a variety of challenges, and common problems include:
Balance Issues: Improper design of the game economic system and industrial chain distribution model may lead to a poor balance between user experience (gameplay, social interaction) and economic incentives. Most of them are the result of user participation and economic model games, and there are often challenges such as market stability, player retention, and token value sustainability.
Value Capture and Distribution: How to reasonably design value capture and distribution mechanisms to ensure that all parties can benefit from the game while maintaining the balance of the economic system is an important challenge in economic model design.
Sustainability Issues: The economic models of many GameFi projects lack long-term sustainability and may face a "death spiral" risk, i.e., as players reduce participation, asset values decline, further leading to player churn, forming a vicious cycle.
Regulatory Compliance: The economic model of GameFi projects needs to consider regulatory compliance issues, especially when it involves financial activities and value transfer. For example, if the organization is a game company considering selling game currency or assets (the issuer of the currency or assets, including any other affiliated initiators), it needs to consider the four elements of the Howey Test and the analysis and interpretation of relevant case facts.
Economic Model Optimization Strategies
To overcome the above challenges, GameFi projects can take a variety of strategies to optimize their economic models:
Multi-Dimensional Incentive Mechanisms: Design multi-dimensional incentive mechanisms to balance short-term economic returns and long-term game experience. This includes presenting financial products in a gamified way, gamifying DeFi, deriving NFT from game props, introducing PK battle mode, and increasing user/player interaction.
Asset Value Guidance: Guiding token flows towards land NFTs, try to lock high-liquidity tokens into land NFTs, making land NFTs a store of value. This may make some land NFTs too valuable, but this can be balanced by designing a reasonable economic model.
Economic Model Iteration: The economic model should have the ability to iterate and update, and can be adjusted according to market feedback and player needs. This includes improving the output path and production methods of means of production, and promoting players to actively participate in commodity exchange, which is an important part of designing game mechanisms and economic models.
Connection between In-Game Economy and External Economy: Establishing an effective connection between the in-game economy and the external economy, allowing in-game assets to be traded in a broader market, improves asset liquidity and value realization. In GameFi projects, DeFi aims to improve the profitability of investors, seeking to maximize the efficiency of funds participating in blockchain games, facilitating players to sell, rent their game assets, or provide their tokens as liquidity providers.
Interaction between Economic Model and User Retention, Asset Liquidity
There is a complex interaction between the economic model and user retention and asset liquidity:
Economic Incentives and User Retention: Reasonable economic incentives can improve user retention rates, but excessive economic incentives may lead to a weakening of gameplay, which in turn reduces user retention rates. For example, in the early GameFi project Axie Infinity, when players only focused on profit and not on the gameplay itself, it often led to a much lower user retention rate than general games.
Economic Model and Asset Liquidity: The economic model directly affects the supply and demand relationships and trading activities of assets, thereby affecting asset liquidity. For example, reasonable reward mechanisms and asset issuance strategies can increase market trading activity and enhance asset liquidity.
The balance between the three: Successful GameFi projects need to balance the relationship between user retention, asset liquidity, and economic model. Ideally, the economic model design can simultaneously promote user retention and asset liquidity, forming a virtuous cycle.
By comprehensively analyzing these three dimensions, we can more fully assess the health and development potential of GameFi projects. For example, if a GameFi project has a healthy economic model and good asset liquidity, but low user retention, this may indicate problems with gameplay or community building. Conversely, if user retention is high but asset liquidity is low, this may indicate problems with the economic model design or insufficient market infrastructure.
Three-Dimensional Comprehensive Analysis Framework: Comprehensive Evaluation of GameFi Projects
In order to comprehensively assess the health and development potential of GameFi projects, it is necessary to comprehensively analyze the three dimensions of user retention, asset liquidity, and economic model. These three dimensions interact with each other and restrict each other, jointly forming the health evaluation framework of GameFi projects.
The interrelationships between the three dimensions
There is a close mutual relationship between user retention, asset liquidity, and economic model:
Economic Model Affects User Retention: The economic model determines the incentive mechanisms and value distribution methods within the game, directly affecting players' participation motivation and retention rate. A well-designed economic model can provide continuous economic incentives, enhancing players' participation and retention rate.
Asset Liquidity Affects User Retention: Good asset liquidity enables players to monetize in-game assets, enhance the economic value of the game, and thereby increase user retention. When players see that their game time and skills can be converted into real economic value, they are more likely to continue playing the game.
User Retention Affects Asset Liquidity: High user retention rates mean more active users and trading activity, which can increase the trading volume and market depth of assets, enhancing asset liquidity.
Economic Model Affects Asset Liquidity: The economic model determines the issuance volume, reward mechanisms, and trading rules of in-game assets, directly affecting asset supply and demand and market liquidity. A healthy economic model can create stable asset values and an active trading environment.
Mutual Reinforcement or Inhibition between the Three: There may be virtuous cycles or vicious cycles between these three dimensions. For example, a good economic model can improve user retention and asset liquidity, and high user retention and good asset liquidity can enhance the health of the economic model, forming a virtuous cycle.
Comprehensive analysis framework
Based on the mutual relationships between the three dimensions, we can build a comprehensive analysis framework to assess the health of GameFi projects:
User Retention Analysis:
Next-day retention rate, 7-day retention rate, 30-day retention rate, etc.
Daily Active Users (DAU) and Monthly Active Users (MAU)
User engagement and value participation (value injection and extraction)
User Lifetime Value
Asset Liquidity Analysis:
Trading volume and trading pairs
Bid-Ask Spread and Order Book Depth
Trading Frequency and Asset Valuation Stability
Liquidity of NFTs and other in-game assets
Economic Model Analysis:
Monetary system (token design, issuance mechanism, inflation rate)
Allocation and trading mechanisms for resources and commodities
Incentive Mechanisms and Profit Distribution
Sustainability and Iterative Ability of the Economic Model
Three-Dimensional Interaction Analysis:
The Impact of Economic Model on User Retention
The Impact of Asset Liquidity on User Retention
The Reactive Effect of User Retention on Asset Liquidity
Regulation of asset liquidity by the economic model
The balance between the three
GameFi project evaluation matrix
To more intuitively assess the health of a GameFi project, a three-dimensional evaluation matrix can be constructed:
This matrix allows you to assess the relative position of GameFi projects across three dimensions, identify the project's strengths and weaknesses, and provide direction for project improvement.
Case Study: Telegram Game BIRDS
Taking the Telegram game BIRDS as an example, we can apply the above framework for comprehensive analysis:
User retention:
Average DAU is 224,900
Weekly new user retention rate is considered a "model for the blockchain game industry"
Maintain high retention rates through a strong community base and good gaming experience
Asset Liquidity:
As a game within the Telegram ecosystem, it may face restrictions on cross-chain transactions
But in-game assets may have high community recognition and trading activity
Economic Model:
Specific economic model information is not available, but as a successful GameFi project, its economic model should have a certain degree of balance and sustainability
May have adopted reasonable incentive mechanisms and asset issuance strategies
Through comprehensive analysis, Telegram game BIRDS performs well in terms of user retention and may also have advantages in terms of asset liquidity and economic model, making it a successful case in the blockchain game industry.
Project Development Stage and Analysis Focus
Depending on the different development stages of the GameFi project, the analysis focus may be different:
Initial Stage:
Focus on analyzing user retention and asset liquidity
Focus on user acquisition costs and initial retention rates
Monitor asset trading activity and price stability
Growth Stage:
Balance the analysis of user retention, asset liquidity and economic model
Pay attention to the rate of user growth and changes in retention rates
Evaluate the sustainability and iterative ability of the economic model
Mature Stage:
Comprehensive analysis of the balance of the three dimensions
Pay attention to the stability of user retention rate
Evaluate the depth and breadth of asset liquidity
Analyze the long-term sustainability of the economic model
Through this phased analysis method, the health and potential risks of GameFi projects at different stages of development can be assessed more accurately.
Conclusion and Outlook
Data analysis for GameFi projects is a multi-dimensional and systematic process that requires a comprehensive assessment from the three key perspectives of user retention, asset liquidity, and economic model. These three dimensions interact with each other and restrict each other, jointly forming the health evaluation framework of GameFi projects.
Key Findings
Through in-depth research on the data analysis of GameFi projects, we have reached the following key findings:
The Core Position of User Retention: User retention is the foundation for the success of GameFi projects. 90% of blockchain games become inactive within 30 days, highlighting the urgency of improving user retention rates. Retention rate, active users, user engagement, and value participation are key indicators for measuring user retention.
Importance of Asset Liquidity: Besides top NFT assets, most NFTs still suffer from insufficient liquidity. Good asset liquidity is key to maintaining the economic vitality of a GameFi project, and trading volume, bid-ask spread, and order book depth are key indicators of asset liquidity.
Complexity of Economic Model: The economic model design of GameFi projects is more complex, involving multiple aspects such as monetary system, resources and commodities, incentive mechanisms, and asset issuance. Balancing economic incentives and game experience is a key challenge in economic model design.
Mutual Relationships between the Three Dimensions: There is a close mutual relationship between user retention, asset liquidity, and economic model. The economic model affects user retention and asset liquidity, asset liquidity affects user retention, and the three reinforce or inhibit each other, forming a virtuous or vicious cycle.
Value of Comprehensive Analysis Framework: By comprehensively analyzing user retention, asset liquidity, and economic model, we can more fully assess the health and development potential of GameFi projects and identify the project's strengths and weaknesses.
Future Development Direction
Based on current research, we propose the following outlook on data analysis for GameFi projects:
Refinement of Analysis Methods: In the future, GameFi project analysis will be more refined, including more precise user segmentation analysis, more in-depth economic model simulations, and more comprehensive asset liquidity monitoring. For example, by analyzing which gameplay mechanics lead to higher next-day/7-day retention rates after users play them, you can identify which gameplay mechanics have a more positive impact on user experience/user retention.
The Importance of Cross-Chain Data Analysis: With the development of cross-chain technology, cross-chain data analysis will become an important direction for GameFi project analysis. This includes tracking cross-chain asset flows, analyzing cross-chain user behavior, and assessing cross-chain economic impacts.
The Evolution of the Economic Model: The economic model of GameFi projects will evolve towards a more sustainable and balanced direction, including more reasonable incentive mechanisms, more stable currency supply, and fairer value distribution. For example, by guiding token flows towards land NFTs, try to lock high-liquidity tokens into land NFTs, making land NFTs a store of value.
Innovation of Data Analysis Tools: In the future, more data analysis tools and platforms specifically for GameFi projects will emerge, providing more intuitive and comprehensive project evaluations. For example, platforms such as Footprint Analytics have already begun tracking user retention rates in GameFi.
Establishment of Industry Standards: With the maturity of the GameFi industry, unified project evaluation standards and methodologies will be gradually established, facilitating comparison and reference for industry participants. This standard will cover multiple dimensions such as user retention, asset liquidity, and economic model.
Practical Recommendations
Based on the research in this report, we provide the following practical suggestions for GameFi project participants:
Project Parties:
Focus on user retention analysis, pay attention to key indicators such as next-day retention rate and 7-day retention rate
Improve asset liquidity, and enhance market depth through measures such as liquidity pools and NFT liquidity solutions
Optimize the economic model, balance economic incentives and gaming experience, and ensure long-term sustainability
Establish a data analysis team or use professional data analysis tools to continuously monitor and optimize project performance
Investors:
When evaluating GameFi projects, comprehensively consider the three dimensions of user retention, asset liquidity, and economic model
Pay attention to the project's user growth and retention trends, and identify potential user churn risks
Analyze the project's asset trading activity and price stability, and evaluate the health of asset liquidity
Evaluate the project's economic model design and identify possible economic imbalance risks
Analyst:
Build a systematic GameFi project analysis framework covering user retention, asset liquidity, and economic model
Pay attention to the interrelationships and interaction mechanisms between the three dimensions to provide a more comprehensive project assessment
In-depth research on the case of successful GameFi projects to summarize experiences and best practices
Pay attention to industry trends and technological innovations, and continuously update and improve analysis methods
Through systematic data analysis and comprehensive project evaluation, GameFi project participants can better understand the project's health, identify potential risks and opportunities, make more informed decisions, and promote the healthy development of the GameFi industry.