Why we need “ Tbook Airdrop Score?”

In order to accurately assess user contributions across the entire on-chain spectrum, Tbook Labs has devised the Tbook Omi-Chain Airdrop Score, a rating system based on pure on-chain behaviors. At its core, this system aims to offer an objective, fair, and quantifiable metric to comprehensively evaluate the on-chain and off-chain activity and value of an account. The Tbook Omi-Chain Airdrop Score empowers users to better understand their accounts, assess potential opportunities for ecosystem rewards, and engage more meaningfully with ecosystem projects. Simultaneously, it enables project teams to precisely identify those users genuinely contributing to the project, ensuring fair distribution of resources and incentives among them.

Understanding Tbook Airdrop Score

From the perspective of project entities, the level of user interaction, the depth of engagement, and the breadth of interactions are pivotal factors. To holistically evaluate everyone’s contributions across the entire chain, Tbook incorporates the user airdrop score into three major segments: “On-chain Data Behavior,” “Credential Platform Data Behavior,” and “Private Domain Data Behavior.” This completes a thorough analysis of user behavior both on and off the chain, providing better insights into the loyalty of users who have been involved with the project since its early stages.

//On-chain Data/Score — 40% Weight

This dimension focuses on evaluating on-chain user behavior, interactions, and overall value. It integrates four aspects: transaction depth, interaction depth, diversity depth, and time depth, offering a comprehensive evaluation of user on-chain behavior.

Within this framework, we emphasize measuring a user’s activity within the blockchain network and assessing its value.

*Transaction depth refers to the frequency and rate of a user’s transactional activities on-chain, such as sending and receiving cryptocurrencies, purchases, or transfers of other on-chain assets, reflecting the user’s most crucial on-chain behaviors.

*Interaction depth involves various interactions a user engages in on-chain, such as participating in interactions on smart contracts. These activities signify a user’s responsiveness and participation in blockchain network content, crucial for measuring user engagement.

*Diversity depth considers the variety of engagements a user participates in, encompassing involvement in different domains or active participation across multiple blockchain applications. Users engaged widely across various applications often exhibit higher diversity depth.

*Lastly, time depth signifies the duration and frequency of a user’s involvement, including their level of activity, frequency, and long-term usage of the platform within a specified timeframe.

This dimension’s assessment aids in comprehending user behavior patterns and participation methods within the blockchain network, pivotal in determining user’s real value, enhancing user experience in blockchain applications, and optimizing governance models.

//Credential Platform Data/Score — 40% Weight

Engagement in platform task journeys. Numerous WEB3 activities/advertising platforms integrate on-chain and off-chain diverse task activities to complete engagements across the spectrum.

Completing various tasks, weighted tasks, and gaining points through web3 tools that enrich task and interaction diversity is the primary methodological process:

• Diversification of task types
• Unified rewards across multiple business scenarios
• Transition from dominators to initiators, empowering the community

Presently, the activity platform comprises modules such as task publication systems, point systems, and benefit exchange systems. However, within its ecosystem, only two primary roles exist: project entities and users. Constructing the ecosystem community requires diversified role engagements and interactions among these roles. Future endeavors aim to bolster the platform’s capability in empowering project entities’ communities, providing fundamental functionalities for user-to-user interactions, or opening up the ecosystem for community developers, allowing users to develop a range of community tools. Empowering community users, enabling them to oversee task initiation and benefit allocation. The entire system revolves around on-chain/off-chain points, badges, rewards as the core logic, balancing the differences between new paradigm and traditional task systems, constructing user labels through diversified activity badges. The overall score comprises badge quantity and weight, and the specific calculation formula will be elucidated in forthcoming articles.

//Private Domain Data/Score — 30% Weight

In the Tbook Omi-Chain score, a user’s footprint within the project’s private domain behavior is also crucial for evaluation. Through the fusion of on-chain and off-chain actions, a novel C(Community)RM system based on the entire chain is forged.

In WEB3 projects, virtually every project underscores the importance of community. A thriving and active community propels a WEB3 project to success. Observably, the most successful WEB3 projects currently are all driven by communities.

Here, we introduce the “CSPP” model based on the new private domain:

“Co-Create,” “Share,” “Participate,” “Purchase” — through these four touchpoints, various mechanisms are designed to allow users more opportunities to join private domain communities. Naturally, through the support of on-chain contracts, amalgamating on-chain and off-chain behaviors reshapes “Participate To Proof.”

[Co-Create]:

• Providing Avatars (Pledges)

For instance, holders of blue-chip NFTs can opt to co-create joint products with project entities. During participation, the NFT can be transferred to a pledge contract where it remains immovable until the co-creation is completed. As part of the co-creation, holders receive a credential issued by the brand, serving as the sole credential for subsequent participation incentives’ allocation.

• Using Co-Creation Tools

Users engage in various co-creation tools across diverse domains, contributing to the brand’s creative process.

[Share]:

• Content Creation
• Inviting Users (Group entry/sharing/purchasing)

Every user action of inviting newcomers, including joining communities, is recorded on the blockchain, and these actions eventually receive corresponding incentive points.

[Participation]:

Contributing through “attention,” every instance of a user’s attention-driven behavior is recorded and rewarded, such as:

• Participating in AMAs
• Engaging in voting
• Proposing/Solving community issues

[Purchasing]:

Purchases remain the highest fidelity record for users. On-chain technology makes recording these actions more efficient and trustworthy.

Conclusion

The revised TBOOK airdrop score integrates three dimensions, expanding the assessment scope beyond traditional on-chain behavior. Tbook Labs aims to evolve this scoring system into a comprehensive framework, allowing for a comprehensive evaluation of user contributions within the blockchain ecosystem. Users gain deeper insights into their on-chain activities, while project teams can precisely allocate resources and incentives based on a more holistic understanding of user participation across multiple dimensions.

In our next article, we will delve into how we calculate each user’s comprehensive score in a real case. Stay tuned!”