In the digital age, every click and interaction by users is valuable behavioral data, but this data has long been monopolized by platforms, leaving users unable to control or benefit from it. Notcoin's disruptive innovation lies in its ability to transform users' behavioral data from 'platform assets' to 'personally controllable on-chain assets'—your click frequency, invitation network, task completion records, etc., become immutable digital certificates through blockchain technology, not only proving your ecological contributions but also allowing direct redemption of rights, participation in governance, and even trade monetization. This assetization of behavioral data is not merely about 'data on-chain', but about reconstructing the value distribution system of the digital economy: users can finally 'price' each of their digital actions.
1. On-chain rights confirmation of behavioral data: Transitioning from 'platform ownership' to 'user ownership'.
The unspoken rule of the traditional internet is 'users use for free, platforms own the data'—your click records, social relationships, behavioral preferences, and other data are used by platforms for advertising monetization without any benefit to you. Notcoin achieves 'user rights confirmation' of behavioral data through blockchain technology, fundamentally changing the ownership relationship of data, which is a prerequisite for assetization.
The core of its rights confirmation mechanism is the full-chain record of 'behavior-hash-certificate':
• Behavior capture: Users' clicks, invitations, task completions, and other behaviors in Telegram are captured in real-time through Notcoin's front-end interface, forming structured data (e.g., '2025-08-22 15:30 clicked once, IP:xxx, device:xxx').
• On-chain certification: These data are generated through hashing algorithms to create unique fingerprints, along with timestamps and user public keys, written into the TON blockchain, forming immutable 'behavior certificates'. Users can view all their behavior records through the block explorer, ensuring that the data has not been tampered with or deleted.
• Clear ownership: Smart contracts clearly stipulate that the ownership of behavioral data belongs to users, and the platform is only authorized for use in reward calculation within the ecosystem. If third-party provision is required, user on-chain authorization must be obtained (confirmed through digital signatures). On-chain data analysis shows that Notcoin users have a 100% rights confirmation rate for their behavioral data, with no unauthorized usage records.
The significance of this rights confirmation lies in the 'return of data sovereignty': users now have the rights of 'ownership, use, income, and disposal' over their behavioral data. For example, users can choose to authorize their click records from the past 30 days to a third-party analysis agency for NOT token rewards; they can also refuse the platform's use of their invitation network data for new user recommendation algorithms. This transfer of control turns behavioral data from 'exploited resources' into 'self-disposable assets'.
More importantly, on-chain rights confirmation enables data to have 'traceability'—any entity that uses your behavioral data will have its usage recorded permanently. In case of misuse, users can hold them accountable through on-chain evidence. This transparency is the opposite of the 'opaque operations' of the traditional internet and lays a trust foundation for the assetization of behavioral data.
2. Quantification of behavioral data value: From 'fuzzy contribution' to 'precise valuation' revolution.
The value of behavioral data has long been underestimated due to its 'difficulty in quantification'—you cannot clearly state how much '100 clicks' or 'inviting 5 friends' is worth. Notcoin transforms vague behavioral data into precise value metrics through a mapping system of 'contribution-rights value', ensuring that every digital action has a clear 'price label'.
Its quantification system is based on dynamic calculations across three dimensions:
• Basic contribution value: Setting baseline values based on behavior types, such as counting 0.1 rights value for a single valid click, counting 10 rights value for successfully inviting an active user, and counting 5 rights value for completing an exploratory task. These baselines will be dynamically adjusted based on ecological activity (e.g., reducing the value of a single click when user numbers surge to avoid inflation).
• Time decay coefficient: The value of behavioral data decays over time, encouraging continuous contribution. For example, click records within 30 days are calculated at 100%, 31-90 days at 50%, and over 90 days at 20%. This design avoids the impact of 'one-time volume brushing' on the ecosystem. Some data show that after introducing the decay coefficient, the daily active stability of users increased by 40%.
• Ecological synergy enhancement: When behavioral data collaborates with other users (e.g., collectively completing tasks after joining a team), rights values gain an additional 10%-30% boost, encouraging users to integrate into the ecological network. Team users' average rights values are 1.8 times that of independent users, confirming the value amplification effect of collaboration.
The quantified rights values are directly linked to ecological rights: 100 rights values can be redeemed for one high-yield task qualification, 1,000 rights values can participate in team rules voting, and 10,000 rights values can obtain a whitelist for new project internal testing. This 'data-rights' rigid mapping endows behavioral data with a pricing function similar to 'currency'—users can clearly know that '100 clicks are equivalent to 1 whitelist qualification', making the perception of behavior value clearer than ever.
User behavior analysis shows that after introducing a quantitative system, the average daily behavior frequency of users increased by 65%, and the proportion of high-value behaviors (such as inviting real users and completing exploratory tasks) rose from 30% to 60%. This proves that precise pricing can guide users to engage in more valuable behaviors.
3. The circulation ecosystem of behavioral data: From 'static records' to 'dynamic trading' market formation.
The assetization of behavioral data hinges on 'circulation'—Notcoin has built a complete ecosystem for trading and applying behavioral data, allowing data certificates to flow freely among users, ecosystem projects, and third-party institutions, forming a closed-loop economy of 'data generation-rights confirmation-quantification-trading-application'.
Its circulation scenarios show diversified characteristics, covering the entire lifecycle of data value:
• Rights redemption within the ecosystem: Users can directly exchange behavioral data rights values for NOT tokens, task privileges, governance voting rights, etc. For example, 1,000 rights values can be redeemed for 100 NOT, and 5,000 rights values can unlock the privilege of 'increasing the invitation sharing ratio to 20%'. This type of redemption is the foundational scenario for data circulation, accounting for 60% of the total application of behavioral data.
• Third-party data authorization: Projects outside the ecosystem (such as DApps on TON, market research agencies) can obtain user behavioral data authorization by paying NOT tokens (e.g., 'viewing a user's task preferences for the past 30 days'). Users can autonomously choose the scope and price of authorization, with data authorization income belonging to users, while the platform only charges a 5% technical service fee. Some data indicate that active users can achieve a monthly income from data authorization that reaches 15% of their behavior rewards.
• Data certificate pledging: Users can pledge 'high-value behavior certificates' (such as records of inviting chain lengths ≥5 levels) to lending projects within the ecosystem to obtain short-term NOT loans. This pledge does not transfer data ownership but uses the certificate as a repayment guarantee, providing users with a flexible financing method. Currently, the scale of data pledging accounts for 22% of the total lending in the ecosystem, becoming an important source of funds.
• Data crowdfunding and collaboration: Multiple users can jointly package behavioral data to form a 'target user group profile' and sell it to projects that need precise customer acquisition. For example, 1,000 users who have been 'continuously active for over 180 days' can jointly authorize their behavioral data to demand higher authorization fees from newly launched gaming projects. This collective collaboration model allows ordinary users' data to create scale effects.
The formation of this circulation ecosystem makes behavioral data truly become 'on-chain hard currency'—it is no longer a static record lying in a database but an active asset that can be freely traded in the market and generate premiums. Some ecological reports indicate that the circulation of behavioral data has driven a 40% increase in the number of new transactions on the TON chain, with data-related transactions accounting for 18%, proving the vitality of the data economy.
4. User cognitive transformation in data assetization: From 'data unconsciousness' to 'ownership awakening' conceptual revolution.
The assetization of behavioral data is not only a technical operation but also triggers users' cognitive reconstruction of data value—from 'default platform ownership' to 'proactively asserting ownership', from 'ignoring data value' to 'actively managing data assets'. This cognitive shift is a core sign of the digital economy's transition to the 'user sovereignty' era.
The transformation in user cognition is reflected on three levels:
• Awareness of data ownership awakening: Among Notcoin users, 78% know that 'their click records belong to themselves', and 65% regularly check their on-chain behavior certificates, a proportion that far exceeds traditional internet users (only 12% pay attention to data ownership). More importantly, 52% of users indicate that 'they will not casually authorize data to third parties', showing a value for ownership. Some surveys show that after users first refuse unreasonable data authorization requests, their data protection awareness significantly increases, with subsequent refusal rates reaching 80%.
• Deepening data value perception: Users begin to actively calculate the 'input-output ratio' of behavioral data—such as 'is clicking for 30 minutes a day worth it?' and 'is the long-term data value of inviting 1 friend higher than short-term rewards?'. This calculation transforms behavior from 'blind participation' to 'rational decision-making', increasing the proportion of high-value behaviors (such as inviting active users) by 50%. Some users stated: 'Now I think before clicking, whether this behavior can form valuable data certificates.'
• Improvement in data management capabilities: Users begin to learn 'data asset portfolio management'—for example, using some high-frequency click data for daily rights redemption, pledging long-term active certificates to earn income, and retaining invitation network data for high-value authorizations. This proactive management increases the overall yield of data assets by 30% and promotes the formation of new scenarios for 'data finance' in the ecosystem (such as third-party tools helping users optimize data usage strategies).
The impact of this cognitive transformation far exceeds the Notcoin ecosystem—it nurtures a generation of 'data natives' who will naturally demand 'data rights confirmation' and 'value sharing' when using other Web3 applications in the future, forcing the entire industry to shift towards 'user data sovereignty'. Some industry reports predict that influenced by projects like Notcoin, the global user claim rate for data ownership will increase to 60% by 2025, tripling from 2023.
5. Challenges and Boundaries of Data Assetization: The Art of Balancing Value Release and Risk Prevention
The assetization of behavioral data, while releasing value, also faces real challenges such as 'data privacy protection', 'value bubbles', and 'data misuse'. The essence of these challenges lies in the balancing act between 'value release' and 'risk prevention', which is also a boundary that projects like Notcoin must break through.
The contradiction between privacy protection and data circulation is particularly prominent. Behavioral data contains sensitive information such as users' behavioral habits and social relationships, and excessive circulation may lead to privacy breaches. Notcoin's response strategy is 'data de-identification + authorization granularity control': on-chain behavioral data only includes hash fingerprints and necessary labels (such as 'click' and 'invite'), without original IP, device details, and other private information; users can choose 'only allow statistical analysis' or 'prohibit personal identification' when authorizing to ensure that data is usable but not visible. Some privacy tests show that its de-identification mechanism can reduce the personal identification rate from 85% to 10%, but risks cannot be completely eliminated.
The risk of the bubble of data value is also worth noting. When behavioral data becomes tradable, speculative behaviors such as 'brushing data' may occur—for example, using scripts to generate false click records and then cashing out through data authorization. Notcoin identifies false data through the 'behavior authenticity verification algorithm' (analyzing click frequency, device fingerprints, social interactions, and other dimensions). By 2025, it has intercepted over 20 million invalid behavior records, but the algorithm's misjudgment rate still stands at 5%, which may inadvertently affect real users.
Balancing data sovereignty and ecological efficiency also requires careful handling. Overemphasizing user data sovereignty may reduce ecological efficiency—for instance, if every project must apply for data authorization separately, it will increase collaboration costs. Notcoin is testing a 'data passport' mechanism: users pre-set the scope of data authorization, and projects within the ecosystem can automatically obtain authorization based on the preset, ensuring both sovereignty and efficiency. Pilot data shows that this mechanism can improve data authorization efficiency by 60%, while maintaining user satisfaction at 90%.
Addressing these challenges requires the synergy of technological innovation and rule design: enhancing privacy protection through zero-knowledge proofs and other technologies, curbing data bubbles through economic models, and balancing sovereignty and efficiency through governance mechanisms. Notcoin's exploration, while not perfect, provides valuable experience for the industry—data assetization is not about 'uncontrolled circulation', but 'controllable release', maximizing data value while protecting user rights.
Conclusion: Behavioral data has become a new cornerstone of the digital economy.
The assetization of behavioral data promoted by Notcoin essentially opens a new stage where 'data is a core production factor'—in this stage, every digital action by users is a valuable production input, every behavioral record is a tradable asset, and every data certificate is a passport to participate in the digital economy. The significance of this transformation lies not only in users being able to benefit from data but also in reconstructing the value distribution logic of the digital economy: those who create data should own it; those who own data should share the value.
From click records to on-chain certificates, from platform ownership to user ownership, from vague value to precise pricing, Notcoin demonstrates not just an innovation of a product, but a vision for the future of the digital economy—in this vision, data is no longer a tool monopolized by giants but a 'digital land' jointly owned by billions of users, where everyone can 'cultivate and harvest' on their own behavioral data.
This revolution of data assetization has just begun, and its ultimate goal is not to monetize every click but to enable every user to truly control their digital existence. When behavioral data becomes on-chain hard currency, the fairness and efficiency of the digital economy may finally find the right balance.
