The Web3 data ecosystem faces a long-term issue of 'value idling': Massive on-chain data (such as transaction records, NFT holdings, user behaviors) often remains at the virtual level of 'on-chain analysis' and fails to integrate with real scenarios like offline consumption, merchant operations, and personal life. However, small roles like individual users, small to medium projects, and offline merchants have a strong demand for 'data practicality'—individuals want to exchange on-chain data for consumption discounts, merchants want to use data for membership operations, and projects want to implement tools in real scenarios. Yet, due to the lack of 'on-chain to offline data interoperability tools' and 'scenario-based application solutions,' they can only let data sit idle, unable to convert into actual business value. Chainbase, as a decentralized data infrastructure, is breaking this deadlock by constructing a scenario-based empowerment system of 'data interoperability - scenario adaptation - value conversion,' allowing small roles to turn Web3 data into actionable business tools.
1. Three core pain points of scenario-based implementation of Web3 data.
Data cannot serve the real business of small roles, fundamentally due to three key bottlenecks existing in the Web3 data scenario chain, which prevent 'on-chain data' from connecting with 'offline business,' making it difficult to release the 'practical value' of data.
1. Data is not flowing between on-chain and offline: Data cannot cross scenarios.
Web3 data and offline business data exist as 'two islands': on-chain data (e.g., personal NFT holdings, on-chain consumption records) is stored in public chain nodes, while offline data (e.g., merchant membership consumption, store traffic) is stored in local systems, lacking an interoperable 'bridge.' For example, if a personal user holds an NFT from a certain brand and wants to redeem discounts at that brand's offline store, the store cannot verify the user's on-chain NFT holding information and must give up; small to medium projects' developed 'user consumption data analysis tools' can only analyze on-chain virtual consumption as they cannot access merchants' offline membership data, losing practical value. The 'cross-scenario barriers' of data prevent the business needs of small roles (individuals exchanging for discounts, merchants operating) from matching with Web3 data, leaving data to 'lie on-chain.'
2. Lack of scenario-based tools: Generic tools cannot adapt to business needs.
Currently, most Web3 data tools are 'generic,' focusing on on-chain data analysis (e.g., block queries, contract audits), lacking 'scenario-based tools' that cater to the real business needs of small roles. For example, an offline coffee shop needs an 'NFT membership redemption tool' that can adapt to its cash register system, achieving a process of 'customer presenting NFT - system quickly verifying - automatically deducting discounts,' but the tools on the market either require complex development or have redundant functions (including multi-chain data statistics), not meeting merchants' needs for 'lightweight and easy operation'; individual users need 'on-chain data rights exchange tools' that can convert on-chain data (e.g., continuous on-chain consumption for 3 months) into offline merchant discount rights, but such tools are almost nonexistent, forcing users to passively wait for merchants to launch activities. The 'scenario disconnection' of tools leaves small roles wanting to use data but having 'no tools available.'
3. Value conversion disconnect: Data cannot be transformed into business revenue.
Even with data interoperability tools, small roles face the confusion of 'how to convert data into business value': individual users do not know 'which on-chain data can be exchanged for discounts' or 'how to find merchants that accept data rights'; small to medium projects are unclear about 'how to sell data tools to offline merchants' or 'what specific problems can the tools solve for merchants'; offline merchants do not understand 'how much revenue can be increased by using Web3 data' or 'whether the investment cost is worthwhile.' For example, a community supermarket attempted to use NFTs for membership activities but abandoned it due to not knowing 'how to design the binding rules between NFT rights and consumption' or 'how to filter high-value members using on-chain data,' resulting in participation rates below 10% after the activity launch. The 'ambiguous path of value conversion' makes it difficult for small roles to gain actual benefits even when attempting data scenario-based applications, dampening their enthusiasm.
2. Chainbase's scenario-based empowerment plan: Unify the 'data-tool-business' link.
Chainbase's core innovation is to break out of the limitations of 'on-chain data tools' and create a scenario-based empowerment system starting from the 'business needs of small roles,' allowing Web3 data to truly embed into the daily operations of small roles, specifically achieved through three levels.
1. Data interoperability layer: Build a 'bridge between on-chain and offline data.'
To address the barriers of data across scenarios, Chainbase has developed a 'decentralized data bridge' to achieve secure interoperability between Web3 data and offline business data, while fully ensuring data privacy.
• Data verification bridge: Allows for on-chain information verification without transmitting raw data. For example, after an offline merchant integrates the 'NFT verification plugin,' when a customer presents an on-chain NFT, the plugin returns only 'whether the valid NFT is held' to the merchant using 'zero-knowledge proof' technology, without revealing other on-chain data of the user; when personal users use the 'on-chain consumption verification tool,' they can prove to the merchant 'their chain on consumption meets the standard' (e.g., spending over 1000 USDT in the past month) without exposing specific transaction records. This 'verification without transmission' model achieves data interoperability while protecting privacy.
• Data synchronization bridge: Supports offline business data to be desensitized and then connected to the Web3 ecosystem for personalized services. For instance, an offline clothing store synchronizes 'member consumption preferences' (e.g., prefers dresses, shops once a month) to Chainbase after desensitization, allowing small to medium projects to develop 'personalized NFT recommendation tools' based on this data to recommend matching clothing NFTs to members; merchants can also create rules such as 'members holding NFTs enjoy an extra 10% discount' based on synchronized data of 'members holding NFTs' and 'offline consumption.'
As of May 2024, this data bridge has supported interoperability between 8 mainstream public chains, including Ethereum and Polygon, and over 200 offline cash register systems (e.g., Meituan, Kelucloud), completing over 150,000 'on-chain to offline data verifications' and synchronizing over 80,000 pieces of data, improving the efficiency of cross-scenario data flow by 90%.
2. Tool adaptation layer: Develop 'business-oriented scenario toolkits.'
For the specific business needs of small roles, Chainbase has launched a 'lightweight and easy-to-operate' scenario toolkit, covering the core scenarios of three major roles: individuals, small to medium projects, and merchants.
• Individual user toolkit: Includes 'on-chain rights exchange tools' and 'data task matching tools.' The former helps users query 'which offline merchants accept on-chain data rights' (e.g., holding a certain NFT can be exchanged for drinks at the coffee shop) and generates 'rights exchange vouchers' with a single click; the latter matches offline merchants' 'data annotation tasks' (e.g., helping merchants organize membership on-chain consumption labels) based on users' on-chain data (e.g., skilled at analyzing DeFi transactions), and users can receive merchant coupons or C for completing tasks.
• Small to medium project toolkit: Provides 'merchant tool development templates' and 'scenario-based plugin interfaces.' For example, if a project wants to develop a 'restaurant merchant NFT redemption tool,' it can directly use the 'cash register system integration module' and 'NFT verification module' in the template, without starting from scratch, and can be launched within a week; through the plugin interface, projects can quickly adapt tools to different scenarios (e.g., expanding from 'restaurant redemption' to 'retail point exchange'), improving tool implementation efficiency by 70%.
• Offline merchant toolkit: Covers 'NFT membership operation tools' and 'data-driven marketing tools.' The former allows merchants to issue 'consumption NFTs' (e.g., spend 200 yuan to receive 1 NFT) with zero code and automatically verify NFT rights, with the operational process similar to 'setting member discounts'; the latter can automatically generate 'high-value member lists' based on 'member on-chain data + offline consumption' (e.g., users holding high-value NFTs and shopping 3 times a month) and push personalized discounts, requiring merchants to use it without needing to understand data analysis.
The scenario-based toolkit allows small roles to 'choose as needed,' lowering the operational threshold for tools by 90%, with the usage rate of Web3 tools among offline merchants rising from 10% to 55%, and individual users redeeming on-chain data rights over 30,000 times per month.
3. Value conversion layer: Provide 'actionable business plans.'
To resolve the ambiguity in value conversion paths, Chainbase outputs 'data scenario-based business plans' for different roles, clarifying 'how data can be used, how much can be earned, and what the costs are.'
• Individual users: Data rights handbook: The platform regularly updates a 'list of offline rights redeemable with on-chain data' (e.g., 'Holding BAYC NFT can enjoy 20% off at 10 restaurants in Shanghai' and 'On-chain monthly transactions exceeding 5 can exchange for a 20 yuan voucher at the supermarket'), marking 'conditions for obtaining rights and redemption processes,' allowing users to convert data into actual discounts by following the handbook, with monthly average redemption earnings increasing by 45%.
• Small to medium projects: Tool implementation guide: Provide 'different scenario tool profit models' (e.g., 'Restaurant NFT redemption tool charges a monthly fee of 300 C from merchants' and 'Retail data tool charges 50 C for every 100 members serviced'), along with 'merchant integration case studies' (e.g., 'A tool connected to 20 coffee shops, generating a monthly income of 6000 C'), helping projects clarify commercialization paths, shortening the tool profit cycle from '6 months' to '1.5 months.'
• Offline merchants: Data operation plans: Customized 'Web3 data operation plans' for different industries (restaurants, retail, services), for example, the coffee shop plan includes 'NFT membership system design (Spend 100 yuan to receive 1 NFT, collect 3 for a free coffee)', 'On-chain data filtering for high-value customers (e.g., users holding coffee-related NFTs)', 'Activity effect evaluation indicators (member repurchase rate, NFT redemption rate),' and provides 'cost estimation' (e.g., tool monthly fee of 200 C, expected revenue increase of 3000 yuan). A community coffee shop operated according to the plan for three months, increasing NFT members by 200, with a repurchase rate improvement of 35%, achieving a return on investment ratio of 1:15.
3. The ecological value of scenario-based implementation: The transformation of small roles into 'data commercialization.'
Chainbase's scenario-based empowerment is not about 'passively letting small roles use Web3 data' but about 'actively letting data serve the business of small roles.' This transformation brings real value to each role.
For individual users, data has transformed from 'virtual assets' to 'tools for convenience in life.' Users no longer have to 'authorize data for the sake of earning C' but can use on-chain data to obtain offline consumption discounts and redeem daily services (such as coffee and supermarket shopping), with data truly integrated into life, shifting the motivation to participate in Web3 from 'profit-seeking' to 'practicality,' and the average monthly usage of data scenario applications increasing by 60%.
For small to medium projects, tools have transformed from 'on-chain toys' to 'necessary products for merchants.' The tools of projects are no longer limited to use within the Web3 circle but can be integrated into the daily operations of offline merchants (e.g., membership redemption, marketing analysis), addressing real pain points of merchants (e.g., member churn, low marketing accuracy). The commercialization space of the tools has expanded from the 'niche market' to the 'trillion-dollar offline consumption market,' with a four-person project increasing monthly revenue from '5000 C' to '30,000 C' through merchant tools.
For offline merchants, Web3 has transformed from a 'conceptual gimmick' into a 'revenue growth tool.' Merchants do not need to invest heavily in Web3 transformation; with lightweight tools and clear plans, they can use data to enhance customer loyalty (e.g., NFT locking) and targeted marketing (e.g., using on-chain data to filter customers). A community supermarket, through a data operation plan, reduced customer churn by 25% and increased monthly revenue by 20%, truly achieving 'making money for the real economy with Web3 data.'
From an ecological perspective, scenario implementation has completely broken the 'boundaries' of the Web3 data ecosystem—on-chain data combines with offline consumption, Web3 tools serve the real economy, and the business needs of small roles feed back into ecological innovation, forming a positive cycle of 'data serving business, business driving data.' As of May 2024, Chainbase has promoted Web3 data to be implemented in 12 offline industries, including catering, retail, and services, covering community merchants in over 300 cities, facilitating more than 500,000 'on-chain to offline business interactions,' and increasing the 'practicality rate of Web3 data' from 5% to 35%.
4. Long-term significance: The 'practicality' transformation of Web3 data is a key step towards ecological maturity.
The long-term value of the Web3 ecosystem lies not in how many 'virtual data assets' are created, but in whether these assets can serve human real needs—consumption, life, work. The scenario-based implementation of Web3 data promoted by Chainbase is essentially a key transformation of Web3 data from 'virtual to practical,' and this transformation's significance to the ecosystem far exceeds 'tool innovation.'
It allows Web3 to move from 'niche circles' to 'mainstream life'—when ordinary users can exchange on-chain data for a cup of coffee, and community supermarkets can use NFT memberships to increase revenue, Web3 truly breaks away from 'speculative attributes' and becomes a practical technology that ordinary people can perceive and use; it shifts the Web3 data ecosystem from 'self-circulation' to 'serving the real economy'—Web3 data is no longer just used for on-chain transaction analysis, but can provide value for offline consumption and merchant operations, forming a closed loop of 'Web3 empowering the real economy'; it transforms small roles from 'bystanders of Web3' into 'co-builders of the ecosystem'—the business needs of small roles become the guiding direction for Web3 innovation, and the ecosystem is no longer dominated by leading institutions, but driven by the genuine demands of diverse roles.
In the future, as more offline scenarios are covered and more scenario-based tools are developed, Web3 data may become as ubiquitous as 'mobile payments'—individuals use data to enjoy services, merchants use data to improve operations, and projects use tools to serve the market. Infrastructure like Chainbase is precisely the 'catalyst' for this transformation—it does not produce data nor directly operate businesses, but builds a 'bridge between data and business,' enabling the true realization of Web3 data value, allowing small roles to equally enjoy data dividends, which is the core sign of the maturity of the Web3 ecosystem.
