Today, individuals' data is collected and stored by centralized systems without consent and the option to “opt-out” is only available after the fact. This has led to increased regulation, hacker incentives, and lost trust with consumers. Meanwhile, advertisers and researchers have proven access to accurate consumer data increases return on ad spend, leading to increased demand.
The facilitation of audience data aggregation, organization, and accessibility is owned by a handful of centralized organizations that provide little transparency to end consumers and advertisers. This black box approach has lead to massive silos of data that must be fixed at all sides of the marketplace: Data-Owners, Data-Exchanges, and Data-Users.
The DAX token (ERC20 compatible) will be the unit of exchange that enables control and rewards for Data-Owners while providing decentralized storage of data through advancements in blockchain technology.
The market for a decentralized personal data exchange will be won with scale and trust. Our foundational data-exchange partnership with AddShoppers gives us a head start.
Foundational Network Scale
- 100,000,000+ monthly unique consumers
- 5,000+ domains live on our technology
- 3,000+ API requests per second average
Trust + Experience
- 6+ years of activating customer data
- Proven B2C marketplace builders
- TRUSTe certified Privacy practices
- PCI DSS Compliant
How the data marketplace will function
Individuals need transparency into their customer record in a simple-to-use interface that’s mobile-first and browser accessible. You, as an end consumer know if you’re in-market for a car, house, shoes, etc. Why should companies have to guess what you’re interested in when you can just tell them? With DAX, Data-Owners will receive a fair share of the monetary benefit when a Data-User purchases access to their customer record.
The users of audience network data will include a broad range of enterprises, non-profits, and research companies that get direct value from more accurate data, better targeting, and additional network insights between audience cohorts.