Abstract
Our project solves the problem of inefficient targeting and privacy concerns in marketing. We allow users to sign up anonymously via wallet addresses, keeping personal data secure on-chain. Our AI analyses wallet activity to group users for targeted campaigns, without revealing any personal information. Companies pay for access to these anonymized groups, and users earn a share of the revenue, maintaining full privacy while benefiting from incentives. This creates a win-win for both users and companies, combining privacy with effective, data-driven marketing.
Value Proposition
We enable private, AI-driven marketing by grouping anonymous users for targeted campaigns. Companies reach audiences without personal data, and users earn revenue while maintaining full privacy. Components of the use case include:
- iExec : Data protector and Data Sharing was used for storing user emails and scraped and processed user wallet history data. Confidential computing was used to run trained model (training was done off chain). Web3 mail was used to send emails to companies target users. Feedback collected here: https://docs.google.com/document/d/1pdOEU0APxvcWTRnJUanZ-SrY42wM38OYiikmZPcCsQg/edit?usp=sharing
- Chainbase component: We used Chainbase API to scan the wallets and gather the data we use to train our AI model.
- AI bounty: We created AI model to predict the eligible users for campaigns and contact them.
Identity Management
Data Provenance
Governance