Bridging Ad Attribution Across Web2 and Web3

1. Executive Summary

Lucia Protocol is an AI-powered ad attribution platform that brings together Web2 and Web3 data for comprehensive, privacy-preserving insights. It allows users to control and monetize their data through a unique token economy, while providing advertisers with verified, fraud-resistant information across multiple chains and platforms. Lucia is designed for the future of digital marketing, offering a unified solution for advertisers to optimize ad spend and for users to capitalize on their digital identity in a decentralized ecosystem.

2. Problem Statement

2.1 Challenges in Digital Advertising

Modern digital advertising lacks transparency in ad spend efficiency, with limited accountability on tracking user engagements across diverse platforms. Key issues include:

• Fragmented User Journeys: Data silos in Web2 and Web3 limit the understanding of user engagement across platforms.
• Data Privacy Concerns: Users are increasingly wary of sharing personal data, given recent scandals and regulatory changes (e.g., GDPR).
• Ad Fraud and Sybil Attacks: Fraudulent actors manipulate ad engagement and identity, leading to inflated ad costs with low ROI.

2.2 Market Demand

As advertising continues its shift towards decentralization, Lucia addresses the need for secure, transparent, and efficient ad attribution that respects user privacy while delivering value to advertisers. By integrating both Web2 and Web3 data, Lucia Protocol meets this demand, delivering actionable insights to advertisers and direct monetary incentives to users.

3. Lucia Protocol Overview

3.1 Core Vision

Lucia Protocol aims to create an equitable ad ecosystem that provides advertisers with verified, actionable data while giving users the power to control and profit from their own digital identity. This platform’s ecosystem combines real-time attribution, decentralized identity, and an incentive-driven token economy.

3.2 Key Objectives

1. Comprehensive Ad Attribution: Track engagements across Web2 and Web3 to offer advertisers a complete view of user interactions.
2. User-Driven Data Monetization: Enable users to earn rewards by sharing verified, privacy-protected data.