Our Solution
Last updated
Last updated
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.
Our SaaS platform helps customers understand which marketing strategies work best, analyzing how users interact with ads and leading to more successful conversions. We're integrating an enterprise-level LLM generative AI into our system. This generative AI interface is a game-changer, offering in-depth analysis of marketing and advertising analytics, making data retrieval and analysis as easy as having a conversation.
Comprehensive Ad Attribution: Track engagements across Web2 and Web3 to offer advertisers a complete view of user interactions.
User-Driven Data Monetization: Enable users to earn rewards by sharing verified, privacy-protected data.
Fraud-Resistant Data: Utilize AI and blockchain technology to ensure data accuracy, combat Sybil attacks, and enhance ROI for advertisers.
Our Ad Attribution System provides a comprehensive suite of insights derived from SDK, designed to enhance your understanding of user engagement and conversion metrics. Here's what our system offers:
Daily Clicks Analysis: We provide a detailed graph showing the number of clicks your ads or organic content receive each day, allowing you to track engagement trends over time.
Unique Wallet Address and Device Tracking: Our system identifies the number of unique devices accessing your website, which decodes the lump sum of your marketing data, and groups it by actual identity.
Page Visit Insights: We track page visits to give you a detailed understanding of which pages attract the most attention and how users navigate through your site.
Conversion Information: For users who convert, such as by providing an email ID and username to access a paper or other resources, we capture and report these conversion events. This data helps you understand what drives users to take action.
User Timezone Data: By analyzing the timezones of your website's visitors, we can help you tailor your content and ad timing to match your audience's geographic distribution.
IP Address Analysis: While we have the capability to track IP addresses, we ensure this information is handled with privacy in mind and is not made public, aligning with data protection standards.
Device Type Identification: Our system identifies the type of device being used to access your website, whether it's a mobile phone, tablet, or desktop. This insight helps in optimizing your website's design and functionality for different devices.
These insights will significantly optimize ROI on our platform by enabling targeted and data-driven marketing strategies. Here's how:
Efficient Ad Spend Allocation
By understanding daily clicks and user engagement trends, you can allocate your ad spend more efficiently, focusing on high-performing ads and discontinuing those with lower engagement.
Audience Segmentation
Insights into the number of unique devices and types of devices used to access the website allow for precise audience segmentation. Tailoring your content and ads to specific segments can dramatically increase conversion rates.
Conversion Optimization
With detailed conversion information, such as email IDs and usernames, you can identify which content or offers are most effective at converting users. This enables you to replicate successful strategies and improve overall conversion rates.
Digital fingerprinting for attribution involves identifying and tracking users across devices and sessions by leverage browser attributes. Even in the presence of limited data, it is crucial for advertising platforms, such as Lucia Protocol to accurately attribute users’ actions and calculate lifetime value (LTV) and customer acquisition cost (CAC). This paper focuses on Random Forest classification as a method to process such small datasets and demonstrate its theoretical ability to achieve near perfect accuracy.
Operating System
Timezone
Language
CPU Class
Device Type
Plugins
Fonts
Color Depth
Battery Life
Browser Version
Touch Support
Platform
Random forest classification is an ensemble learning method that constructs a large number of decision trees during training and outputs the majority vote across all trees. For digital fingerprints, we use features such as:
Our AI LLM decreases learning curve. You don’t need to spend time figuring out marketing intricacies, you have access to the raw data.
It’s integrated into the Ad Attribution platform, plays a crucial role in collecting, analyzing, and interpreting marketing data to provide actionable insights and analytics for strategy refinement. Here's how it works:
Campaign Performance Analysis
It analyzes the statistical information of campaign performance, which is displayed on the dashboard. This includes metrics such as click-through rates, conversion rates, and engagement levels across different marketing campaigns.
Insight Generation
Leveraging advanced AI algorithms, the LLM processes the collected data and campaign performance metrics to identify patterns, trends, and anomalies. This analysis helps in understanding what strategies are working, which ones are not, and why.
Got a minute? Check out a video overview of our product:
