💡 Lucia Attribution Doc Server
📦 Lucia SDK NPM Library
We are developing an AI-powered Ad Attribution platform with a sophisticated LLM for enterprises. This platform helps clients using various marketing channels to identify the most effective strategies and understand user engagement with their advertisements, leading to successful conversions. This user data is subsequently rechanneled into our protocol, enhancing the assessment of creditworthiness.
Lending and KYC are intertwined by design. Without KYC, unsecured lending is not possible. Unsecured lending is not impossible in the DeFi world. In fact most of the financial world today relies on unsecured lending - for example in Venture Capital deals or consumer credit cards. In order for money to be returned there has to be some concept of identification when a loan is originated, and a document that serves as a registry for prior lending activities.
Attribution is the practice of creating a non-invasive mechanism for modeling authentication. Lucia’s lending protocol, or any lending protocol can be further refined by creating a KYC requirement for all borrowers using their state issued ID. An optional biometric verification layer can also be added as a quality of life improvement feature.
However, not one single method (biometrics, attribution, state ID) is fool proof. Rather its the combination of all of these methods that will create a highly robust and liquid ecosystem for lenders and borrowers.
What problem we are trying to solve:
We are addressing the gap in enterprise-level solutions for optimizing customer acquisition strategies in marketing campaigns. Many businesses struggle to effectively target and engage potential customers due to a lack of advanced tools and analytics, or they use analytics products but due to inaccuracies make the wrong decision. These tools will help businesses identify and reach their ideal customer segments more efficiently, allowing customers (clients) to measure customer acquisition cost, average lifetime revenue per user, and the Blockchain based analogs - such as how much in gas fees each user is spending or how much they are collateralizing. Thereby enhancing the trust of the company in the form of greater TVL, greater tx volume and ultimately improving their return on investment.
What is the solution to the problem:
Our SaaS platform helps customers understand which marketing strategies work best, analyzing how users interact with ads and leading to more successful conversions. This data isn't just valuable for marketing; it feeds back into our credit assessment, giving a more dynamic picture of creditworthiness.
Furthermore, 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.