> For the complete documentation index, see [llms.txt](https://docs.lmtls.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lmtls.io/plans/business-plan/ad-network.md). # AD Network ## AD Network within the LMTLS Ecosystem As the LMTLS ecosystem matures and establishes a solid user base and alliance participation, the LMTLS ADN (Advertising Network) project is being launched. The plan is to gather online media platforms that are part of the LMTLS alliance or mobile services willing to join LMTLS ADN, dedicating space that was previously allocated to ADNs like Google AdMob. The wallet-level data generated within the LMTLS ecosystem is expected to replace the traditional Data Management Platforms (DMPs) that relied on Google Advertising ID (GAID) or Apple Advertising ID (IDFA) for precise targeting. With Apple's restrictions on IDFA, targeting capabilities of DMPs have become increasingly challenging, and the LMTLS ecosystem presents an alternative to overcome this current situation. What sets LMTLS apart from other ADNs is the ability to achieve precise targeting by leveraging the wallet information of LMTLS users and providing integrated rewards to users who hold LMTLS wallets based on their ad views. Various types of advertisements, such as LXP-based ads and display ads, can be delivered to users with DID-based wallets. LMTLS enables advertisers, media platforms, and ad viewers to engage in a healthy interaction, facilitating an advertising ecosystem that is difficult to achieve on other ADNs. The advertising revenue generated through the LMTLS ADN project can be used not only for business operations and participant distribution but also for revenue sharing and dividends to users and alliance members. The LMTLS ADN project also aims to develop cross-analysis of advertising performance by integrating Wallet Data Analysis with MMM (Media Mix Modeling) services, allowing comparison and optimization of advertising strategies across different platforms and channels. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.lmtls.io/plans/business-plan/ad-network.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.