> For the complete documentation index, see [llms.txt](https://ecosapiens.gitbook.io/ecolink-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ecosapiens.gitbook.io/ecolink-ai-whitepaper/network-growth-and-adoption/seasonal-rewards-accelerating-network-growth.md). # Seasonal Rewards: Accelerating Network Growth The Ecolink AI Airdrop Campaign, launching in February 2025, is strategically designed to accelerate both product development and user growth—key drivers of our net-emissions model. Through a multi-season rewards program, participants can earn points that convert to $MEGA tokens by contributing to the network's development and expansion. ## Campaign Structure The campaign operates through two primary channels: ### App Quests * Product scanning and verification * Data contribution and reviews * Merchant discovery and onboarding * Ongoing verification of claims ### Social Quests * Community building activities * Protocol awareness initiatives * Merchant adoption acceleration * Standard development participation ## Dynamic Rewards Rather than fixed allocations, rewards are dynamic and may be adjusted based on: * Participation levels * Network needs * Season objectives * Community feedback ### Seasonal Approach The campaign will run over multiple seasons, each with: * Updated quest types * Evolving reward structures * New participation opportunities * Community-driven objectives ### Strategic Impact This campaign directly supports our net-emissions model by: * Accelerating user adoption * Expanding verified merchant base * Enriching product data * Strengthening network effects --- # 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://ecosapiens.gitbook.io/ecolink-ai-whitepaper/network-growth-and-adoption/seasonal-rewards-accelerating-network-growth.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.