> For the complete documentation index, see [llms.txt](https://mhnt.gitbook.io/metahunt-wp/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mhnt.gitbook.io/metahunt-wp/referral-program.md).
# Referral Program
1. Referral Links: Each user receives a unique referral link that they can share with others. This link is the key to tracking referred purchases and allocating rewards.
2. Sharing: Users share their referral links with potential new users. This could be via social media, email, personal messaging, or any other method of communication.
3. New User Purchase: When a person receives a referral link and uses it to make a purchase, they become a referred user. In the context of our system, this purchase is specifically for in-game tickets.
4. Ticket Sales Tracking: Our system tracks the purchase of in-game tickets made by referred users. This ensures accurate allocation of rewards based on these sales.
5. Reward Allocation: The user who initially shared their referral link (the referer) receives a reward. This reward is a percentage of the in-game ticket sales made by their referred users.
6. Reward Percentage: The reward for the referer is calculated as 10% of the in-game ticket sales made by their referred users. For example, if a referred user purchases $100 worth of in-game tickets, the referer would receive a $10 reward.
7. Reward Distribution: The reward is then given to the referer, providing an incentive for users to share their referral links and expand the user base. This cyclic process of sharing, purchasing, and rewarding continues to support the growth of the platform.\
\
**Unleashing the Power of Gaming Streamers: Integrating Referrals for Growth**
We believe that our referral system will be a powerful tool when integrated with Live gaming streamers on popular platforms such as Twitch, Kick, and YouTube. Live Streamers with a substantial following can leverage their influence to onboard their communities to the MHUNT platform using their unique referral links.
---
# 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://mhnt.gitbook.io/metahunt-wp/referral-program.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.