Reward Model
In the YOM ecosystem, nodes refer to individual connections established between gaming machines and the network, enabling seamless cloud gaming experiences for end-users. Node operators allocate their gaming rigs to support these nodes and earn $YOM tokens, with rewards based on session-based economics that align with the interests of both studios and advertisers.
Running Nodes Concurrently:
Concurrent Connections: The capacity of a gaming machine to handle multiple nodes concurrently depends on its hardware capabilities. High-performance rigs can manage up to 8 concurrent connections, while less powerful machines may support fewer. This setup incentivizes operators to contribute more robust hardware to the network.
Benchmarking: YOM employs an automated benchmarking process to assess each machine's performance, determining the optimal number of concurrent connections it can sustain.
Session-Based Rewards
The YOM reward structure is designed to directly align with advertising revenue, ensuring sustainable and predictable earnings for node operators.
Core Concept: Advertising Value Alignment
The reward model is built around the premise that:
Each session generates ad revenue equivalent to two video advertisements.
On average, two video ad impressions are valued at $0.05 per session, based on standard industry rates.
With an average session length of 10 minutes, this translates to: 0.05 (ad revenue per session) * 6 sessions/hour=0.30 per streaming hour
This structure ensures that node operators are fairly compensated in alignment with advertiser contributions, making the system transparent and scalable.
Why a Session-Based Model?
Adopting a session-based reward structure offers multiple strategic advantages for the ecosystem:
Alignment with Studios:
Studios prioritize attracting and retaining as many users as possible rather than being penalized based on time spent.
The session-based model aligns directly with studio goals, encouraging them to focus on increasing engagement and repeat visits, leading to more sessions and network activity.
Seamless Advertising Integration:
Advertisements are positioned at the beginning of each session, minimizing disruption while maximizing revenue potential.
Studios also receive a kickback from ad revenue, encouraging them to embed additional ad blocks natively in the game, effectively triggering a new session.
Predictable Revenue for Node Operators:
While session lengths may vary, the law of averages ensures consistent session counts across nodes per month, leading to stable earnings for operators.
Regional Reward Modifiers
To ensure fair and competitive earnings across different geographic locations, YOM implements regional reward modifiers based on insights from advertiser networks.
Advertiser Network Insights:
Ad revenue varies significantly across regions; rewards are adjusted accordingly to ensure balanced compensation.
The goal is to ensure that node operators receive rewards equivalent to the value of 2 ad impressions per session, naturally adjusting for differences in regional ad revenue potential.
Balanced Earnings Approach:
High-value regions (e.g., North America, Western Europe) may yield higher rewards per session.
Lower-value regions (e.g., Latin America, Southeast Asia) will have adjusted payouts while still ensuring fair compensation.
By applying regional adjustments, YOM creates an equitable ecosystem where node operators in all parts of the world can earn rewards that are competitive within their respective region.
Streaming Difficulty Modifier
Each game and stream configuration introduces different levels of complexity, affecting the base rewards calculated for each session.
Game Performance Benchmarking:
Less optimized games receive a higher difficulty rating, increasing the $YOM/hr value for hosting them.
Example: A poorly optimized game may have a 1.5x reward modifier compared to a highly optimized title.
Streaming Quality Settings:
Studios opting for higher resolutions (e.g., 4K, 60 FPS) will encounter increased difficulty ratings, reflecting the additional computational power required to maintain a smooth experience.
Thus, the final reward formula is:
x YOM/u/hr = Base Reward × Streaming Difficulty × Regional Modifier
Stakeholder Distribution
Once the total $YOM reward value is determined, it is distributed among stakeholders as follows:
The majority of the rewards go directly to node operators to incentivize their participation and ensure high uptime and performance.
Burned
A fixed percentage of all network rewards is permanently burned, supporting YOM's deflationary token model
Kickback
Studios and creators deploying content receive a share of the revenue to further incentivize engagement and growth.
Conclusion – A Transparent, Session-Based Ecosystem
By structuring node rewards around session-based pricing, regional adjustments, and difficulty modifiers, YOM ensures that:
Node operators can expect stable, long-term earnings.
Studios and advertisers benefit from an efficient, revenue-aligned ecosystem.
The network continues to scale with fair incentives across all stakeholders.
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