3.2 Sustainability of the Action-to-Earn (A2E) Model

Traditional Play-to-Earn (P2E) or Play-and-Earn (P&E) models are often designed with a short-term focus, primarily revolving around token-based rewards, which limits the long-term viability of the ecosystem.
The influx of speculative users can lead to rapid token devaluation and destabilize the community structure.

Diversified Revenue Streams: Integrate multiple engagement and monetization layers beyond A2E, such as match prediction markets, NFT trading, and premium content subscriptions, to create sustainable user incentives.
Dual-Economy Design: Implement a two-tiered economic model that separates utility tokens (8BALL) from internal reward points (BHP), ensuring both functional utility and monetary stability within the ecosystem.
DAO-Enabled Community Governance: Empower users through decentralized governance, allowing active participation in decisions related to reward policies, tokenomics, and platform evolution—driving long-term ecosystem resilience.

Last updated 27 days ago

Traditional Play-to-Earn (P2E) or Play-and-Earn (P&E) models are often designed with a short-term focus, primarily revolving around token-based rewards, which limits the long-term viability of the ecosystem.
The influx of speculative users can lead to rapid token devaluation and destabilize the community structure.

Diversified Revenue Streams: Integrate multiple engagement and monetization layers beyond A2E, such as match prediction markets, NFT trading, and premium content subscriptions, to create sustainable user incentives.
Dual-Economy Design: Implement a two-tiered economic model that separates utility tokens (8BALL) from internal reward points (BHP), ensuring both functional utility and monetary stability within the ecosystem.
DAO-Enabled Community Governance: Empower users through decentralized governance, allowing active participation in decisions related to reward policies, tokenomics, and platform evolution—driving long-term ecosystem resilience.

Last updated 27 days ago