Move-to-Earn Models: Token Rewards for Physical Activity

Summary

The article explains move-to-earn (M2E), also called FitnessFi, as a Web3 model that rewards physical activity with project tokens or non-fungible tokens. It describes gamification as a way to encourage participation and retention, then gives possible adoption drivers: people with active jobs may earn while moving, health-conscious consumers may value fitness incentives, and employers or insurers may support healthier behavior. These are proposed motivations rather than measured market evidence.

Two Solana-based examples illustrate different reward designs. STEPN requires users to own an NFT sneaker, with rewards influenced by its characteristics and available energy; the project has utility and governance tokens. Genopets ties step counts to experience used to develop NFT pets, with a separate token and planned marketplace. The account notes early activity and funding figures for STEPN and describes Genopets as being in beta at the time. It does not analyze token sustainability, reward funding, user retention, or investment performance, and its 2022-era framing may not reflect current project status.

Key ideas

• M2E connects recorded physical activity with digital token or NFT rewards.
• The model applies gamification and financial incentives to encourage user engagement.
• STEPN links rewards to NFT sneaker attributes and energy, while Genopets links steps to pet progression.
• Employers, insurers, and health-conscious users are presented as possible adoption sources.
• The article does not assess whether reward economics or project adoption can persist over time.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.