Arcade game machines have long utilized dynamic pricing strategies to optimize revenue, though their methods differ from digital models. Traditionally, physical coin mechanisms served as the primary pricing tool—operators could adjust the number of coins required per play during peak hours or for popular games. For instance, a racing game might cost two tokens during weekends when demand surges, while remaining at one token on slower weekdays. This manual adjustment creates a basic demand-based pricing structure.

Modern arcade systems incorporate more sophisticated approaches. Some redemption games or prize-dispensing machines automatically increase point thresholds for rewards during high-traffic periods, effectively making wins more expensive. Location-based pricing is another key tactic; machines placed in high-visibility areas like entrance zones often have higher per-play costs than those in quieter corners. Additionally, time-limited promotions—such as "unlimited play" passes for busy holidays—allow operators to capture maximum revenue during demand spikes without altering core pricing.

While arcades rarely use real-time algorithmic pricing like Uber, they leverage operational flexibility. Operators monitor machine performance data to identify popular games and adjust pricing during maintenance cycles. This hybrid model—combining manual adjustments, strategic placement, and promotional timing—ensures arcades balance accessibility with profit maximization across fluctuating demand patterns.