Crypto Assets users tend to seek instant gratification

A new study reveals the unique behavior patterns of Crypto Assets users, providing new insights for token airdrop and distribution strategies.

main findings

Research has found that Crypto Assets users typically exhibit a higher tendency for instant gratification and a lower discount rate, which means they prefer immediate rewards over future gains. This behavioral pattern is particularly evident in the highly volatile and speculative Crypto Assets market.

Hyperbolic Discounting Model Analysis

The hyperbolic discounting model helps us understand how individuals weigh returns at different points in time through the two parameters of immediate inclination (ꞵ) and discount factor (𝛿). This model is particularly suitable for analyzing areas influenced by impulses and inconsistencies, such as financial decision-making.

• Instantaneous Preference (ꞵ): Measures the degree to which an individual prioritizes immediate rewards, with values closer to 0 indicating a stronger instantaneous preference.
• Discount factor (𝛿): reflects the rate at which the value of future returns decreases over time delays.

Research Results Analysis

The survey shows that the instant inclination of Crypto Assets users is slightly above 0.4, and the discount coefficient is significantly low. This indicates that they are more impatient than the general population and prefer instant gratification.

Possible reasons for this phenomenon include:

1. The cyclical fluctuations of the Crypto Assets market lead users to prefer frequent trading rather than holding long-term.
2. The uncertainty of users regarding the future value of the token may stem from the speculative nature of the market.
3. The current Crypto Assets ecosystem is deeply rooted in speculation and trading culture.

real-world application cases

A certain perpetual product exchange adopted a delayed reward mechanism when launching its native coin. Users who wait for 6 hours to claim the airdrop can receive double rewards. The results show that 85% of users chose to wait. This case illustrates that even in a group with a strong tendency for instant gratification, a well-designed incentive mechanism can effectively influence user behavior.

Conclusion

Understanding the behavioral characteristics of Crypto Assets users is crucial for designing effective token distribution and airdrop strategies. Project teams can leverage these insights to create reward mechanisms that better align with user preferences and the project's long-term goals.