- May 27, 2025
- Platform
In the competition among fintech platforms, user growth has shifted from a crude approach to a refined operation-driven approach. HSAM's Hunter Coin Program builds a sustainable user growth flywheel through a data-driven design logic, which centers on transforming user behavioral data into a quantifiable incentive mechanism.
The platform has built a multi-level data collection system to track user behavioral data in invitation, registration and transaction in real time. When user A invites user B to register through an exclusive link, the system not only records the invitation relationship, but also tracks 12 dimensions of data, such as the frequency of B's login within 7 days after registration, the time of completing real-name authentication, and the type of product in the first transaction. After these data are cleaned and analyzed, the reward coefficient for user A will be dynamically adjusted. For example, if B completes high-risk product transactions quickly after registration, it means that A's invitation quality is high, and the system will give an additional 15% Hunter Coin bonus.
In order to ensure the fairness of the incentive mechanism, the platform introduces blockchain technology to realize the non-tampering of data. Each reward will generate a unique hash value and synchronously record it on the distributed ledger. Users can use the “Data Traceability” function on the HSAM client to view the whole process of incentive calculation, including the registered IP and device fingerprint of the invited users. This transparent data display has enabled the platform to achieve 98% data authenticity recognition in the 2024 User Trust Survey.
From a data modeling perspective, the platform uses reinforcement learning algorithms to optimize reward strategies. By simulating 100,000+ user growth scenarios, the system dynamically adjusts the step threshold of invitation rewards. During the period of fierce competition in the market, when monitoring the accelerated user growth rate of competing platforms, the system will automatically increase the reward coefficient for inviting 5 consecutive valid users by 20%, and at the same time, reduce the upper limit of single-day invitations for a single user, so as to prevent malicious brushing.