Activity Rewards and Point Weights
This detailed guide explains the reward system within the RewardHub ecosystem, focusing on how users earn points through various activities.
Understanding Point Weights
Point weights are assigned to different user activities based on their value to the ecosystem. These weights determine how much each action contributes to a user's overall score, which is crucial for calculating rewards.
Activity Point Allocation Examples:
Posting Content: Every post made by a user is rewarded. This encourages quality content creation within the ecosystem.
Point Weight: 0.5 points per post.
Collecting NFTs: Users who collect or purchase NFTs are rewarded for participating in the ecosystem's economy.
Point Weight: 0.3 points per NFT collected.
Liking Content: Likes are a simple way for users to engage with content, showing appreciation for creators.
Point Weight: 0.1 points per like.
Following Users: Building connections within the community is rewarded to foster a more engaged user base.
Point Weight: 0.05 points per follow.
Tipping Creators: Supporting creators directly through tips is highly encouraged and rewarded.
Point Weight: 0.4 points per tip.
Bits Trading: Each 1 Matic used to buy Bits contributes to the activity score. Both the Bits owner and the buyer receive points.
Point Weight: 1 point for both the Bits owner and the buyer.
Score Calculation:
Scores are calculated by multiplying the activity count by its respective point weight. The sum of these calculations forms a user's total score, which is used to determine their share of the reward pool.
Example Calculation:
Let's say a user makes 10 posts, collects 5 NFTs, gives 20 likes, follows 10 users, tips 3 creators, and buys 5 Bits with Matic.
Total Score = (10 posts * 0.5) + (5 NFTs * 0.3) + (20 likes * 0.1) + (10 follows * 0.05) + (3 tips * 0.4) + (5 Bits * 1) + (5 Bits * 1) Total Score = 5 + 1.5 + 2 + 0.5 + 1.2 + 5 + 5 = 20.2 points
This calculation illustrates how various activities contribute to a user's total score, including the additional points earned through Bits trading.
Impact of Referral Tiers on Point Multipliers
Referral tiers play a crucial role in enhancing the rewards for users based on their contribution to growing the platform. The tier a user belongs to determines the multiplier applied to their activity points, amplifying their overall rewards.
Tier Definitions:
Bronze Tier (Tier 1): Users with 10 to 100 referrals fall into this tier. They receive a standard multiplier of 1x on all activity points.
Silver Tier (Tier 2): Users with 101 to 200 referrals are classified as Silver Tier members. They enjoy a multiplier of 1.2x on all activity points, increasing their rewards slightly.
Gold Tier (Tier 3): Gold Tier users have 201 to 300 referrals. They benefit from a multiplier of 1.5x on all activity points, significantly boosting their rewards.
Platinum Tier (Tier 4): Users with 300 or more referrals achieve Platinum Tier status. They receive an impressive multiplier of 2x on all activity points, maximizing their rewards.
Multiplier Application:
For example, suppose a user in the Gold Tier earns 10.2 points from various activities. Their score is adjusted by the 1.5x multiplier corresponding to their tier.
Adjusted Score = 10.2 * 1.5 = 15.3 points
This adjusted score reflects the increased rewards received by users in higher referral tiers, incentivizing them to continue contributing to the platform's growth.
Reward Distribution
After the conclusion of a reward round, the total points accumulated by all participants are used to calculate the share of the reward pool each user receives. Users with higher scores receive a larger portion of the reward pool, incentivizing active and meaningful participation within the ecosystem.
Conclusion
This point-based reward system is designed to recognize and reward users for their contributions to the platform. By engaging in various activities, users can increase their scores, climb referral tiers, and earn more significant rewards. The system ensures that active users who contribute to the platform's growth and vibrancy are appropriately rewarded for their efforts.
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