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Loyalty-Based Emission Design

DeFi Strategies • Yield Models • Token Income

yield systems that reward time, trust, and alignment

Loyalty-Based Emission Design is a reward architecture that prioritizes long-term participation over immediate capital injection. Instead of flat APR or front-loaded incentives, these systems calibrate yield distribution based on user loyalty — measured by duration staked, consistency of action, uninterrupted engagement, or progressive unlocks. It shifts the reward economy away from speculative inflows toward values of trust, alignment, and protocol resilience.

Use Case: A protocol distributes emissions using Compound Loyalty Curves, Reward Multipliers, and Reset Penalty Systems, ensuring only those who show loyalty over time unlock the deepest layers of yield, governance, and access.

Key Concepts:

Summary: Loyalty-Based Emission Design turns yield into a reflection of commitment. It filters mercenary behavior, slows capital churn, and aligns long-term users with the protocol’s health and mission — rewarding those who stay, not just those who arrive early.

Design Element Loyalty Signal Reward Effect Protocol Outcome
Loyalty Curve Time Held Exponential Yield Deep User Anchoring
Multiplier Staking Duration Increased APR Capital Stickiness
Lock-In Unbroken Streak Tier & Access Preserved Voluntary Retention
Reset System Exit or Inactivity Progress Wiped Loyalty Enforcement
No-Yield Window Patience During Gap Delayed Gratification Filters Speculators

Traditional Emission Design
– Flat APR for all participants
– Front-loaded rewards
– No duration requirement
– Easy entry and exit
– Favors early entrants
Attracts mercenary capital
Loyalty-Based Emission Design
– Escalating APR over time
– Rewards distributed gradually
– Duration-based unlocks
– Exit friction and resets
– Favors committed users
Builds sustainable community
Design Choice: Traditional emissions attract TVL quickly but lose it just as fast. Loyalty-based designs grow slower but retain capital through cycles.

Loyalty Signal How It’s Measured Emission Impact
Staking Duration Days/weeks since stake start Multiplier increases over time
Continuity Unbroken stake without withdrawal Reset on exit, preserve on hold
Activity Streaks Consecutive actions (votes, claims) Streak bonuses, activity multipliers
Governance Participation Voting frequency and consistency Governance-gated yield tiers
Tier Progression Advancement through loyalty levels Higher tiers unlock better APR

Cliff Model
No rewards until threshold
Example: 0% until Day 30
Then full rate unlocks
Tests commitment upfront
Linear Escalation
Rewards grow steadily
Example: +1% per week
Up to maximum cap
Steady loyalty reward
Tiered Jumps
Step increases at milestones
Example: 10% → 15% → 20%
At 30/60/90 days
Clear goals to reach
Combination Strategy: Many protocols combine models — cliff for initial commitment, linear growth during engagement, and tier jumps for milestone rewards.

Loyal User Economics
– Enters with long-term view
– Stays through volatility
– Reinvests rewards
– Participates in governance
– Multiplier grows over time
– High LTV, low churn
Mercenary User Economics
– Enters for quick yield
– Exits at first opportunity
– Dumps rewards immediately
– Never votes or engages
– Never reaches higher tiers
– Low LTV, high churn
Design Goal: Loyalty-based emissions maximize value extracted from loyal users while minimizing value lost to mercenaries. The system naturally filters who stays and who leaves.

Component Function Implementation
Base Rate Starting APR for new users Low but competitive entry point
Multiplier System Scale rewards by duration 1× → 2× → 3× over months
Tier Thresholds Define loyalty milestones 30/60/90/180 day gates
Reset Mechanics Penalize early exits Full or partial reset on withdrawal
Cap Structure Maximum achievable yield Prevent infinite accumulation

Effective Loyalty Design
– Clear progression visible
– Achievable milestones
– Meaningful tier differences
– Proportional reset penalties
– Transparent rules
– Sustainable emission math
Common Mistakes
– Unreachable top tiers
– Trivial multiplier differences
– Excessive reset penalties
– Hidden or complex rules
– Unsustainable APR promises
– Whale-dominated tiers
Design Test: If average users can’t reasonably reach Tier 2 within 60 days, your design is too restrictive. If everyone reaches max tier in 30 days, there’s no loyalty differentiation.

Sample Formula
Effective APR = Base APR × Multiplier

Where Multiplier = 1 + (Days Staked × 0.01)
Cap at 3× maximum

Example at Day 90:
10% × (1 + 0.9) = 19% APR

Tiered Alternative
Day 0-30: 10% APR (Tier 1)
Day 31-60: 12% APR (Tier 2)
Day 61-90: 15% APR (Tier 3)
Day 91+: 20% APR (Tier 4)

Exit resets to Tier 1

Math Check: Always model total emissions over time. If your loyalty design leads to unsustainable payouts when users reach max tier, the protocol will fail regardless of retention success.

 
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