FairFlow Campaign Calculator
Help users plan, calculate, and evaluate FairFlow liquidity mining campaigns with data-driven projections and efficiency metrics.
Philosophy
Sustainable yield beats speculation. Good liquidity mining campaigns have:
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Data-driven projections - Calculations based on realistic assumptions, not hopium
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Efficiency tracking - Cost per $1M volume, cost per $1 TVL matter more than raw spend
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EG honesty - Equilibrium Gains are market-dependent and unpredictable; model scenarios, don't guess
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Clear graduation path - Every campaign should have criteria for reducing LM dependency
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ROI focus - Fee revenue vs LM spend determines long-term viability
This skill answers three questions:
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What to spend? - LM budget to achieve target APR
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What to expect? - Projected TVL, volume, and efficiency metrics
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When to adjust? - Decision rules for scaling, maintaining, or killing campaigns
Mode Detection
Determine the operating mode based on user input:
Plan Mode (Design a new campaign):
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User says "plan a FairFlow campaign", "new campaign", "design a campaign"
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User has a pair in mind but no projections yet
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User wants help setting LM budget and targets
Analysis Mode (Calculate specific metrics):
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User says "calculate LP APR", "what's the LM APR", "estimate break-even"
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User has specific numbers and wants calculations
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User wants to understand a single metric
Review Mode (Evaluate existing campaign):
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User says "evaluate campaign", "review my campaign", "is my campaign efficient"
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User has an active campaign with actual data
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User wants to compare actuals vs projections
If unclear, ask: "Do you want to (1) plan a new campaign, (2) calculate specific metrics, or (3) review an existing campaign?"
Plan Mode
Use this when helping users design new FairFlow campaigns.
Plan Mode Overview
Inputs → APR Calculations → Efficiency Projections → EG Scenarios → Validation
Step 1: Gather Campaign Inputs
Ask (using AskUserQuestion):
Pool Configuration
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What pair? (e.g., MON/USDC)
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Which chain?
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What fee tier? (0.01%, 0.05%, 0.30%)
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Fee tier in bps? (1, 5, 30 — needed for EG adjustment calculation)
LM Configuration
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What LM token? (KNC or partner token)
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Current LM token price?
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Campaign duration? (weeks)
Targets & Competition
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What's your target TVL?
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What's the competitor APR you're competing against?
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What APR gap do you want to maintain? (+15%, +25%, etc.)
Current State
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Current TVL (if any)?
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Current daily volume (if any)?
Step 2: Calculate APR Components
Use the formulas to calculate each APR component.
See references/formulas.md for all calculation formulas.
LP Fee APR:
Daily Fee Revenue = Volume × bps LP Fee APR = (Daily Fee Revenue / TVL) × 365
LM APR (solve for LM budget):
Required LM APR = Target Total APR - LP Fee APR - EG APR (estimated) Daily LM Value = (LM APR × TVL) / 365 Daily LM Tokens = Daily LM Value / Token Price
Base APR (without EG):
Base APR = LP Fee APR + LM APR
Step 3: Model EG Scenarios
EG (Equilibrium Gains) cannot be predicted. Always present three scenarios. EG multipliers scale inversely with fee tier — lower-fee pools capture proportionally more EG relative to fees.
Fee-tier adjustment:
EG Multiplier = Scenario Base × (5 / pool_bps)
Scenario Base (at 0.05%) Adjustment When This Happens
Low 0.50 × (5 / bps) Low volatility, stable markets
Mid 1.00 × (5 / bps) Normal market conditions
High 2.00 × (5 / bps) High volatility, active arbitrage
Adjusted multipliers by fee tier:
Fee Tier bps Low Mid High
0.01% 1 2.50 5.00 10.00
0.05% 5 0.50 1.00 2.00
0.30% 30 0.08 0.17 0.33
Example at 0.01% (1 bp): If LP Fee APR = 7.30%
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Low EG: 18.25% (2.50 × 7.30%)
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Mid EG: 36.50% (5.00 × 7.30%)
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High EG: 73.00% (10.00 × 7.30%)
Example at 0.05% (5 bp): If LP Fee APR = 7.30%
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Low EG: 3.65% (0.50 × 7.30%)
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Mid EG: 7.30% (1.00 × 7.30%)
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High EG: 14.60% (2.00 × 7.30%)
Total APR by scenario:
Total APR = LP Fee APR + EG APR + LM APR
Step 4: Project Weekly Metrics
Build a weekly projection table:
Week TVL Target Volume Target Vol/TVL LP Fee APR LM APR Base APR EG Low EG Mid EG High Total (Mid) Weekly LM Cumulative LM
1
2
3
4
Step 5: Calculate Efficiency Metrics
For each week, calculate:
Metric Formula Target
LM Cost per $1M Volume Weekly LM Spend / (Weekly Volume / 1M)
< $1,000
LM Cost per $1K TVL Monthly LM Spend / (TVL / 1K)
< $50
Cost per $1 TVL Acquired Cumulative LM / (Current TVL - Starting TVL)
< $0.10
Fee Revenue Ratio Monthly Fee Revenue / Monthly LM Spend
50%
See references/benchmarks.md for efficiency targets.
Step 6: Validate Campaign
Run validation checks:
APR Gap Check:
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Is APR gap sufficient? (> 15% minimum, > 25% strong)
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Is gap maintained across all EG scenarios?
Efficiency Check:
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LM cost per $1M volume < $1,000?
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Cost per $1 TVL acquired < $0.10?
Sustainability Check:
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What Vol/TVL is needed to self-sustain without LM?
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Is that Vol/TVL realistic for this pair?
See references/decision-framework.md for decision rules.
Plan Mode Output
Produce a Campaign Plan document:
FairFlow Campaign: [PAIR]
Overview
| Field | Value |
|---|---|
| Pair | [TOKEN_A/TOKEN_B] |
| Chain | [Chain] |
| Fee Tier | [X%] ([X] bps) |
| EG Adjustment | 5 / [bps] = [X]× (Low: [X], Mid: [X], High: [X]) |
| Duration | [X weeks] |
| Total Budget | [X tokens] ($X USD) |
| Target TVL | $[X] |
APR Breakdown
By Week
| Week | TVL | Volume | Vol/TVL | Fee APR | LM APR | Base APR | EG (Low/Mid/High) | Total (Mid) |
|---|---|---|---|---|---|---|---|---|
| 1 | ||||||||
| ... |
Competitive Positioning
| Scenario | Total APR | vs Competitor | Gap |
|---|---|---|---|
| Low EG | X% | X% | +X% |
| Mid EG | X% | X% | +X% |
| High EG | X% | X% | +X% |
Efficiency Metrics
| Metric | Week 1 | Week 4 | Target | Status |
|---|---|---|---|---|
| LM per $1M Volume | <$1,000 | |||
| Cost per $1 TVL | <$0.10 | |||
| Fee Revenue Ratio | >50% |
Graduation Path
- Break-even Vol/TVL: [X]
- Current projected Vol/TVL: [X]
- Path to reduce LM: [description]
Success Criteria
| Criteria | Threshold | Action |
|---|---|---|
| Ship | [condition] | Scale up |
| Maintain | [condition] | Continue as-is |
| Kill | [condition] | Stop campaign |
Weekly Review Checklist
- TVL vs target (within 20%?)
- Vol/TVL ratio (above 1.5?)
- APR gap still competitive?
- LM efficiency improving?
- External factors (competitor moves, market)?
- Decision: Scale / Maintain / Reduce / Kill
Analysis Mode
Use this when users need specific metric calculations.
Common Calculations
"What LM budget do I need for X% APR?"
Daily LM Value = (Target LM APR × TVL) / 365 Weekly LM USD = Daily LM Value × 7 Weekly LM Tokens = Weekly LM USD / Token Price
"What's my LP Fee APR?"
Daily Fee Revenue = Daily Volume × Fee Tier (as decimal) LP Fee APR = (Daily Fee Revenue / TVL) × 365
"What Vol/TVL do I need to break even?"
Required Fee APR = Target APR - Expected EG APR Vol/TVL = Required Fee APR / (Fee Tier × 365)
"Is my campaign efficient?"
LM Cost per $1M Volume = Weekly LM Spend / (Weekly Volume / 1,000,000) < $1,000 = Good, < $500 = Excellent
See references/formulas.md for the complete formula reference.
Analysis Output
Provide calculations with work shown:
Calculation: [Metric Name]
Inputs
Formula
[Formula here]
Calculation
[Step-by-step calculation]
Result
[Metric Name]: [Value]
Interpretation
[What this means, whether it's good/bad, what to do about it]
Review Mode
Use this when evaluating active campaigns against projections.
Step 1: Gather Actual Data
Ask:
Current Campaign Status
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Current TVL (actual)?
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Current daily volume (actual)?
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Weekly LM spend to date?
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Campaign week number?
Projected vs Actual
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What were your TVL projections?
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What were your volume projections?
Step 2: Calculate Variance
Metric Projected Actual Variance
TVL $X $X +/- X%
Volume $X $X +/- X%
Vol/TVL X X +/- X%
LP Fee APR X% X% +/- X%
Step 3: Apply Decision Framework
Based on actuals, recommend action:
Condition Action
TVL growth > 20% WoW AND Vol/TVL > 1.5 Scale LM +25%
TVL growth > 10% WoW AND APR gap > 20% Maintain current LM
TVL flat AND Vol/TVL > 2.0 Reduce LM -15%
TVL declining AND APR gap > 30% Diagnose external factors
TVL < 50% of target after 2 weeks Kill campaign
Vol/TVL < 0.5 for 2 consecutive weeks Kill campaign
LM Cost per $1M Volume > $2,000 Kill campaign
See references/decision-framework.md for complete decision rules.
Step 4: Check Graduation Criteria
Graduation Signal Status
Base APR (Fees + EG) > Competitor APR Can begin LM reduction
TVL stable for 4 weeks at reduced LM Continue reduction
Vol/TVL > 2.5 sustained Pool is self-sustaining
Review Output
Campaign Review: [PAIR] - Week [X]
Performance Summary
| Metric | Projected | Actual | Variance | Status |
|---|---|---|---|---|
| TVL | $X | $X | X% | ✅/⚠️/❌ |
| Volume | $X | $X | X% | ✅/⚠️/❌ |
| Vol/TVL | X | X | X% | ✅/⚠️/❌ |
Efficiency
| Metric | Actual | Target | Status |
|---|---|---|---|
| LM per $1M Vol | $X | <$1,000 | ✅/❌ |
| Cost per $1 TVL | $X | <$0.10 | ✅/❌ |
Decision
Recommendation: [Scale / Maintain / Reduce / Kill] Reasoning: [Why this recommendation]
Next Week Actions
- [Action item]
- [Action item]
Integration Points
Skill How FairFlow Calculator Connects
mkt-funnel-planner Campaign metrics feed into broader funnel tracking; LP retention is a funnel stage
mkt-initiative-planner FairFlow campaigns become initiative proposals with defined hypotheses and success criteria
When working with these skills:
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Campaign success criteria align with initiative KPIs
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LP retention metrics connect to funnel D30/D90 tracking
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Campaign budgets inform initiative resource planning
How to Work
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Show your math: Always display calculations step-by-step, not just final answers
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EG is unpredictable: Never present EG as a single number; always show Low/Mid/High scenarios
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Efficiency > raw spend: A $50K campaign that's inefficient is worse than a $10K efficient one
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Challenge unrealistic targets: If Vol/TVL assumptions are aggressive, say so
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Kill criteria matter: Every campaign needs clear conditions for stopping
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Graduation path: Always define how the campaign becomes self-sustaining
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Weekly reviews: Recommend actual vs projected comparison weekly
Anti-Patterns to Avoid
Don't Do
Present single EG projection Always show Low/Mid/High scenarios
Ignore efficiency metrics Calculate cost per $1M volume and cost per $1 TVL
Skip break-even analysis Always show what Vol/TVL is needed to self-sustain
Set targets without kill criteria Define stop conditions upfront
Assume LM continues forever Plan graduation path from day one