Most SocialFi projects build tokenomics around a single action — “buy the token, get access.” But in a platform for sports communities, the economics are more complex: you need to simultaneously attract clubs, retain fans, and generate sustainable token demand. This case examines how we designed a dual-layer system — a native platform token + club fan tokens — and why the launchpad became the primary demand driver.
Context: A Platform for Sports Communities
A SocialFi platform connecting sports clubs with their audiences. Model: each club gets its own fan token, and the platform provides infrastructure — from issuance to trading. Fans use the native platform token to purchase fan tokens, vote, and participate in club activities.
Tasks for the tokenomist:
- Create demand for the native token — not speculative, but structural: fan tokens can only be purchased with the native token
- Scale club acquisition — from small (5,000 followers) to large (1M+), with different economics for each tier
- Ensure sustainability — buyback at low prices, fee burning, controlling sell pressure from investors
Solution: Dual-Token System
The architecture has two layers: a native platform token and individual club fan tokens. Fan tokens are issued through a built-in launchpad and can be acquired only with the native token — this is the key demand mechanism.
Allocation and Vesting
Total supply — 2,100,000,000 tokens, distributed across 9 categories:
| Category | Amount | Share | Cliff + Vesting | Purpose |
|---|---|---|---|---|
| Private Sale | 300M | 14.3% | 6 + 12 months | Early investors |
| Infrastructure Round | 250M | 11.9% | 12 + 12 months | Strategic partners |
| Presale (syndicates) | 30M | 1.4% | 3 + 6 months | Community round |
| Public Sale (IDO) | 5M | 0.24% | 0 + 1 month | Listing |
| Team & Advisors | 420M | 20.0% | 6 + 30 months | Long-term motivation |
| Community | 210.75M | 10.0% | 0 + 60 months | User rewards |
| Treasury | 210.75M | 10.0% | 0 + 36 months | Operational reserve |
| Marketing & Incentives | 400M | 19.0% | 0 + 36 months | Club and fan acquisition |
| Liquidity Pools | 273.5M | 13.0% | 0 + 36 months | DEX liquidity |
| Total | 2,100M | ~100% |
Percentages rounded individually; totals may not sum to exactly 100%.
Key decision — Marketing & Incentives (19%) as the largest operational category. These tokens go toward acquiring clubs and incentivizing fans. Linear unlock over 36 months provides predictable market pressure: ~11.1M tokens/month.
Sell pressure from investors is modeled through an instant sell probability parameter — 50% of each unlock. This is a conservative estimate: half of investors sell upon unlock.
Club Tiers and Fan Funnel
Clubs are divided into four tiers by audience size. Each tier has its own acquisition cost and expected return:
| Parameter | Tier 1 | Tier 2 | Tier 3 | Tier 4 |
|---|---|---|---|---|
| Club audience | 1,000,000 | 100,000 | 25,000 | 5,000 |
| Max count | 3 | 7 | 8 | 10 |
| Acquisition cost (fiat) | $5,000 | $2,500 | $1,500 | $1,000 |
| Acquisition cost (tokens) | 100,000 | 50,000 | 25,000 | 10,000 |
| FTO probability | 25% | 20% | 15% | 10% |
Fan conversion funnel — two stages:
- Registered — new registered users (computed)
- 0.3_% — conversion from followers to registered users
- Active — users who entered the native token ecosystem (computed)
- 2.5_% — conversion from registered to active users
Monthly churn: 10%. For a Tier 1 club with 1M audience: ~3,000 new registrations/month → ~75 new native token users. Over a year — about 900 unique ecosystem users from a single large club (75 × 12), or ~540 MAU accounting for 10% monthly churn.
Model: Token Flows and Stabilization Mechanisms
Per-fan token economics:
- Month 1: rewards 50 tokens, spending 100 tokens
- Months 2–6: rewards 250 tokens/month, spending 150 tokens/month
- Month 7+: rewards 250 tokens/month, spending 400 tokens/month
- Net balance is negative: the fan spends more than they receive (computed)
Fans spend tokens on club fan tokens, NFTs, and exclusive content access. Rewards come from activity, voting participation, and referrals. A negative fan balance is good for the token: every active user creates net demand, purchasing tokens on the market.
Three Price Stabilization Mechanisms
Price management mechanisms
Fan Token Market as Demand Driver
The primary source of structural demand is the Fan Token Offering (FTO): clubs issue their fan tokens through the platform’s launchpad, and purchase is available only with the native token.
FTO parameters by tier:
| Parameter | Tier 1 | Tier 2 | Tier 3 | Tier 4 |
|---|---|---|---|---|
| Fan token supply | 50M | 10M | 2.5M | 1M |
| Offering price | $1 | $1 | $1 | $1 |
| Volume raised (via platform) | $5M | $1M | $250K | $100K |
| Guarantee to club | $2.5M | $500K | $150K | $50K |
Volume raised refers to the public sale portion of the FTO (typically 10% of fan token supply); the remainder is allocated to club treasury, liquidity, and vesting.
Platform commission: 80% of the amount above the guarantee. If a Tier 1 club raises $4M through FTO with a $2.5M guarantee — the platform receives 80% × ($4M − $2.5M) = $1.2M.
Trading fees from fan tokens are an additional revenue source: 0.8% of volume for native token pairs.
Platform Unit Economics Calculator
How to Use
- Set the number of clubs per tier (from largest Tier 1 to smallest Tier 4)
- Adjust the conversion rate from club audiences to active ecosystem users
- Set the current token price for USDT cost conversion
- The calculator shows MAU, net token pressure, and user acquisition cost
- Details show the full funnel: audience → registration → ecosystem, plus token balance and acquisition costs
Calculator formulas
- MAU — monthly active ecosystem users (computed)
- Ecosystem_users — new ecosystem users per month (computed)
- Churn_rate — monthly user churn (10%, fixed model parameter)
- Clubs_tier_i — number of clubs in tier i
- Fanbase_i — average fanbase size for tier i (1M / 100K / 25K / 5K)
- Registration_rate — share of fanbase registering on the platform (0.3%, fixed parameter)
- Conversion — conversion from registered to active ecosystem users
- Net_sell_pressure — net monthly sell pressure; positive = inflationary, negative = deflationary (computed)
- Unlock_pressure — investor unlock pressure: ~33,075,000 × 50% sell probability (weighted average across vesting schedules; actual monthly unlock varies from ~28M in month 1 to ~71M in months 7–9)
- Rewards — fan rewards: Ecosystem_users × 250 tokens/user (computed)
- Demand — fan demand: Ecosystem_users × 400 tokens/user (computed)
- Burn — 25% fee burn: Ecosystem_users × 400 × 25% (computed)
- CAC — cost to acquire one ecosystem user (computed)
- Fiat_costs — fiat acquisition costs across all tiers ($/month)
- Token_costs — token acquisition costs across all tiers (tokens/month)
- Price — current token price (USDT)
- Ecosystem_users — new ecosystem users per month (computed)
Quantitative Analysis: Three Scenarios
The model is calculated over a 48-month horizon. Key metric: treasury balance (runway) and net token market pressure.
| Parameter | Pessimistic | Base | Optimistic |
|---|---|---|---|
| Clubs over 4 years | 10 | 28 | 50+ |
| Tier distribution | 0/1/3/6 | 3/7/8/10 | 5/12/15/18+ |
| Ecosystem MAU (year 2) | ~800 | ~5,000 | ~15,000 |
| Treasury EOP year 2 | −$36,000 | +$22,000 | +$174,000 |
| Runway (months) | 18 | 48+ | 48+ |
| Target price year 2 | $0.08 | $0.15 | $0.21 |
The market pricing model uses a simplified Uniswap v2 formula (target prices in the scenario table are exogenous assumptions of the model; the formula below illustrates the pricing mechanism, not a direct derivation of targets):
- P — native token price in USDT (computed)
- X — USDT in the liquidity pool
- Y — native tokens in the pool
- Initial pool: 300,000 USDT / 3,000,000 tokens = $0.10
Net price pressure is composed of inflows (fan purchases, buyback, speculative demand) and outflows (investor unlocks, reward token sales). In the base scenario, the platform reaches positive treasury balance by month 36 — the point where FTO revenue and trading fees cover operational expenses.