2nd/10_Wiki/Topics/Domain_Programming/AI_and_ML/Monetization (BM).md

id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack

id	title	category	status	canonical_id	aliases	duplicate_of	source_trust_level	confidence_score	verification_status	tags	raw_sources	last_reinforced	github_commit	tech_stack
wiki-2026-0508-monetization-bm	Monetization (BM)	10_Wiki/Topics	verified	self	Business Model BM Revenue Model 수익 모델	none	A	0.9	applied	business-model monetization saas freemium marketplace		2026-05-10	pending	language framework none none

Monetization (BM)

매 한 줄

비즈니스 모델(BM)은 누구에게(고객 세그먼트) - 무엇을(가치 제안) - 어떻게(전달·과금) 돈을 받느냐를 정의하며, 2026 디지털 BM은 SaaS 구독·F2P IAP·광고·B2B 라이선스·마켓플레이스 fee 5종 + AI usage-based가 표준이다.

매 핵심

1. SaaS 구독 (Subscription)

• 월/연 결제, MRR/ARR이 핵심 metric.
• Tier 구조: Free → Pro → Team → Enterprise.
• per-seat vs per-usage vs flat.
• 경제: CAC < LTV / 3, Net Revenue Retention 110%+, churn < 2%/월.
• 예: Notion, Figma, Slack, Linear.

2. F2P + IAP (Free-to-Play, In-App Purchase)

• 무료 진입 + 인앱 결제.
• Hard currency (gem) + soft currency (coin) dual-economy.
• Battle Pass (2024+ 표준), cosmetic, energy refill, gacha.
• ARPDAU $0.10-1.00, paying user 비율 1-5%, ARPPU $20-100.
• 예: Royal Match, Monopoly GO, Fortnite, Genshin Impact.

3. 광고 (Ads)

• CPM (impression), CPC (click), CPA (action), rewarded video.
• DAU 큰 무료 앱·콘텐츠에 적합.
• eCPM US 기준 $5-30 (장르/지역별).
• 예: 무료 모바일 게임, YouTube, news.

4. B2B 라이선스 / 계약

• Annual contract, sales team-led, ACV $10K-$1M+.
• Land-and-expand, MSA + SOW, procurement.
• 예: Salesforce, Snowflake, Databricks.

5. 마켓플레이스 / Take-rate

• 플랫폼 fee 5-30%.
• 양면 시장: supplier + buyer 모두 확보.
• 예: Airbnb 14%, Uber 25%, Etsy 6.5%, App Store 15-30%.

6. AI Usage-based (2026 신규 표준)

• Token / API call 단위 과금: $X / 1M token.
• Compute-second: GPU 임대.
• Outcome-based: 결과당 과금 (resolved ticket, generated image).
• 예: OpenAI API, Anthropic, Replicate, Vercel AI.

7. 하이브리드

• Spotify: 광고 + 구독.
• LinkedIn: 광고 + 구독 + B2B 라이선스.
• 게임: 구매(B2P) + 시즌 패스 + cosmetic IAP.

8. 핵심 metric

• CAC (customer acquisition cost), LTV (lifetime value), Payback period.
• MRR/ARR, NRR (net revenue retention), GRR (gross retention).
• DAU/MAU, ARPDAU, ARPPU, paying conversion.
• Take rate, GMV (마켓플레이스).

💻 패턴

// 1. SaaS pricing config
const PLANS = {
  free:  { price: 0,  seats: 1,  usage_limit: 1000 },
  pro:   { price: 19, seats: 1,  usage_limit: 50_000 },
  team:  { price: 49, per_seat: true, usage_limit: 500_000 },
  enterprise: { price: "contact", custom: true },
};

# 2. LTV / CAC
def ltv(arpu_monthly, gross_margin, churn_monthly):
    return arpu_monthly * gross_margin / churn_monthly
def payback_months(cac, arpu, gross_margin):
    return cac / (arpu * gross_margin)
print(ltv(50, 0.8, 0.03))  # $1333

-- 3. MRR
SELECT date_trunc('month', invoice_date) AS m, SUM(amount) AS mrr
FROM invoices WHERE status='paid' GROUP BY 1 ORDER BY 1;

// 4. Stripe subscription (SaaS)
import Stripe from "stripe";
const s = new Stripe(process.env.STRIPE_KEY!);
await s.subscriptions.create({
  customer: "cus_xxx",
  items: [{ price: "price_pro_monthly_19" }],
  trial_period_days: 14,
});

// 5. Usage-based metering
async function recordUsage(customerId: string, tokens: number) {
  await s.subscriptionItems.createUsageRecord(itemId, {
    quantity: tokens, timestamp: "now", action: "increment",
  });
}

# 6. F2P ARPDAU
def arpdau(revenue_day, dau): return revenue_day / dau
def arppu(revenue_day, paying_users): return revenue_day / paying_users

// 7. Battle Pass tier
const BP = Array.from({length: 50}, (_, i) => ({
  level: i+1,
  free: i % 5 === 0 ? { coins: 1000 } : null,
  premium: { gems: 50 + i*10 },
}));

# 8. Marketplace take rate
def platform_revenue(gmv, take_rate=0.15): return gmv * take_rate

# 9. Cohort retention
import pandas as pd
def cohort(df):
    df["cohort_m"] = df.signup_date.dt.to_period("M")
    df["months_since"] = (df.event_date - df.signup_date).dt.days // 30
    return df.pivot_table(index="cohort_m", columns="months_since",
                          values="user_id", aggfunc="nunique")

# 10. AI API usage pricing (Anthropic-style)
pricing:
  claude-opus:
    input_per_mtok: 15.00
    output_per_mtok: 75.00
    cache_read_per_mtok: 1.50  # 90% discount

매 결정 기준

상황	추천 BM
B2B SaaS productivity	per-seat 구독 + Free trial
AI / API 제품	Usage-based (token/call) + Tier
모바일 캐주얼 게임	F2P + IAP + Ads
콘텐츠/미디어	광고 + premium 구독
양면 시장	Take-rate (5-15%)
엔터프라이즈 인프라	Annual contract + sales
단일 가치 도구	One-time purchase
커뮤니티/개발자	Open-core + paid hosting

🔗 Graph

• 부모: Business Strategy
• Adjacent: Monopoly GO! 및 Royal Match의 라이브 이벤트 구조

🤖 LLM 활용

• "이 제품에 적합한 BM 3가지 제안 + 각 LTV/CAC 가정" — 빠른 비교.
• 가격 페이지 카피 생성, A/B 테스트 variant.
• competitor pricing scrape 후 LLM으로 포지셔닝 분석.

❌ 안티패턴

• Free tier 너무 관대: paid 전환 0%.
• 너무 복잡한 tier: 결정 마비, 전환율 ↓.
• Pay-to-win 노골 (게임): 평점 폭락, churn.
• Take rate 30%+ (마켓플레이스): supplier 이탈.
• Hidden fee: 신뢰 파괴, refund 폭증.
• CAC > LTV로 성장: 적자 확장, runway 소모.

🧪 검증 / 중복

• 검증: a16z SaaS metrics, Sequoia, Lenny's Newsletter.
• 중복: Pricing Strategy (specific) — 본 문서는 BM 카탈로그.

🕓 Changelog

• 2026-05-10: 신규 작성. SaaS/F2P/Ads/B2B/Marketplace/AI usage 6종 + metric + 결정 기준.