Unit economics analysis for China-focused portfolio companies. Adapted from the original unit-economics skill for Chinese business models, pricing, and market dynamics. Triggers on "A股单位经济模型", "单元经济模型", "unit economics China", "unit economics [company]", "LTV/CAC China", or "Cohort analysis [company]".
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Analyze A股及中国市场单元经济模型 — per-unit economics, customer economics, and cohort analysis for portfolio companies.
| Metric | Formula | Target |
|---|---|---|
| LTV (Customer Lifetime Value) | ARPU × Lifetime × Gross Margin | >3x CAC |
| CAC (Customer Acquisition Cost) | Sales & Marketing / New Customers | <12-month payback |
| LTV/CAC | LTV / CAC | >3.0x |
| CAC Payback (months) | CAC / (ARPU × Gross Margin %) | <12 months |
| NRR (Net Revenue Retention) | (Start + Expansion - Churn) / Start | >100% |
| GRR (Gross Revenue Retention) | (Start - Churn) / Start | >85% |
| ARR | Annual Recurring Revenue | Growing |
| Churn Rate | Lost customers / Total | <5% monthly |
| Metric | Description | China Context |
|---|---|---|
| 获客成本 | CAC in Chinese context | 线上投放 + 线下渠道 |
| 用户生命周期价值 | LTV for Chinese consumers | Higher for tier-1 |
| 复购率 | Repeat purchase rate | Critical for DTC brands |
| 客单价 | Average order value | 价格敏感 market |
| 渠道成本 | Channel economics | 经销商 vs DTC |
| 补贴依赖 | Subsidy / discount dependence | Common in China |
# For public companies, extract proxies
get_financials(ticker, "income") → Revenue, opex
get_financials(ticker, "balance") → Customer-related assets
get_financials(ticker, "cashflow") → Cash flow
Business model identification:
| Business Model | Unit Definition | Revenue Model |
|---|---|---|
| 消费品 | 每单 / 每用户 | Transaction |
| SaaS | 每客户 (年) | Subscription |
| 电商 | 每订单 / 每用户 | Transaction |
| 制造业 | 每件 / 每吨 | Unit sales |
| 平台 | 每GMV / 每交易 | Take rate |
| 广告 | 每曝光 / 每点击 | CPM / CPC |
Standard model:
# Unit economics calculation
Unit_Price = XX元
Unit_Cost = XX元 (COGS)
Unit_Contribution = Unit_Price - Unit_Cost
# Customer economics (for subscription/DTC)
CAC = XX元 (acquisition cost per customer)
ARPU = XX元/年 (average revenue per user)
Gross_Margin = XX%
Customer_Lifetime = X年 (or 1/churn rate)
LTV = ARPU × Lifetime × Gross_Margin
LTV_CAC = LTV / CAC
Payback_Months = CAC / (ARPU × Gross_Margin / 12)
Cohort table (retention):
| Cohort | Month 0 | Month 1 | Month 2 | Month 3 | Month 6 | Month 12 |
|---|---|---|---|---|---|---|
| Jan | 100% | XX% | XX% | XX% | XX% | XX% |
| Feb | 100% | XX% | XX% | XX% | XX% | XX% |
| Mar | 100% | XX% | XX% | XX% | XX% | XX% |
Cohort revenue:
| Cohort | Month 0 | Month 1 | Month 2 | Month 3 | Month 6 | Month 12 |
|---|---|---|---|---|---|---|
| Jan | ¥X | ¥X | ¥X | ¥X | ¥X | ¥X |
| Feb | ¥X | ¥X | ¥X | ¥X | ¥X | ¥X |
China-specific benchmarks by industry:
| Industry | CAC Payback | LTV/CAC | Typical ARPU |
|---|---|---|---|
| 消费品牌 | 6-12 months | 3-5x | ¥200-500 |
| SaaS (ToB) | 12-18 months | 3-5x | ¥5,000-50,000 |
| 电商 | 1-3 months | 2-4x | ¥100-300 |
| 游戏 | 1-2 months | 4-10x | ¥50-200 |
| 在线教育 | 3-6 months | 2-4x | ¥1,000-5,000 |
| 金融科技 | 6-12 months | 3-5x | ¥500-2,000 |
Key sensitivities:
| Variable | -20% | -10% | Base | +10% | +20% |
|---|---|---|---|---|---|
| ARPU | |||||
| Gross margin | |||||
| Customer lifetime | |||||
| CAC |
Based on unit economics:
| LTV/CAC | Assessment | Recommendation |
|---|---|---|
| >5x | Excellent | Scale aggressively |
| 3-5x | Good | Scale with monitoring |
| 2-3x | Acceptable | Optimize CAC/margin |
| 1-2x | Poor | Fix model before scaling |
| <1x | Broken | Fundamental rethink |
| Channel | CAC | Quality | Notes |
|---|---|---|---|
| 线上投放 (Online ads) | Medium | Variable | 抖音, 小红书, 百度 |
| 社交裂变 (Social referral) | Low | Medium | 拼多多 model |
| 经销商 (Distribution) | Low | Depends | 渠道下沉 |
| 线下门店 (Offline stores) | High | High | Premium experience |
| 直播带货 (Livestream) | Medium | Variable | 抖音, 淘宝直播 |
| 私域运营 (Private traffic) | Low | High | WeChat ecosystem |
| Behavior | Impact on Unit Economics |
|---|---|
| 价格敏感 | Lower ARPU, higher churn on price increases |
| 社交驱动 | Viral referral reduces CAC |
| 品牌忠诚度 | Higher LTV for established brands |
| 渠道偏好 | Multi-channel complexity |
| 促销依赖 | Revenue quality concerns |
Key metrics for China e-commerce:
| Metric | Formula | Benchmark |
|---|---|---|
| GMV | Gross merchandise value | Top-line |
| Take rate | Revenue / GMV | 3-10% |
| Customer acquisition | CAC / order | ¥20-200 |
| Return rate | Returns / orders | 5-20% (sector varies) |
| AOV | Revenue / orders | ¥50-500 |
| Fulfillment cost | Logistics / order | ¥5-30 |
Before delivering:
Data Source Mode Switch: Set env var
IFIND_DATA_SOURCE_MODEto control data source preference.
ifind-only(strict): Use iFind only, error if unavailableifind-fallback(default): iFind preferred, fallback to AkShareakshare-only, wind-only (Wind only), wind-fallback (Wind first, fallback to iFind → AkShare): Skip iFind, use AkShare only
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
日本語の概要は準備中です。原文の説明を表示しています。
Build accrual schedules for A-share companies tracking revenue recognition, expense accruals, and working capital timing. Adapted from the original accrual-schedule skill for CAS accounting and Chinese business practices. Triggers on "A股应计项目", "应计计提", "accrual schedule China", "应计账款分析", or "working capital accruals [company]".
日本語の概要は準備中です。原文の説明を表示しています。
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
日本語の概要は準備中です。原文の説明を表示しています。
Assess an A-share portfolio company's AI readiness for China-focused private equity investments. Evaluates data infrastructure, technology stack, talent, and AI adoption opportunities in the Chinese market context. Triggers on "A股公司AI评估", "AI readiness China", "AI assessment portfolio company", "AI转型评估", or "artificial intelligence readiness [company]".
日本語の概要は準備中です。原文の説明を表示しています。
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
日本語の概要は準備中です。原文の説明を表示しています。
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
日本語の概要は準備中です。原文の説明を表示しています。