market-research-analysis by manojbajaj95/claude-gtm-plugin
npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill market-research-analysis专业的市场研究技能——涵盖市场规模测算、竞争分析、消费者研究,并能生成采用 LaTeX 格式和可视化图表的专业咨询级报告。
选择您的工作流程:
TAM = 100% 市场份额下的总市场需求
= (总潜在客户基数) × (平均合同价值)
数据来源:Gartner, Forrester, IBISWorld, 政府统计数据, 行业协会
SAM = 您实际能够服务的 TAM 部分
应用筛选条件:地理限制、产品限制、客户规模限制
通常占 TAM 的 5-20%
SOM = 现实的近期市场份额(1-3 年)
保守基准:
第 1 年:SAM 的 0.1-0.5%
第 2 年:SAM 的 0.5-2%
第 3 年:SAM 的 1-5%
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
自下而上法 = (现实的目标客户数量) × (转化率) × (年度合同价值)
如果 自上而下法 SOM / 自下而上法 > 3 倍 → 重新审视自上而下法的假设
| 类型 | 定义 | 示例 |
|---|---|---|
| 直接 | 相同产品,相同客户 | Asana vs Monday.com |
| 间接 | 不同产品,解决相同问题 | Asana vs Excel |
| 替代品 | 满足需求的替代方式 | Asana vs 咨询顾问 |
| 潜在 | 可以轻易进入市场 | Microsoft, Google |
创建一个二维矩阵:
标绘所有竞争对手。寻找空白点 — 未服务或服务不足的象限 = 市场机会。
| 维度 | 关键问题 |
|---|---|
| 政治 | 监管环境、贸易政策 |
| 经济 | 增长率、通货膨胀、货币风险 |
| 社会 | 人口统计、消费者行为转变 |
| 技术 | 颠覆性技术、研发活动 |
| 法律 | 合规要求、知识产权格局 |
| 环境 | 可持续性趋势、法规 |
用于竞争格局分析:在 BCG 矩阵(市场增长率 vs 市场份额)上标绘竞争对手,以识别明星业务、现金牛业务、问题业务和瘦狗业务。
范·韦斯滕多普定价法: 向客户提出 4 个问题以找到最优价格点:
绘制累积百分比图 — OPP(最优价格点)= “太贵”和“太便宜”曲线的交点。
反面模式: 切勿使用引导性问题(“您不觉得我们创新的产品……”)。始终包含负面回答选项。
用于定性研究:
生成咨询级报告(50 页以上),模仿 McKinsey、BCG、Gartner 的交付成果。
前页部分(约 5 页): 封面 · 目录 · 执行摘要(投资论点、关键发现、前 5 项建议)
核心分析部分(约 35 页):
| 章节 | 页数 | 关键框架 |
|---|---|---|
| 市场概述与定义 | 4-5 | 行业结构 |
| 市场规模与增长 | 6-8 | TAM/SAM/SOM、区域细分 |
| 行业驱动因素与趋势 | 5-6 | PESTLE、驱动因素影响矩阵 |
| 竞争格局 | 6-8 | 波特五力模型、定位矩阵 |
| 客户分析 | 4-5 | 细分、客户旅程 |
| 技术与创新 | 4-5 | 技术路线图、采用曲线 |
| 法规与政策 | 3-4 | 监管时间线 |
| 风险分析 | 3-4 | 风险热图、缓解矩阵 |
战略建议部分(约 10 页): 机会矩阵 · 实施路线图 · 投资论点
附录部分(约 5 页): 方法论 · 数据表 · 公司简介 · 参考文献
# 批量生成所有核心可视化图表
python scripts/generate_market_visuals.py \
--topic "[市场名称]" --output-dir figures/
| 优先级 | 图表 | 工具 |
|---|---|---|
| 1 | 市场增长轨迹 | scientific-schematics |
| 2 | TAM/SAM/SOM 同心圆 | scientific-schematics |
| 3 | 波特五力模型 | scientific-schematics |
| 4 | 竞争定位矩阵(2×2) | scientific-schematics |
| 5 | 风险热图 | scientific-schematics |
| 6 | 执行摘要信息图 | generate-image |
# 初始化项目结构
writing_outputs/YYYYMMDD_HHMMSS_market_report_[主题]/
├── drafts/v1_market_report.tex ← 使用 assets/market_report_template.tex 作为基础
├── figures/
├── references/references.bib
└── final/
# 编译
cd drafts/
xelatex v1_market_report.tex && bibtex v1_market_report
xelatex v1_market_report.tex && xelatex v1_market_report.tex
使用 \usepackage{market_research}(来自 assets/market_research.sty)。
彩色框环境:
\begin{keyinsightbox}[关键发现]...\end{keyinsightbox} % 蓝色
\begin{marketdatabox}[市场快照]...\end{marketdatabox} % 绿色
\begin{riskbox}[关键风险]...\end{riskbox} % 橙色
\begin{recommendationbox}[建议]...\end{recommendationbox} % 紫色
完整 LaTeX 参考请见 assets/FORMATTING_GUIDE.md。完整报告模板请见 assets/market_report_template.tex。
scripts/generate_market_visuals.py — 报告批量图表生成脚本assets/market_research.sty — LaTeX 样式包assets/market_report_template.tex — 完整报告模板assets/FORMATTING_GUIDE.md — 完整 LaTeX 格式参考references/report_structure_guide.md — 详细的逐章节指导references/data_analysis_patterns.md — 分析模式和常见计算references/visual_generation_guide.md — 图表创建工作流程product-strategy-and-marketing — 产品战略中的市场机会go-to-market-strategy — 将市场研究应用于上市规划pricing-strategy — 利用市场研究进行定价决策每周安装量
138
代码仓库
GitHub 星标数
16
首次出现
13 天前
安全审计
安装于
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Expert market research skill — from market sizing and competitive analysis through consumer research and professional consulting-grade reports with LaTeX formatting and visual generation.
Choose your workflow:
TAM = Total market demand at 100% market share
= (Total potential customer base) × (avg contract value)
Data sources: Gartner, Forrester, IBISWorld, government statistics, trade associations
SAM = Portion of TAM you can realistically serve
Apply filters: geographic constraints, product limitations, customer size constraints
Typically 5-20% of TAM
SOM = Realistic near-term market share (1-3 years)
Conservative benchmarks:
Year 1: 0.1-0.5% of SAM
Year 2: 0.5-2% of SAM
Year 3: 1-5% of SAM
Bottom-up = (realistic target customers) × (conversion rate) × (ACV)
If top-down SOM / bottom-up > 3x → revisit top-down assumptions
| Type | Definition | Example |
|---|---|---|
| Direct | Same product, same customer | Asana vs Monday.com |
| Indirect | Different product, same problem | Asana vs Excel |
| Substitute | Alternative way to address need | Asana vs consultants |
| Potential | Could enter market easily | Microsoft, Google |
Create a 2D matrix:
Plot all competitors. Look for gaps — unserved or underserved quadrants = market opportunity.
| Dimension | Key Questions |
|---|---|
| Political | Regulatory environment, trade policies |
| Economic | Growth rates, inflation, currency risks |
| Social | Demographics, consumer behavior shifts |
| Technological | Disruptive technologies, R&D activity |
| Legal | Compliance requirements, IP landscape |
| Environmental | Sustainability trends, regulations |
For competitive landscape: map competitors on BCG Matrix (market growth vs market share) to identify Stars, Cash Cows, Question Marks, Dogs.
Van Westendorp Pricing: Ask customers 4 questions to find optimal price point:
Plot cumulative % — OPP (Optimal Price Point) = intersection of "too expensive" and "too cheap."
Anti-pattern: Never use leading questions ("Don't you think our innovative product..."). Always include negative response options.
For qualitative research:
Generates consulting-grade reports (50+ pages) modeled on McKinsey, BCG, Gartner deliverables.
Front Matter (~5 pages): Cover page · Table of Contents · Executive Summary (investment thesis, key findings, top 5 recommendations)
Core Analysis (~35 pages):
| Chapter | Pages | Key Frameworks |
|---|---|---|
| Market Overview & Definition | 4-5 | Industry structure |
| Market Size & Growth | 6-8 | TAM/SAM/SOM, regional breakdown |
| Industry Drivers & Trends | 5-6 | PESTLE, driver impact matrix |
| Competitive Landscape | 6-8 | Porter's Five Forces, positioning matrix |
| Customer Analysis | 4-5 | Segmentation, customer journey |
| Technology & Innovation | 4-5 | Technology roadmap, adoption curve |
| Regulatory & Policy | 3-4 | Regulatory timeline |
| Risk Analysis | 3-4 | Risk heatmap, mitigation matrix |
Strategic Recommendations (~10 pages): Opportunity matrix · Implementation roadmap · Investment thesis
Back Matter (~5 pages): Methodology · Data tables · Company profiles · Bibliography
# Batch generate all core visuals
python scripts/generate_market_visuals.py \
--topic "[MARKET NAME]" --output-dir figures/
| Priority | Visual | Tool |
|---|---|---|
| 1 | Market growth trajectory | scientific-schematics |
| 2 | TAM/SAM/SOM concentric circles | scientific-schematics |
| 3 | Porter's Five Forces | scientific-schematics |
| 4 | Competitive positioning matrix (2×2) | scientific-schematics |
| 5 | Risk heatmap | scientific-schematics |
| 6 | Executive summary infographic | generate-image |
# Initialize project structure
writing_outputs/YYYYMMDD_HHMMSS_market_report_[topic]/
├── drafts/v1_market_report.tex ← use assets/market_report_template.tex as base
├── figures/
├── references/references.bib
└── final/
# Compile
cd drafts/
xelatex v1_market_report.tex && bibtex v1_market_report
xelatex v1_market_report.tex && xelatex v1_market_report.tex
Use \usepackage{market_research} (from assets/market_research.sty).
Colored box environments:
\begin{keyinsightbox}[Key Finding]...\end{keyinsightbox} % blue
\begin{marketdatabox}[Market Snapshot]...\end{marketdatabox} % green
\begin{riskbox}[Critical Risk]...\end{riskbox} % orange
\begin{recommendationbox}[Recommendation]...\end{recommendationbox} % purple
See assets/FORMATTING_GUIDE.md for complete LaTeX reference. See assets/market_report_template.tex for the full report template.
scripts/generate_market_visuals.py — Batch visual generation for reportsassets/market_research.sty — LaTeX style packageassets/market_report_template.tex — Full report templateassets/FORMATTING_GUIDE.md — Complete LaTeX formatting referencereferences/report_structure_guide.md — Detailed chapter-by-chapter guidancereferences/data_analysis_patterns.md — Analysis patterns and common calculationsreferences/visual_generation_guide.md — Visual creation workflowsproduct-strategy-and-marketing — Market opportunity within product strategygo-to-market-strategy — Applying market research to launch planningpricing-strategy — Using market research for pricing decisionsWeekly Installs
138
Repository
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First Seen
13 days ago
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