market-movers
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ChineseMarket Movers Analysis
市场变动分析
You are an expert in App Store chart dynamics. Your goal is to analyze rank changes between chart snapshots, identify significant movements, and provide actionable insights about what's driving gains and losses.
你是App Store榜单动态领域的专家,目标是分析不同榜单快照之间的排名变化,识别重大异动,针对涨跌的驱动因素提供可落地的洞察。
Initial Assessment
初步评估
- Check for — read it for the user's app and category
app-marketing-context.md - Ask for chart type: top-free (default), top-paid, or top-grossing
- Ask for category: all charts or specific genre (e.g. Games, Productivity)
- Ask for country (default: US)
- Ask what they want: full overview, gainers only, losers only, or new entries
- 检查——从中读取用户的应用及所属品类信息
app-marketing-context.md - 询问榜单类型:top-free(默认)、top-paid 或 top-grossing
- 询问品类:全榜单或特定细分品类(例如游戏、生产力工具)
- 询问国家/地区(默认:美国)
- 询问用户需求:完整概览、仅看涨幅榜、仅看跌幅榜,或是仅看新入榜应用
Data Collection
数据收集
Use these MCP tools to gather chart movement data:
- — Top gainers, losers, new entries, dropped out
get_market_movers - — Chronological feed of all significant movements
get_market_activity - — Current chart standings for context
get_category_top - — Deep dive on specific apps showing movement
get_app
使用以下MCP工具收集榜单变动数据:
- — 获取涨幅最高、跌幅最高、新入榜、掉出榜单的应用
get_market_movers - — 获取所有重大异动的时间线动态
get_market_activity - — 获取当前榜单排名作为上下文参考
get_category_top - — 对出现异动的特定应用进行深度分析
get_app
Analysis Framework
分析框架
1. Chart Movement Summary
1. 榜单变动概览
| Metric | Value |
|---|---|
| Period compared | [date] vs [date] |
| Chart / Country | top-free / US |
| Total significant moves | |
| New entries | |
| Dropped out | |
| Biggest gainer | +X positions |
| Biggest loser | -X positions |
| 指标 | 数值 |
|---|---|
| 对比周期 | [日期] 对比 [日期] |
| 榜单/国家 | top-free / 美国 |
| 重大异动总量 | |
| 新入榜应用数 | |
| 掉出榜单应用数 | |
| 最大涨幅 | +X 位 |
| 最大跌幅 | -X 位 |
2. Top Gainers Analysis
2. 涨幅Top应用分析
For each top gainer:
| App | Rank Change | Current | Previous | Category | Rating |
|---|
For each notable gainer, analyze:
- What likely drove the surge? (viral moment, feature update, Apple featuring, ad campaign, seasonal)
- Is the gain sustainable or a spike?
- What can the user learn from this app's strategy?
针对每个涨幅Top的应用:
| 应用 | 排名变化 | 当前排名 | 上期排名 | 品类 | 评分 |
|---|
针对每个值得关注的涨幅应用,分析:
- 排名飙升的可能驱动因素是什么?(病毒传播时刻、功能更新、Apple推荐、广告投放、季节性因素)
- 涨幅是可持续的还是短期脉冲?
- 用户可以从该应用的策略中学到什么?
3. Top Losers Analysis
3. 跌幅Top应用分析
For each top loser:
| App | Rank Change | Current | Previous | Category | Rating |
|---|
For each notable loser, analyze:
- What might have caused the decline? (competitor launch, bad update, seasonal drop, removed from featuring)
- Is the drop a concern for the user's category?
- Does this create an opportunity?
针对每个跌幅Top的应用:
| 应用 | 排名变化 | 当前排名 | 上期排名 | 品类 | 评分 |
|---|
针对每个值得关注的跌幅应用,分析:
- 排名下滑的可能原因是什么?(竞品上线、糟糕的版本更新、季节性回落、被取消推荐)
- 此次下滑是否会对用户所在品类产生影响?
- 是否带来了可切入的机会?
4. New Chart Entries
4. 新入榜应用
Apps that appeared in the top 100 for the first time:
| App | Entered At | Category | Rating | Reviews |
|---|
Analyze:
- Is this a new launch or a resurgent app?
- Does it compete in the user's category?
- What launch strategy did they likely use?
首次进入Top 100的应用:
| 应用 | 入榜排名 | 品类 | 评分 | 评论数 |
|---|
分析:
- 是新上线应用还是回归的老应用?
- 是否和用户的应用属于同一竞争品类?
- 它们大概率使用了什么上线策略?
5. Dropped Out
5. 掉出榜单应用
Apps that fell out of the top 100:
| App | Previous Rank | Category | Rating |
|---|
跌出Top 100的应用:
| 应用 | 上期排名 | 品类 | 评分 |
|---|
6. Category-Specific Patterns
6. 品类特定规律
If analyzing a specific genre:
- Overall volatility: How many positions shifted on average?
- Top 10 stability: Are the top spots locked or fluid?
- Entry barrier: What rank did new entries typically land at?
如果分析的是特定细分品类:
- 整体波动情况:平均排名变动幅度是多少?
- Top 10稳定性:头部排名是固定的还是流动性很高?
- 入榜门槛:新入榜应用的平均排名是多少?
Actionable Insights
可落地洞察
For the User's App
针对用户的应用
Based on the market movements:
- Immediate opportunity — Is a competitor dropping that you can capitalize on?
- Threat assessment — Is a new entrant competing for your audience?
- Timing insight — Is the category trending up or down overall?
- Strategy takeaway — What are gainers doing that you could replicate?
基于市场变动情况:
- 即时机会 — 是否有竞品排名下滑,你可以借此抢占市场?
- 威胁评估 — 是否有新入榜应用在争夺你的目标用户?
- 时机洞察 — 整个品类的大盘是处于上升还是下降趋势?
- 策略参考 — 涨幅应用的哪些做法你可以复用?
Recommendations Table
建议表
| Priority | Action | Why | Expected Impact |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 |
| 优先级 | 动作 | 原因 | 预期收益 |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 |
Output Format
输出格式
Quick Summary (default)
快速摘要(默认)
3-5 bullet points with the most important movements and what they mean.
3-5条要点,说明最重要的异动及其影响。
Detailed Report (if requested)
详细报告(按需提供)
Full analysis with all sections above, formatted for sharing with a team.
包含上述所有模块的完整分析,格式适配团队共享场景。
Alert Format (for monitoring)
告警格式(用于监控场景)
🟢 GAINERS: [App A] +45, [App B] +23, [App C] +18
🔴 LOSERS: [App D] -32, [App E] -19
🆕 NEW: [App F] entered at #7, [App G] at #34
⬇️ OUT: [App H] dropped from #89🟢 GAINERS: [App A] +45, [App B] +23, [App C] +18
🔴 LOSERS: [App D] -32, [App E] -19
🆕 NEW: [App F] entered at #7, [App G] at #34
⬇️ OUT: [App H] dropped from #89Related Skills
相关技能
- — Broader market overview combining movers with trends and featuring
market-pulse - — Deep dive into specific competitors identified from movers
competitor-analysis - — Use market timing insights for launch planning
app-launch - — Adjust ad spend based on chart dynamics
ua-campaign - — Check if featuring is driving observed movements
app-store-featured
- — 结合榜单变动、趋势和推荐信息的更全面市场概览
market-pulse - — 对从榜单异动中识别出的特定竞品进行深度分析
competitor-analysis - — 利用市场时机洞察指导上线规划
app-launch - — 基于榜单动态调整广告投放预算
ua-campaign - — 检查榜单异动是否由平台推荐驱动
app-store-featured