asc-metrics

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

ASC Metrics

ASC 指标

You analyze the user's official App Store Connect data synced into Appeeky — exact downloads, revenue, IAP, subscriptions, and trials. This is first-party data, not estimates.

你分析的是用户同步到 Appeeky 的官方 App Store Connect 数据——准确下载量、收入、IAP、订阅和试用数据。这是第一方数据，并非估算值。

Prerequisites

前置条件

Appeeky account with ASC connected (Settings → Integrations → App Store Connect)
Indie plan or higher (2 credits per request)
Data syncs nightly; up to 90 days of history available

If ASC is not connected, prompt the user to connect it at appeeky.com/settings and return.

Appeeky 账户，且已连接 ASC（Settings → Integrations → App Store Connect）
Indie 计划或更高版本（每次请求消耗 2 credits）
数据每晚同步；可查看最多 90 天的历史记录

如果尚未连接 ASC，则提示用户前往 appeeky.com/settings 完成连接，然后返回。

Initial Assessment

初步评估

Check for
```
app-marketing-context.md
```
— read it for app context
Ask: What do you want to analyze? (downloads, revenue, subscriptions, country breakdown, trend comparison)
Ask: Which time period? (default: last 30 days)
Ask: Specific app or all apps?

检查是否存在
```
app-marketing-context.md
```
——读取该文件以了解应用背景
询问：你想分析什么？（下载量、收入、订阅、国家/地区细分、趋势比较）
询问：选择哪个时间段？（默认：最近 30 天）
询问：分析特定应用还是所有应用？

Fetching Data

获取数据

Step 1 — List available apps

第 1 步——列出可用应用

bash

GET /v1/connect/metrics/apps

Match the user's app to an

app_apple_id

if not already known.

bash

GET /v1/connect/metrics/apps

如果尚不知道用户应用的

app_apple_id

，则将其与对应的 ID 匹配。

Step 2 — Get overview (portfolio)

第 2 步——获取概览（整体数据）

bash

GET /v1/connect/metrics?from=YYYY-MM-DD&to=YYYY-MM-DD

bash

GET /v1/connect/metrics?from=YYYY-MM-DD&to=YYYY-MM-DD

Step 3 — Get app detail (single app)

第 3 步——获取应用详情（单个应用）

bash

GET /v1/connect/metrics/apps/:appId?from=YYYY-MM-DD&to=YYYY-MM-DD

Response includes:

daily[]

countries[]

totals

See full API reference: appeeky-connect.md

bash

GET /v1/connect/metrics/apps/:appId?from=YYYY-MM-DD&to=YYYY-MM-DD

响应包含：

daily[]

、

countries[]

、

totals

。

有关完整 API 参考，请参阅 appeeky-connect.md。

Analysis Frameworks

分析框架

Period-over-Period Comparison

期间对比分析

Fetch two equal-length windows and compare:

Metric	Prior Period	Current Period	Change
Downloads	[N]	[N]	[+/-X%]
Revenue	$[N]	$[N]	[+/-X%]
Subscriptions	[N]	[N]	[+/-X%]
Trials	[N]	[N]	[+/-X%]
Trial → Sub Rate	[X]%	[X]%	[+/-X pp]

What to look for:

Downloads rising but revenue flat → pricing or paywall issue
Trials rising but conversions flat → paywall or onboarding issue
Revenue rising but downloads flat → good monetization improvement

获取两个长度相同的时间窗口并进行比较：

指标	上一时间段	当前时间段	变化幅度
下载量	[N]	[N]	[+/-X%]
收入	$[N]	$[N]	[+/-X%]
订阅量	[N]	[N]	[+/-X%]
试用量	[N]	[N]	[+/-X%]
试用→订阅转化率	[X]%	[X]%	[+/-X pp]

重点观察：

下载量上升但收入持平 → 定价或 paywall 问题
试用量上升但转化率持平 → paywall 或 onboarding 问题
收入上升但下载量持平 → 变现能力有所改善

Daily Trend Analysis

每日趋势分析

From

daily[]

, identify:

Spikes — Did a feature, update, or press trigger them?
Drops — Correlate with app updates, seasonality, or algorithm changes
Trend direction — 7-day moving average vs prior 7 days

从

daily[]

中识别：

峰值——某个功能、更新或媒体报道是否引发了这些峰值？
下降——分析其与应用更新、季节性因素或算法变化的相关性
趋势方向——将 7 日移动平均值与前 7 日进行比较

Country Breakdown

国家/地区细分

Sort

countries[]

by downloads and revenue:

Top 5 by downloads — Are you investing in ASO for these markets?
Top 5 by revenue — Higher ARPD (avg revenue per download) = prioritize ASO
High downloads, low revenue — Markets with weak monetization
Low downloads, high revenue — Under-tapped premium markets (localize)

按下载量和收入对

countries[]

排序：

下载量前 5 名——你是否正在为这些市场投入 ASO？
收入前 5 名——更高的 ARPD（每次下载平均收入）意味着应优先投入 ASO
高下载量、低收入——变现能力较弱的市场
低下载量、高收入——尚未充分开发的高端市场（进行本地化）

Revenue Quality Check

收入质量检查

Compute from the data:

Metric	Formula	Benchmark
ARPD	Revenue / Downloads	> $0.05 good; > $0.20 excellent
Trial rate	Trials / Downloads	> 20% means strong paywall reach
Sub conversion	Subscriptions / Trials	> 25% is strong
Revenue per sub	Revenue / Subscriptions	Depends on pricing

根据数据计算：

指标	计算公式	基准
ARPD	收入 / 下载量	> $0.05 表现良好；> $0.20 表现优秀
试用率	试用量 / 下载量	> 20% 表明 paywall 触达能力强
订阅转化率	订阅量 / 试用量	> 25% 表示转化强劲
每项订阅收入	收入 / 订阅量	取决于定价

Output Format

输出格式

Performance Snapshot

表现概览

📊 [App Name] — [Period]

Downloads:     [N]  ([+/-X%] vs prior period)
Revenue:       $[N] ([+/-X%])
Subscriptions: [N]  ([+/-X%])
Trials:        [N]  ([+/-X%])
IAP Count:     [N]  ([+/-X%])
Trial→Sub:     [X]%

Top Markets (downloads):
  1. [Country] — [N] downloads, $[N]
  2. [Country] — [N] downloads, $[N]
  3. [Country] — [N] downloads, $[N]

Key Observations:
- [What the trend means]
- [Any anomaly and likely cause]
- [Opportunity identified]

Recommended Actions:
1. [Specific action based on data]
2. [Specific action based on data]

📊 [App Name] — [Period]

Downloads:     [N]  ([+/-X%] vs prior period)
Revenue:       $[N] ([+/-X%])
Subscriptions: [N]  ([+/-X%])
Trials:        [N]  ([+/-X%])
IAP Count:     [N]  ([+/-X%])
Trial→Sub:     [X]%

Top Markets (downloads):
  1. [Country] — [N] downloads, $[N]
  2. [Country] — [N] downloads, $[N]
  3. [Country] — [N] downloads, $[N]

Key Observations:
- [What the trend means]
- [Any anomaly and likely cause]
- [Opportunity identified]

Recommended Actions:
1. [Specific action based on data]
2. [Specific action based on data]

Trend Alert

趋势提醒

When a significant change (>20%) is detected, flag it:

⚠️  Downloads dropped [X]% this week
    Possible causes: [list 2-3 hypotheses]
    Next steps: [specific diagnostic actions]

检测到显著变化（>20%）时，进行标记：

⚠️  Downloads dropped [X]% this week
    Possible causes: [list 2-3 hypotheses]
    Next steps: [specific diagnostic actions]

Common Questions

常见问题

"Why did my downloads drop?"

Pull daily trend — when did it start?
Check if an update shipped on that date
Check keyword rankings (use
```
keyword-research
```
skill)
Check competitor activity (use
```
competitor-analysis
```
skill)

"Which countries should I localize for?" Pull country breakdown → sort by downloads → flag high-download, non-English markets → use

localization

skill

"Is my monetization improving?" Compare trial rate and trial→sub rate period over period → use

monetization-strategy

skill for paywall improvements

“我的下载量为何下降？”

拉取每日趋势——从什么时候开始下降？
检查当天是否发布了应用更新
检查关键词排名（使用
```
keyword-research
```
skill）
检查竞争对手动态（使用
```
competitor-analysis
```
skill）

“我应该为哪些国家/地区进行本地化？” 拉取国家/地区细分数据 → 按下载量排序 → 标记高下载量、非英语市场 → 使用

localization

skill

“我的变现能力正在改善吗？” 比较各时期的试用率和试用→订阅转化率 → 使用

monetization-strategy

skill 改进 paywall

asc-metrics

Original

Translation

ASC Metrics

ASC 指标

Prerequisites

前置条件

Initial Assessment

初步评估

Fetching Data

获取数据

Step 1 — List available apps

第 1 步——列出可用应用

Step 2 — Get overview (portfolio)

第 2 步——获取概览（整体数据）

Step 3 — Get app detail (single app)

第 3 步——获取应用详情（单个应用）

Analysis Frameworks

分析框架

Period-over-Period Comparison

期间对比分析

Daily Trend Analysis

每日趋势分析

Country Breakdown

国家/地区细分

Revenue Quality Check

收入质量检查

Output Format

输出格式

Performance Snapshot

表现概览

Trend Alert

趋势提醒

Common Questions

常见问题

Related Skills

相关 Skills