Exclusive Value-Added Service for FeedMob Clients FeedMob 客户专属增值服务

Blind Spot
Analysis

Discover hidden risks in your mobile app growth strategy before they impact your business 发现移动应用增长策略中被忽视的风险在问题影响业务之前先行一步

Why Blind Spot Analysis 为什么需要盲点分析

Your growth strategy
may be hiding
these blind spots
你的增长策略
可能正在掩盖
这些盲点问题

Most mobile app teams focus on metrics that are easy to measure — downloads, ratings, revenue. But what about the risks hiding in plain sight? Blind Spot Analysis reveals the gaps in your acquisition strategy, visibility coverage, and competitive positioning before they become costly problems. 大多数移动应用团队关注的是容易衡量的指标——下载量、评分、收入。但是那些隐藏在表面的风险呢?Blind Spot Analysis 在问题变得代价高昂之前,揭示获取策略、可见性覆盖和竞争定位中的差距。

Proactive Risk Detection 主动风险检测

Identify issues before competitors or market changes exploit them 在竞争对手或市场变化利用这些问题之前识别它们

AI-Powered Insights AI 驱动的洞察

Multi-dimensional analysis across ASO, GEO, advertising, and user feedback 跨 ASO、GEO、广告和用户反馈的多维度分析

Actionable Recommendations 可执行的建议

Not just what's wrong, but exactly what to do about it 不仅仅是指出问题所在,还包括具体的解决建议

3
High Risk 高风险
5
Medium 中等
2
Low 低风险
For AI Agents 面向 AI Agent

AI Agent-Friendly
Data Services
AI Agent 友好的
数据服务

Blind Spot Analysis is not just a report — it's a comprehensive data service designed for AI agents and automated workflows. All signals, evidence, and recommendations are available in structured JSON format via MCP (Model Context Protocol), enabling programmatic access for AI agents, dashboards, and custom integrations. Blind Spot Analysis 不只是一份报告——它是一项为 AI Agent 和自动化工作流设计的综合数据服务。所有信号、证据和建议都通过 MCP(模型上下文协议)以结构化 JSON 格式提供,支持 AI Agent、仪表板和自定义集成的程序化访问。

Structured JSON Output 结构化 JSON 输出

Machine-readable signals with severity, confidence, and priority scores 包含严重程度、置信度和优先级评分的机器可读信号

MCP Integration MCP 集成

Direct access via Model Context Protocol for AI agent workflows 通过模型上下文协议直接访问,支持 AI Agent 工作流

Evidence & Context 证据与上下文

Deep-dive data with representative samples and breakdowns 包含代表性样本和细分的深度数据

MCP Response
{
  "signals": [{
    "id": "geo_keyword_gap",
    "severity": "high",
    "priority_score": 88,
    "confidence": 0.85,
    "summary": "High-intent prompts...",
    "evidence": {
      "uncovered_count": 15,
      "overlap_rate": "0%"
    }
  }],
  "window": {
    "preset": "last_28d",
    "start_date": "2026-03-07",
    "end_date": "2026-04-03"
  }
}
What We Detect 我们检测什么

Blind Spot Signals 盲点信号

Our analysis covers critical risk areas that most teams miss. The signals below represent key categories — our actual detection capability spans 50+ unique signals and continues to grow. 我们的分析涵盖大多数团队直到为时已晚才注意到的关键风险领域。下方的信号代表关键类别——我们的实际检测能力涵盖 50+ 个独特信号,并持续扩展。

Intent Misalignment 意图不对齐

GEO / ASO

High-intent search prompts aren't covered by your keyword strategy. Users searching for what you offer can't find your app. 高意图搜索提示词未被关键词策略覆盖。搜索你所提供内容的用户找不到你的应用。

AI Search Discovery AI搜索发现

Growth Quality 增长质量

Downloads / DAU

Downloads are rising but DAU isn't keeping up. You may be acquiring low-quality users or failing to convert installs to active usage. 下载量在增长但日活没有跟上。可能是获取了低质量用户,或未能将新安装转化为活跃使用。

User Acquisition 用户获取

Visibility Gap 可见性差距

GEO Platforms

Your brand performs differently across AI search platforms. Being invisible on one surface means losing your share of emerging traffic. 品牌在不同AI搜索平台表现差异很大。在某个平台不可见意味着失去新兴流量的份额。

AI Discovery AI发现

Visibility Quality 可见性质量

GEO Ranking

Your brand appears in AI search results but ranks too low to capture attention. Position matters as much as presence. 品牌出现在AI搜索结果中但排名太低,无法吸引注意。排名和出现同样重要。

Brand Presence 品牌存在

External Pressure 外部竞争压力

Ad Marketplace

Competitors are increasing ad spend, compressing acquisition efficiency and driving up CPMs in your category. 竞争对手正在增加广告支出,压缩获取效率并推高你所在类别的CPM。

Competitive Intel 竞品情报

Geographic Concentration 地理集中度

DMA Distribution

Ad spend concentrated in a few markets leaves large regions untapped and increases geographic risk. 广告支出集中在少数市场会导致大片区域未被开发,并增加地理风险。

Market Coverage 市场覆盖

Channel Concentration 渠道集中度

Publisher Mix

Heavy reliance on a few publishers increases vulnerability to policy changes or availability issues. 严重依赖少数发行商会增加对政策变更或可用性问题的脆弱性。

Risk Diversification 风险分散

Review Response Neglect 评论回复忽视

User Feedback

Many 1-2 star reviews have no developer reply. Unanswered negative reviews miss the chance to turn critics into promoters. 大量1-2星评论没有开发者回复。未回复的负面评论错失了将批评者转化为支持者的机会。

User Experience 用户体验

Rating Regression 评分回归

Version Performance

A specific app version concentrates an unusually high share of low-star reviews, often pointing to a release-specific issue. 某个特定版本集中了大量低星评论,通常表明存在版本特定的问题。

Product Quality 产品质量
Sample Report 示例报告

See It In Action 实际案例

A comprehensive analysis of a fintech app revealing critical blind spots in their acquisition and visibility strategy 对一款金融科技应用的全面分析,揭示其获取和可见性策略中的关键盲点

Fintech App Case Study 金融科技应用案例

iOS · Last 28 Days

12
Health Score 健康评分
13
Blind Spots 盲点数量
6
High Risk 高风险
1 GEO keyword coverage gaps GEO关键词覆盖缺口 HIGH
2 Downloads up, DAU stagnant 下载涨,日活停滞 HIGH
3 Unanswered 1-2 star reviews 未回复1-2星评论 HIGH

What's In The Report 报告包含内容

Health Score & Risk Assessment 健康评分与风险评估

Overall app health score with severity breakdown 整体应用健康评分及严重程度分类

Priority Signal Ranking 优先级信号排序

All blind spots ranked by severity and priority score 所有盲点按严重程度和优先级评分排序

GEO Visibility Analysis GEO可见性分析

AI search platform performance across Google, Perplexity, ChatGPT Google、Perplexity、ChatGPT 等AI搜索平台表现

Ad Marketplace Intelligence 广告市场情报

Competitive ad spend, publisher distribution, DMA concentration 竞争广告支出、发行商分布、DMA集中度

Actionable Recommendations 可执行的建议

Specific steps to address each identified blind spot 解决每个已识别盲点的具体步骤

Available to FeedMob Clients 仅向 FeedMob 客户提供

Blind Spot Analysis is a value-added service included with FeedMob's mobile growth packages. Contact your account manager to get started. Blind Spot Analysis 是 FeedMob 移动增长服务套餐中的增值服务。联系您的客户经理开始使用。