走过

Marketing Analytics

数据分析v1.0.0
作者:走过更新于 2026-05-11marketing-analytics@clawhub_1970168137/marketing-analytics
报表生成数据洞察竞品分析#Marketing

据 AlphaMoat 统计,截至 2026-09,Marketing Analytics 累计下载 4,461 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,168 位,在「数据分析」分类(399 个)中排名第 175 位。

累计安装
143
累计下载
4,461
星标
2
全站排名
#2,168
全站前 43% · 「数据分析」前 44%
平台累计安装累计下载星标评论
ClawHub ↗1434,4612-
SkillHub ↗1414,4112—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

该指南可整理营销活动表现并提出改进方向,也提供运营分析、决策支持和流程标准化框架。结果依赖输入数据的准确性与完整性,使用前应结合业务背景、行业要求和活动证据核验,并由相关专业人员审阅。提供分析上下文时仅提交必要数据;未经授权不要上传客户个人信息、凭据、合同或受监管资料。

资料发布于 2026-10-29

可以用来做什么

  • 汇总营销活动表现
  • 形成运营和策略讨论材料
  • 整理待核验的优化建议

什么时候用

  • 已有适合分析的活动数据时
  • 能够先去除不必要的敏感信息时
  • 建议会经过业务人员核验后再实施时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

根据这份已脱敏的营销活动数据总结观察结果和待验证的改进建议;区分数据事实与推测,不要执行或发布任何变更。

月度数据趋势

累计下载4,461
1,6153,1444,6722026-03 · 累计下载 1,8262026-05 · 累计下载 3,3662026-06 · 累计下载 3,5952026-07 · 累计下载 4,0502026-08 · 累计下载 4,2912026-09 · 累计下载 4,46126-0326-09
星标2
1232026-03 · 星标 22026-05 · 星标 22026-06 · 星标 22026-07 · 星标 22026-08 · 星标 22026-09 · 星标 226-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,461—2
2026-084,291+6.0%2
2026-074,050+12.7%2
2026-063,595+6.8%2
2026-053,366—2
2026-031,826—2

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.1 KB · ClawHub v1.0.0
---
name: marketing-analytics
description: "Analyze marketing campaign data to generate performance reports and optimization recommendations"
---

# Marketing Analytics

## Overview

This SKILL provides professional Marketing capabilities to help businesses streamline operations and improve outcomes.
展开全部(共 75 行)

## Capabilities

- Analyze marketing campaign data to generate performance reports and optimization recommendations
- Industry best practices and standardized workflows
- Data-driven insights and recommendations
- Compliance and risk management considerations

## Use Cases

### Primary Applications
- Business operations optimization
- Strategic decision support
- Process automation and standardization
- Performance monitoring and improvement

### Industry Applications
- Enterprise-level implementations
- Small and medium business solutions
- Cross-functional team collaboration
- Vendor and partner management

## Input Requirements

**COPY and paste the following content as input:**

```
[Please provide your specific business context, data, or requirements here]
```

### Required Information
- Business context and objectives
- Relevant data or documents
- Specific requirements or constraints
- Target audience or stakeholders

### Optional Information
- Historical data or benchmarks
- Competitive landscape
- Regulatory requirements
- Budget and timeline constraints

## Output Format

The SKILL will provide:

1. **Analysis & Insights** - Data-driven observations and recommendations
2. **Actionable Deliverables** - Ready-to-use documents, scripts, or plans
3. **Implementation Guidance** - Step-by-step execution instructions
4. **Best Practices** - Industry standards and proven methodologies

## Best Practices

- Always provide complete context for optimal results
- Review outputs for business-specific customization
- Validate recommendations against your specific industry standards
- Iterate based on feedback and performance metrics

## Limitations

- Requires accurate and complete input data
- Outputs should be reviewed by domain experts
- May need customization for highly specialized industries
- Does not replace professional legal, financial, or medical advice

「数据分析」分类下的热门技能

走过 的其他技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。