How do I install the Analytics Reporting skill?

Run npx skillmds@latest add kienbui1995/analytics-reporting in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Analytics Reporting safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Analytics Reporting?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Analytics Reporting free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Analytics Reporting?

kienbui1995 (@kienbui1995) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Analytics Reporting by kienbui1995 — Agent Skill

Name: Analytics Reporting
Author: kienbui1995

File contents

Marketing Analytics & Reporting

When to Use

When measuring marketing performance, attributing revenue to channels, or building the dashboards stakeholders use to make decisions.

Core Jobs

1. Define Marketing KPIs

Tier 1 (CEO/board cares):

Pipeline generated (revenue value of leads created)
Revenue influenced by marketing
Customer Acquisition Cost (CAC) by channel

Tier 2 (Marketing team cares):

MQLs (marketing qualified leads) by channel
SQL conversion rate (MQL → Sales Qualified Lead)
Campaign ROI (revenue / spend per campaign)

Tier 3 (Channel managers care):

CPL (cost per lead) by campaign
Click-through rate, conversion rate
Email open/click rates

2. Attribution Models

How to give credit to touchpoints:

Last touch: 100% credit to last channel before conversion (simple, common, misleading)
First touch: 100% credit to first channel (good for awareness measurement)
Linear: equal credit across all touchpoints
Time decay: more credit to recent touchpoints
Data-driven: ML-based (requires high volume, GA4/Rockerbox)

Recommendation: use multi-touch for strategic decisions, last-touch for channel budgeting.

3. Build the Dashboard

Structure:

Page 1: Executive summary (pipeline, revenue, CAC — this month vs last month vs goal)
Page 2: Channel breakdown (spend, leads, CPL, CAC per channel)
Page 3: Campaign performance (individual campaign ROI)
Page 4: Email metrics (by segment and campaign)

4. Reporting Cadence

Weekly: channel performance vs targets (10-min standup)
Monthly: full report with insights and recommendations
Quarterly: attribution review and budget reallocation

Key Outputs

Marketing KPI definitions
Attribution model selection rationale
Dashboard (with automated data refresh)
Monthly report template

Anti-Patterns

Reporting without comparing to targets or previous period
Only reporting what went well (cherry-picking)
Last-touch attribution for multi-channel programs (misleads budget decisions)
Dashboard no one looks at — ask stakeholders what decisions they need to make

---name: analytics-reportingdescription: Use when building marketing dashboards, attribution models, or reporting on campaign performance---# Marketing Analytics & Reporting## When to UseWhen measuring marketing performance, attributing revenue to channels, or building the dashboards stakeholders use to make decisions.## Core Jobs### 1. Define Marketing KPIsTier 1 (CEO/board cares):- Pipeline generated (revenue value of leads created)- Revenue influenced by marketing- Customer Acquisition Cost (CAC) by channelTier 2 (Marketing team cares):- MQLs (marketing qualified leads) by channel- SQL conversion rate (MQL → Sales Qualified Lead)- Campaign ROI (revenue / spend per campaign)Tier 3 (Channel managers care):- CPL (cost per lead) by campaign- Click-through rate, conversion rate- Email open/click rates### 2. Attribution ModelsHow to give credit to touchpoints:- **Last touch**: 100% credit to last channel before conversion (simple, common, misleading)- **First touch**: 100% credit to first channel (good for awareness measurement)- **Linear**: equal credit across all touchpoints- **Time decay**: more credit to recent touchpoints- **Data-driven**: ML-based (requires high volume, GA4/Rockerbox)Recommendation: use multi-touch for strategic decisions, last-touch for channel budgeting.### 3. Build the DashboardStructure:- Page 1: Executive summary (pipeline, revenue, CAC — this month vs last month vs goal)- Page 2: Channel breakdown (spend, leads, CPL, CAC per channel)- Page 3: Campaign performance (individual campaign ROI)- Page 4: Email metrics (by segment and campaign)### 4. Reporting Cadence- Weekly: channel performance vs targets (10-min standup)- Monthly: full report with insights and recommendations- Quarterly: attribution review and budget reallocation## Key Outputs- Marketing KPI definitions- Attribution model selection rationale- Dashboard (with automated data refresh)- Monthly report template## Anti-Patterns- Reporting without comparing to targets or previous period- Only reporting what went well (cherry-picking)- Last-touch attribution for multi-channel programs (misleads budget decisions)- Dashboard no one looks at — ask stakeholders what decisions they need to make

Frequently asked questions

Analytics Reporting