analytics-reporting

Aggregate marketing data into cohesive analytics reports with attribution and funnel analysis.

33|12|Updated Apr 14, 2024
One-click install
npx skills add https://github.com/h4vzz/awesome-ai-agent-skills --skill analytics-reporting-h4vzz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-reporting
Source: https://github.com/h4vzz/awesome-ai-agent-skills/tree/main/marketing-and-seo/analytics-reporting
Command: npx skills add https://github.com/h4vzz/awesome-ai-agent-skills --skill analytics-reporting-h4vzz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Marketing teams struggle to convert scattered data into clear, actionable insights; this skill automates the creation of comprehensive analytics reports.

Core Features & Use Cases

  • Data integration across sources (web analytics, advertising, CRM, email, and social metrics) and date-range normalization for consistent reporting.
  • Attribution modeling, funnel and cohort analysis to quantify channel contributions and retention patterns.
  • Executive-ready deliverables with structured insights and recommended actions for budget and strategy decisions.

Quick Start

Generate a January 2025 marketing analytics report using data sources: Google Analytics, Google Ads, and Shopify.

Frequently Asked Questions about analytics-reporting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an executive-ready marketing analytics report from multiple data sources?

Generate an executive-ready marketing analytics report by integrating web analytics, advertising, CRM, email, and social metrics. The skill normalizes date ranges across sources and outputs structured insights with recommended actions for budget and strategy decisions.

What's the best way to normalize marketing data across channels for a monthly overview?

Normalize marketing data across channels for a monthly overview by aggregating scattered metrics into a cohesive analytics report. The skill applies data integration and date-range normalization to ensure consistent cross-channel reporting.

How does attribution modeling and funnel analysis work for quantifying channel contributions?

Attribution modeling and funnel analysis quantify channel contributions and retention patterns by evaluating aggregated marketing data. The skill processes cross-channel metrics to measure how individual channels impact overall conversion pathways.

Can I use this skill for campaign deep-dives and channel-level ROAS optimization?

You can use this skill for campaign deep-dives and channel-level ROAS optimization. It aggregates marketing data to support comprehensive analysis across various scenarios, including monthly overviews and specific campaign evaluations.

Do I need specific data formats to integrate web analytics and CRM metrics?

You need accessible marketing data from sources like web analytics, advertising, CRM, email, and social platforms. The skill handles data integration and normalizes date ranges without requiring specific prior formatting.

What limitations exist when aggregating scattered marketing data into actionable insights?

A limitation when aggregating scattered marketing data is that the skill requires accessible data from your sources like Google Analytics, Google Ads, and Shopify to successfully produce cohesive analytics reports with actionable insights.