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google-analytics

Analyze Google Analytics 4 data for website performance and user behavior.

416|35|Updated Apr 13, 2026
Search Tags:#conversion rate#traffic analysis#user behavior#website performance#google analytics
One-click install
npx skills add https://github.com/kwakseongjae/oh-my-design --skill google-analytics-kwakseongjae
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-analytics
Source: https://github.com/kwakseongjae/oh-my-design/tree/main/.agents/skills/google-analytics
Command: npx skills add https://github.com/kwakseongjae/oh-my-design --skill google-analytics-kwakseongjae

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-analytics-data, python-dotenv, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of analyzing Google Analytics data, helping you gain actionable insights and optimize your website performance.

Core Features & Use Cases

  • Google Analytics Data Analysis: Retrieve and analyze Google Analytics data to understand website performance.
  • Traffic Analysis: Identify traffic sources, user behavior, and conversion funnels.
  • Content Performance: Analyze page performance, bounce rates, and user engagement.
  • Use Case: Suppose you want to analyze the performance of your website's landing pages and identify areas for improvement. This Skill can help you review the bounce rates, session durations, and user interactions on those pages.

Quick Start

To get started, run the 'analyze.py' script with the desired parameters: python scripts/analyze.py --analysis-type overview --days 30 --compare previous-period.

Frequently Asked Questions about google-analytics

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

FAQPage Schema
How do I analyze Google Analytics 4 data for website performance and user behavior?▼

You can analyze Google Analytics 4 data for website performance and user behavior by running the provided analyze.py script with parameters like --analysis-type overview --days 30 --compare previous-period to retrieve and evaluate metrics.

What do I need to retrieve Google Analytics data for traffic analysis and conversion rate optimization?▼

Retrieving Google Analytics data for traffic analysis and conversion rate optimization requires Google Analytics API credentials and Python packages including google-analytics-data, python-dotenv, and pandas to execute the analysis scripts.

Can I evaluate content performance and bounce rates using Python and Google Analytics data?▼

Yes, you can evaluate content performance, page performance, and bounce rates by processing Google Analytics data outputs through Python using the google-analytics-data and pandas packages.

What is the best way to compare current website traffic analysis with previous periods?▼

Comparing current website traffic analysis with previous periods involves executing the analyze.py script with the --compare previous-period parameter to directly contrast user behavior and traffic sources over specified days.

Does this Google Analytics data analysis approach work for identifying traffic sources and conversion funnels?▼

This Google Analytics data analysis approach works for identifying traffic sources and conversion funnels by retrieving API data and processing user behavior metrics through Python pandas dataframes.

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