google-analytics_skill

Overview

This skill analyzes Google Analytics (GA4) data to review website performance, traffic patterns, and user behavior, then provides actionable, prioritized recommendations. It connects to the Google Analytics Data API, fetches relevant metrics, and interprets results to highlight opportunities to improve engagement and conversions. Use it to turn raw analytics into clear next steps for product, marketing, and engineering teams.

How this skill works

I connect to the Google Analytics Data API using a service account and the configured property ID, then fetch metrics and dimensions relevant to your query (traffic, engagement, acquisition, conversions). I run comparative and trend analyses, identify high- and low-performing pages or channels, and surface bottlenecks and conversion opportunities. Finally, I deliver prioritized recommendations with expected impact and implementation guidance.

When to use it

• Evaluate overall site performance for a recent period (last 7/30/90 days)
• Identify top traffic sources and underperforming channels
• Diagnose pages with high bounce or low engagement
• Assess conversion funnels and drop-off points
• Compare period-over-period performance to measure changes

Best practices

• Provide the GA4 property ID and ensure a service account with Viewer access is configured
• Use clear date ranges and comparison periods when requesting analysis
• Share specific goals or conversion events to focus recommendations
• Keep credentials out of code: use environment variables or secure .env files
• Rotate keys regularly and grant least-privilege access

Example use cases

• Review last 30 days of traffic, list top sources, and recommend quick wins to increase sessions
• Analyze pages with the highest bounce rates and suggest UX or content changes
• Compare this month to last month to explain traffic increases or declines
• Audit conversion funnel to identify where users drop off and propose remediation steps
• Segment traffic by channel to prioritize marketing spend and A/B test ideas