Google Analytics Integration #

Connect your Google Analytics account to enable AI agents to access analytics data, create custom datasets, and generate insights from your website and app performance. Perfect for data analysis, reporting, and performance monitoring workflows.

Setup #

Navigate to Settings → Integrations in your Overclock dashboard
Click Connect next to Google Analytics
Authorize Overclock to access your Google Analytics account
Your Google Analytics integration is now ready to use

What You Can Do #

Your AI agents can now:

Access analytics data from your GA4 properties
Create custom datasets by combining specific dimensions and metrics
List accounts and properties to understand your analytics structure
Retrieve audience information for targeting and analysis
Generate insights from your website and app performance data

Available Actions #

List Accounts: Enumerate all Google Analytics accounts your credentials can access
Get Account: Retrieve detailed information about a specific account by resource name
List Audiences: Fetch all audiences for a GA4 property after confirming its existence
Create Expanded Data Set: Combine specific dimensions and metrics into custom datasets for analysis

Example Playbook: Weekly Analytics Report #

Here’s how you might automate weekly performance reporting:

# Weekly Analytics Performance Report
Analyze website performance and generate insights for stakeholders.

## Steps

- Gather analytics data from Google Analytics:
   - List all accessible accounts and properties
   - Retrieve account details for primary properties
   - Access audience data for user segmentation analysis
   - Create custom datasets for specific analysis needs

- Analyze key performance indicators:
   - **Traffic Sources:** Which channels drive the most visitors
   - **User Behavior:** Pages with highest engagement and conversion rates
   - **Audience Insights:** Demographics and user segments performing best
   - **Conversion Funnel:** Where users drop off in the conversion process

- Create custom datasets for specific analysis:
   - Combine user demographics with conversion data
   - Analyze traffic sources by user segment
   - Track performance by device type and location
   - Monitor custom events and user interactions

- Generate comprehensive report including:
   - **Executive Summary:** Key metrics and trends for the week
   - **Traffic Analysis:** Sources, volume, and quality of visitors
   - **User Behavior:** Most popular content and user journey patterns
   - **Conversion Insights:** What's working and where to improve
   - **Recommendations:** Actionable insights for optimization

- Share report with marketing team via Slack

- Create follow-up tasks for any identified optimization opportunities

## Trigger

- Run every Monday morning to analyze previous week's performance

More Use Cases #

Campaign Performance: Track and analyze the effectiveness of marketing campaigns across different channels

Content Optimization: Identify which content performs best and optimize underperforming pages

User Experience Analysis: Understand user behavior patterns and identify friction points in the user journey

Conversion Optimization: Analyze conversion funnels and identify opportunities to improve conversion rates

Competitive Analysis: Monitor performance trends and compare against industry benchmarks

Getting Started #

Ready to automate your analytics reporting? Try creating a playbook that:

Identifies the key metrics that matter most to your business
Sets up regular reporting on those metrics
Generates insights and recommendations based on the data

The AI will handle data collection and analysis while you focus on acting on the insights to improve your website or app performance.

Data Privacy & Security #

All data access follows Google Analytics API best practices
Only authorized properties and accounts are accessible
Data is processed securely and not stored permanently
Respects user privacy settings and data retention policies