- Features
- Google Analytics 4 Integration
Features
Google Analytics 4 Integration
Analyze your GA4 data and create custom dashboards directly in PlotsAlot
Bring Google Analytics Data to Life
Connect your Google Analytics 4 property and analyze your website and app data without leaving PlotsAlot. Create custom dashboards, identify trends, and share insights with stakeholders.
What You Can Do
Connect GA4
Link your Google Analytics 4 property with one-click authentication.
Query Data
Use natural language to ask questions about your traffic and users.
Create Dashboards
Build custom dashboards combining GA4 data with other sources.
Share Insights
Share interactive GA4 dashboards with your team and clients.
Supported Metrics
User Metrics
- Total Users
- New Users
- Active Users (DAU, WAU, MAU)
- User Acquisition
- User Retention
- Churn Rate
- Returning Visitors
Engagement Metrics
- Sessions
- Session Duration
- Bounce Rate
- Pages Per Session
- Engagement Rate
- Event Count
- Event Value
Conversion Metrics
- Conversions
- Conversion Rate
- Goal Completions
- Revenue (if ecommerce enabled)
- Transaction Value
- Items Sold
- Funnel Completion
Traffic Metrics
- Page Views
- Unique Page Views
- Landing Pages
- Exit Pages
- Traffic by Source
- Traffic by Medium
- Traffic by Campaign
Device & Demographics
- Device Type (Mobile, Desktop, Tablet)
- Operating System
- Browser
- Country
- City
- Age (if enabled)
- Gender (if enabled)
Custom Dimensions
- Any custom dimensions you’ve set up
- Custom user properties
- Custom event parameters
Getting Started
Step 1: Connect Google Analytics
- Click “Connect Analytics” in PlotsAlot
- Select your Google Analytics 4 property
- Authorize PlotsAlot to access your data
- Choose date range for analysis
Step 2: Select Metrics
Choose which metrics you want to analyze:
- Users and sessions
- Engagement metrics
- Conversion data
- Traffic sources
- Device information
Step 3: Ask Questions
Use natural language to query your data:
- “What’s my traffic by source this month?”
- “Which pages have the highest bounce rate?”
- “Show me user growth over the last quarter”
- “What’s my conversion rate by device type?”
Step 4: Visualize Results
PlotsAlot automatically creates appropriate visualizations:
- Line charts for trends
- Bar charts for comparisons
- Pie charts for distributions
- Tables for detailed data
Step 5: Share Dashboard
Share your GA4 dashboard with stakeholders or embed in reports.
Common Dashboards
Executive Dashboard
Key metrics at a glance:
- Total users and growth
- Session count and duration
- Conversion rate
- Revenue (if applicable)
- Top traffic sources
Traffic Analysis
Understand where your traffic comes from:
- Traffic by source (Organic, Paid, Direct, Referral)
- Traffic by medium
- Campaign performance
- Trending sources
User Behavior
How users interact with your site:
- Top pages by views
- User flow paths
- Engagement metrics
- Time on site
- Bounce rates
Conversion Funnel
Track users through your conversion process:
- Step-by-step completion
- Drop-off points
- Conversion rate by source
- Revenue by funnel stage
Device Analysis
Performance across devices:
- Mobile vs. Desktop traffic
- Conversion rate by device
- Bounce rate by device
- Revenue by device
Geographic Performance
Where your best users are:
- Traffic by country
- Conversions by region
- User demographics
- Device usage by region
Real-World Use Cases
Marketing Teams
Monitor campaign performance, track ROI, and share results with stakeholders.
E-Commerce
Track product performance, conversion funnels, and revenue metrics.
Content Publishers
Analyze page performance, user engagement, and traffic sources.
SaaS Companies
Monitor sign-ups, user activation, and retention metrics.
Agencies
Create client dashboards showing website performance and results.
In-House Teams
Build internal dashboards for weekly/monthly performance reviews.
Date Range Options
Quick Ranges
- Last 7 days
- Last 30 days
- Last 90 days
- Last year
- Year to date
- Custom dates
Comparisons
- This period vs. last period
- This year vs. last year
- Quarter comparisons
- Month-over-month
Metrics Reference
Calculation Examples
Bounce Rate
Bounced Sessions / Total Sessions × 100
Conversion Rate
Total Conversions / Total Sessions × 100
Average Session Duration
Total Session Duration / Total Sessions
Pages Per Session
Total Screenviews / Total Sessions
Advanced Features
Cohort Analysis
Analyze specific user groups:
- Users from specific sources
- Users on specific devices
- New vs. returning users
- Users by acquisition date
Funnel Analysis
Track user progression:
- Step-by-step funnel visualization
- Drop-off analysis
- Conversion rate by step
- Device/source comparisons
Retention Analysis
Track user retention over time:
- Day 1, 7, 30 retention rates
- Cohort retention
- Churn metrics
Attribution Modeling
Understand conversion paths:
- First-click attribution
- Last-click attribution
- Linear attribution
- Time decay
Security & Privacy
Data Protection
- OAuth Authentication: Secure Google login
- Encrypted Connection: HTTPS for all data
- No Data Storage: GA4 data processed on-demand
- Audit Logging: Track all data access
Privacy Compliance
- GDPR Compliant: Full compliance with regulations
- No PII Exposure: Personally identifiable data handled securely
- Data Minimization: Only access needed metrics
- Retention Policies: Data not retained longer than necessary
Limitations & Considerations
- Data Availability: GA4 data available after 24-48 hours
- Sample Size: Large accounts may use data sampling
- Custom Dimensions: Must be tracked in GA4 first
- Historical Data: Only data from GA4 implementation forward
- Query Limits: Some very large date ranges may be sampled
Troubleshooting
Connection Issues
- Verify you’re logged into correct Google account
- Check that the GA4 property has data
- Ensure the user has appropriate GA4 permissions
- Try disconnecting and reconnecting
Missing Metrics
- Confirm metric is enabled in GA4
- Check that data exists in date range
- Verify metric tracking is working
- Custom dimensions must be configured in GA4
Slow Performance
- Reduce date range
- Focus on specific metrics
- Use sampling for very large datasets
- Try different time periods
