Introduction
This guide outlines best practices for transitioning from Google Analytics 4 (GA4) to Gainsight PX. While both platforms offer valuable insights, Gainsight PX is specifically designed for product analytics and user engagement, making it a powerful tool for product-led growth strategies.
1. Understand the Key Differences
Before migrating, it's crucial to understand how Gainsight PX differs from GA4:
- Focus: PX is product-centric, while GA4 is web/app-centric
- User Identification: PX ties data to actual users, GA4 uses anonymous client IDs
- Engagement Tools: PX offers native in-app engagement features
- Data Freshness: PX provides real-time data, GA4 has some processing delay
- Integration: PX integrates with customer success and CRM tools
2. Audit Your Current GA4 Setup
- List all custom events and conversions you're tracking in GA4
- Identify key metrics and KPIs you're currently monitoring
- Review any custom dimensions or user properties you've set up
3. Map GA4 Events to Gainsight PX Events
- Gainsight PX tracks the following by default:
- Session/Visits
- Page Loads
- Link Clicks
- Button Clicks
- Any events that are not equivalent to these would have to be added as a custom event
- Create a spreadsheet mapping GA4 events to equivalent PX events. For example:
GA4 Event | Gainsight PX Event |
---|---|
page_view | Page Viewed |
file_download | File Downloaded |
form_submit | Form Submitted |
- Identify any GA4 events that don't have direct equivalents in PX.
4. Set Up Gainsight PX Tracking
- Implement the Gainsight PX tracking code on your product
- Use the PX SDK to track custom events that match your GA4 setup
- Set up user identification to tie events to specific users
- Configure any additional product-specific events not tracked in GA4
5. Recreate Key Reports and Dashboards
- List essential reports and dashboards from GA4
- Create a list of reporting functionality
- Explore re-creating these in Gainsight PX, utilizing PX's product-centric features
Example transitions:
- GA4 Conversion Funnel → PX Funnels
- GA4 Cohort Analysis → PX Retention Analysis
- GA4 User Explorer → PX Audience Explorer
6. Leverage Gainsight PX-Specific Features
Implement PX features not available in GA4:
- Set up in-app guides and tooltips for user onboarding
- Create targeted in-app surveys for user feedback
- Utilize PX's native email campaigns for user activation
- Implement feature adoption tracking
7. Update Integrations and Data Flows
- Review all tools integrated with GA4 (e.g., CRM, marketing automation)
- Set up equivalent integrations with Gainsight PX
- Update any automated reports or data pipelines
8. Train Your Team
Conduct training sessions on Gainsight PX for different teams:
- Product Managers: Feature adoption, user journeys
- Customer Success: User health scores, engagement metrics
- Marketing: User acquisition and activation metrics
Create a quick reference guide for transitioning from GA4 to PX terminology.
9. Gradual Rollout and Validation
- Run both GA4 and Gainsight PX in parallel initially
- Validate that key metrics match between the two systems
- Gradually shift team members to using PX as their primary analytics tool
10. Leverage Advanced PX Capabilities
Once the basic migration is complete, explore advanced PX features:
- Implement product analytics for feature prioritization
- Set up advanced segmentation for personalized user experiences
Conclusion
Migrating from GA4 to Gainsight PX represents a shift towards more product-centric analytics and engagement. By following these best practices, you can ensure a smooth transition that leverages the full power of Gainsight PX for driving product-led growth.
Google Analytics 4 vs Gainsight PX Comparison
Feature/Aspect | Google Analytics 4 | Both | Gainsight PX |
---|---|---|---|
Primary Focus | Web and app analytics | Product experience analytics | |
Target Users | Marketers, analysts | Product managers, customer success teams | |
Data Collection | Event-based tracking | Feature usage, In-app user behavior | |
User Identification | Anonymous client IDs | Ties data to actual user accounts | |
Real-time Reporting | Limited real-time data | Up-to-the-second data freshness | |
Custom Events | Configurable custom events | ||
Funnel Analysis | User journey/funnel analysis | ||
Segmentation | Advanced user segmentation | ||
Integrations | Google Ads, Google Marketing Platform | CRM, Customer Success platforms | |
In-app Engagement | Native in-app guides and surveys | ||
Email Engagement | Email campaigns for user activation | ||
Feedback Collection | In-app NPS, CSAT, CES surveys | ||
User Journey Visualization | Cross-platform user journeys | Product-specific user flows | |
E-commerce Tracking | Built-in e-commerce reporting | Some e-commerce on dashboards | |
Attribution Modeling | Advanced attribution models | ||
Audience Building | Audience/segment creation | ||
Data Export | BigQuery export | CSV, S3, CS Integration | |
Privacy Controls | Data retention controls, consent mode | ||
Implementation | JavaScript tag | JavaScript SDK | |
Mobile App Tracking | Native SDKs for iOS and Android | ||
Customizable Dashboards | Customizable dashboards and reports | ||
API Access | Data access via API |