Google Analytics User Properties Stripe Data: Enrich GA4 Profiles with Stripe Subscription Data

Transform user segmentation and analysis by automatically syncing Stripe customer attributes to GA4 user properties—unlocking powerful insights into subscription behavior, churn patterns, and payment preferences

Understanding your users goes beyond tracking what they do—it's about knowing who they are. Today, we're introducing User Properties Sync, a powerful new feature that automatically enriches Google Analytics 4 user profiles with critical Stripe subscription data, enabling unprecedented segmentation capabilities and behavioral insights.

This Premium feature seamlessly adds six Stripe attributes to your GA4 user properties, providing a persistent, user-level view of subscription status, payment methods, and churn indicators that travel with users across every session and interaction.

The Power of User-Level Data in Analytics

While event-based tracking tells you what happened, user properties reveal who your customers really are. Traditional GA4 implementations miss crucial subscription context that could transform your analysis:

• Behavioral Blind Spots: Can't differentiate between free users, trial users, and paying subscribers in behavior reports
• Incomplete Segmentation: Unable to analyze user journeys based on subscription tier or billing frequency
• Missing Churn Context: No visibility into why users cancel or their specific feedback
• Payment Method Gaps: Can't segment users by payment method attachment or preferences
• Limited Lifetime Analysis: Difficulty connecting user behavior to subscription lifecycle stages

User Properties Sync eliminates these limitations by making Stripe data a permanent part of each user's analytics profile.

Understanding the Six Synced User Properties

Paytics automatically syncs six carefully selected user properties that provide maximum analytical value:

1. s_sub_status (Subscription Status)

What it tracks: The current subscription state of the user

Possible values:

• trialing - User is in a free trial period
• active - Subscription is active and paid
• past_due - Payment failed but subscription still active
• canceled - Subscription canceled but still active until period end
• unpaid - Subscription suspended due to payment failures
• paused - Subscription temporarily paused
• incomplete - Initial payment pending
• incomplete_expired - Initial payment window expired

Use cases:

• Create audiences for win-back campaigns targeting canceled users
• Analyze feature usage patterns between trialing and active users
• Trigger payment recovery flows for past_due subscribers
• Exclude active users from acquisition campaigns

2. s_sub_interval (Billing Interval)

What it tracks: The subscription billing frequency

Possible values:

• day - Daily billing
• week - Weekly billing
• month - Monthly billing
• year - Annual billing

Use cases:

• Compare engagement metrics between monthly and annual subscribers
• Identify upsell opportunities for monthly users showing high engagement
• Optimize pricing strategies based on interval preference patterns
• Calculate accurate LTV predictions by billing cycle

3. s_sub_product (Product Name)

What it tracks: The name of the subscribed product or plan

Possible values: Dynamic based on your Stripe product catalog (e.g., "Starter", "Professional", "Enterprise")

Use cases:

• Analyze feature adoption across different product tiers
• Identify upgrade paths between products
• Segment marketing messages by product level
• Track product-specific retention rates

4. s_sub_churn_reason (Cancellation Reason)

What it tracks: The systematic reason for subscription cancellation

Possible values:

• cancellation_requested - User requested cancellation
• payment_failed - Canceled due to payment failures
• payment_disputed - Canceled due to dispute

Use cases:

• Prioritize product improvements based on cancellation patterns
• Create targeted win-back campaigns by cancellation reason
• Identify payment processing issues affecting retention
• Measure the impact of retention initiatives on different churn segments

5. s_sub_churn_feedback (User Feedback)

What it tracks: Detailed user feedback provided during cancellation

Possible values: Free-text feedback from cancellation flow, if available (e.g., "Too expensive", "Not using enough", "Missing features")

Use cases:

• Identify common themes in cancellation feedback
• Route feedback to product teams for improvement
• Personalize win-back messaging based on specific concerns
• Track sentiment changes over time

6. s_pm_attached (Payment Method Status)

What it tracks: Whether the user has an active payment method on file

Possible values:

• true - Valid payment method attached
• false - No payment method or invalid method

Use cases:

• Predict churn risk for users without payment methods
• Target payment method update campaigns
• Analyze conversion rates based on payment method presence
• Optimize trial-to-paid conversion flows

Troubleshooting Common Issues

Properties Not Appearing in GA4

Issue: User properties not visible after 48 hours

Solutions:

• Verify User Properties Sync is enabled in Paytics settings
• Confirm User Mapping script is firing on all pages
• Check that users have Stripe customer IDs assigned
• Ensure GA4 property limits haven't been reached

Inconsistent Property Values

Issue: Property values don't match Stripe dashboard

Solutions:

• Allow 24 hours for sync after Stripe changes
• Verify timezone settings match between systems
• Check for multiple subscriptions per customer
• Confirm webhook delivery in Stripe logs

Maximizing ROI from User Properties

Quick Wins

1. Payment Recovery Campaign: Target s_sub_status = "past_due" users immediately
2. Annual Upgrade Push: Identify engaged monthly users for billing interval upsell
3. Trial Conversion Optimization: Analyze trial user behavior patterns by conversion outcome

Strategic Initiatives

1. Predictive Churn Model: Combine properties with engagement data for early warning system
2. Product-Led Growth: Use product tier data to optimize feature gates and upgrade prompts
3. Customer Success Automation: Trigger interventions based on property combinations

The Future of User-Centric Analytics

User Properties Sync represents a fundamental shift in how you understand and act on customer data. By enriching every GA4 user profile with real-time Stripe subscription context, you gain the ability to:

• Make data-driven decisions based on actual customer value, not just behavior
• Create hyper-targeted segments that reflect business reality
• Build predictive models with subscription lifecycle context
• Optimize every touchpoint based on user state and value

This isn't just about better reporting—it's about transforming raw data into actionable intelligence that drives growth, reduces churn, and maximizes customer lifetime value.

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Questions about User Properties Sync feature? Our support team is ready to help at support@paytics.io