Using customer segments with analytics
Segments are a powerful tool for understanding customer behavior and uncovering trends in your subscription data. While segments are often used in flows, you can also use them independently to analyze and monitor specific customer groups when viewing your store analytics.
This guide explains how you can use customer segments to filter your analytics by customer group.
- Shopify Checkout Integration
- Migrated Shopify Checkout Integration
Before you start
- See Managing customer segments for instructions on creating and deleting segments, as well as adding customers to segments.
- It can take up to 24 hours for a newly created or updated segment to populate data in Analytics dashboards. If you don’t see results immediately when applying a segment filter, check back later.
Key benefits
Using segments with Recharge Analytics allows you to:
Isolate specific customer groups based on shared attributes
Track behavior across targeted cohorts over time
Identify trends that may not be visible in overall metrics
Make more informed decisions about retention, promotions, and lifecycle strategies
When to use segments
Consider using segments when you want to:
Compare performance between different customer groups (for example, new vs. returning subscribers)
Analyze the impact of a promotion, campaign, or product change
Monitor high-value or at-risk customers
Understand behavior based on subscription attributes, such as frequency or product type
How segments enhance analysis
Segments act as a filter layer across many dashboards.
Instead of reviewing broad store analytics, you can narrow your focus to a specific audience and gain more meaningful insights.
For example, you can:
Create a segment of customers who skipped their last order and analyze churn risk
Build a segment of long-term subscribers to evaluate loyalty trends
Group customers by acquisition source to compare performance across channels
This approach helps you move from general reporting to targeted analysis.
Best practices
To get the most value from segments in analytics:
Start with a clear question: Define what you want to learn before creating a segment.
Keep segments focused: Avoid overly complex criteria that make results harder to interpret.
Use consistent definitions: Standardize segment criteria to compare results over time.
Revisit and refine segments: Update segments as your business evolves or new data becomes available.
Combine with other tools: Use segments alongside dashboards and reports to build a more complete picture.
