Upgrade path analytics examines how users move between different product tiers and subscription levels over time. Each transition from a lower to higher tier represents an expansion opportunity and reveals patterns in customer growth. Understanding these patterns helps optimize pricing tiers and feature distribution.

The analysis tracks key timing and conversion metrics between tiers. For example, data might show users typically spend 3 months in the basic tier before upgrading to professional, with a 30% conversion rate. Feature usage patterns often indicate when users are ready to upgrade — like consistently hitting usage limits or frequently accessing premium feature previews.

Tracking upgrade paths helps identify which features drive tier transitions and where users get stuck. This information guides product teams in designing effective upgrade prompts, feature previews, and tier structures that encourage natural progression through pricing tiers.