Funnel Analysis
The process of tracking and measuring user progression through a defined sequence of steps toward a conversion goal, identifying where users drop off and quantifying the conversion rate between each stage.
Funnel analysis maps out the sequential steps users take toward a desired outcome, like purchasing a product or completing onboarding, and measures the conversion rate at each transition. By visualizing where users abandon the process, teams can identify the highest-impact areas for optimization.
For growth teams, funnel analysis is the primary diagnostic tool for understanding conversion efficiency. AI enhances funnel analysis through automatic funnel discovery that identifies the most common paths to conversion without predefined step definitions, anomaly detection that flags unexpected drop-off rate changes, and predictive models that estimate conversion probability at each stage. Growth engineers should build funnel analysis capabilities that support both predefined funnels for known conversion paths and exploratory funnel analysis for discovering unexpected user journeys. Key analytical techniques include segmenting funnel performance by user attributes to identify which segments convert best, time-to-convert analysis that reveals how long each step takes, and parallel funnel comparison across different time periods or experiment variants. The most actionable insight often comes not from the overall funnel but from comparing conversion rates across segments to identify which user types struggle at which steps.
Related Terms
Event Tracking
The practice of recording specific user interactions within a digital product, such as clicks, form submissions, page views, and feature usage, as structured data events that can be analyzed to understand user behavior.
Event Taxonomy
A structured naming convention and classification system for analytics events that ensures consistency, discoverability, and usability of tracking data across teams, platforms, and analysis tools.
Conversion Rate Analytics
The systematic measurement and analysis of the percentage of users who complete a desired action out of the total who had the opportunity, applied across multiple conversion points throughout the user journey.
Drop-Off Rate
The percentage of users who leave a process or sequence at a specific step without completing the next step, the inverse of step-level conversion rate, used to identify friction points in user flows.
Cohort Analysis
A technique that groups users by a shared characteristic or experience within a defined time period and tracks their behavior over subsequent periods, revealing how user behavior evolves and differs across groups.
DAU/MAU Ratio
The ratio of daily active users to monthly active users, expressing what percentage of monthly users engage on any given day. A higher ratio indicates stickier product engagement and stronger habitual usage patterns.