Quick Answer (TL;DR)
Core Action Frequency measures how often users perform the product's primary action. The formula is Core actions / Active users per period. Industry benchmarks: Daily for daily products. Track this metric when tracking habitual engagement.
What Is Core Action Frequency?
How often users perform the product's primary action. This is one of the core metrics in the engagement metrics category and is essential for any product team serious about data-driven decision making.
Core Action Frequency measures how deeply users interact with your product after the initial activation. Strong engagement is the bridge between activation and retention, users who engage deeply are far more likely to stick around and eventually pay (or pay more). Identifying the right core action is critical, Amplitude's guide to finding your product's critical event explains how to determine which action best correlates with long-term retention.
Understanding core action frequency in context, alongside related metrics, gives you a more complete picture than tracking it in isolation. Use it as part of a balanced metrics dashboard.
The Formula
Core actions / Active users per period
How to Calculate It
Apply the formula Core actions / Active users per period using data from a consistent time period. Pull the values from your analytics platform or data warehouse, compute the result, and compare against the benchmarks below.
Benchmarks
Daily for daily products
Benchmarks vary significantly by industry, company stage, business model, and customer segment. Use these ranges as starting points and calibrate to your own historical data over 2-3 quarters. Your trend matters more than any absolute number. Consistent improvement is the goal.
When to Track Core Action Frequency
When tracking habitual engagement. Specifically, prioritize this metric when:
- You are building or reviewing your metrics dashboard and need engagement indicators
- Leadership or investors ask about engagement performance
- You suspect a change in product, pricing, or go-to-market strategy has affected this area
- You are running experiments that could impact core action frequency
- You need a quantitative baseline before making a strategic decision
How to Improve
- Build habit loops. Design triggers (notifications, emails, integrations) that bring users back to perform the core action on a regular cadence. Habits drive sustainable engagement. Nir Eyal's Hook Model provides a step-by-step framework for building trigger-action-reward cycles around your core action.
- Improve feature discovery. Users cannot engage with features they do not know exist. Use contextual tips, progressive disclosure, and smart defaults to surface relevant capabilities at the right time.
- Study power users. Your most engaged users reveal the product's highest-value workflows. Analyze their behavior patterns and find ways to guide other users toward similar usage.
Common Pitfalls
- Treating this as a standalone number. No metric tells the full story alone. Always analyze this metric in context alongside related metrics to get an accurate picture.
- Confusing activity with value. High engagement numbers can mask users who are struggling rather than thriving. Pair engagement metrics with satisfaction and outcome metrics.
- Measuring without acting. Tracking this metric is only valuable if you have a process for reviewing it regularly and a playbook for responding when it moves outside acceptable ranges.
Related Metrics
- Power User Percentage: percentage of users who exceed a high-usage threshold
- Bounce Rate: percentage of single-page visits
- Feature Usage Frequency: how often a feature is used per user per period
- Scroll Depth: how far down a page users scroll
- Product Metrics Cheat Sheet: complete reference of 100+ metrics