DAU (Daily Active Users)
What it means: How many unique users were active today.
Why it matters: Shows daily product pull and short-term momentum.
Metrics
Understand your metrics in plain language
This page explains what each metric tells you about your product and your users, without technical API details.
Active Users
These metrics show how many people use your app over different time windows.
WAU (Weekly Active Users)
What it means: How many unique users were active in the last 7 days.
Why it matters: Helps you see whether people come back during the week.
MAU (Monthly Active Users)
What it means: How many unique users were active in the last 30 days.
Why it matters: Gives you a stable view of your product reach.
New Users
What it means: How many users used your app for the first time in a period.
Why it matters: Shows whether acquisition and onboarding are working.
Engagement
These metrics show how often and how deeply people use your app.
Sessions per User
What it means: How often users come back and start a new session.
Why it matters: Higher values usually mean stronger habit and repeat usage.
Session Length
What it means: How long a typical session lasts.
Why it matters: Shows how much time users spend actively using your app.
Retention (7d / 30d)
What it means: How many users return after their first use.
Why it matters: One of the clearest signals of long-term product value.
Tool Calls per Session
What it means: How many tool interactions happen in an average session.
Why it matters: Shows depth of interaction, not just app opens.
Product Usage and Adoption
These metrics show feature usage patterns and who your most valuable users are.
Tool Calls
What it means: Total number of tool invocations in a period.
Why it matters: Shows total activity volume in your product.
Tool Calls per User
What it means: Average number of tool calls each active user makes.
Why it matters: Helps compare heavy vs light usage behavior.
Power Users
What it means: Users who use the app much more than average.
Why it matters: Shows who gets the most value and what strong adoption looks like.
Feature Adoption
What it means: How many sessions actually used a specific feature.
Why it matters: Shows which features matter in real usage, not just releases.
Users by Dimension
What it means: Breakdown of users by locale, country, region, city, timezone, or user agent.
Why it matters: Helps you understand who your users are and where they are.