Metric Definition
DAU
Daily active users
Daily active users measures the number of unique users who engage with your product on a given day. It is the primary engagement metric for consumer and SaaS products, indicating whether your product has become a daily habit for its users.
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What is DAU?
Daily active users (DAU) counts the number of unique users who interact with your product on a given day. The definition of "active" varies by product but should represent a meaningful engagement, not just a passive page load or background sync.
DAU is the heartbeat metric of product engagement. It tells you how many people find your product valuable enough to use every day. Rising DAU indicates growing engagement and product-market fit. Declining DAU is an early warning of churn, competitive displacement, or product stagnation.
The metric is most relevant for products designed for daily use: communication tools, social platforms, productivity software, project management tools, and mobile apps. For products with natural weekly or monthly usage patterns (like expense reporting or tax software), DAU is less meaningful than WAU (weekly active users) or MAU (monthly active users).
DAU is sensitive to how you define "active." Logging in is a minimal definition that overstates engagement. Performing a core action (sending a message, creating a document, completing a task) is a more meaningful definition that correlates with retention and monetisation. The definition should reflect an action that represents genuine value delivery, not just presence.
The definition of "active" determines whether DAU is a vanity metric or a valuable indicator. Define active as performing a core value action, not just logging in. A user who logs in but takes no meaningful action is not truly active.
How to measure DAU
Count the number of unique users who performed at least one qualifying action within a 24-hour period. The qualifying action should be defined explicitly and documented so that the metric is consistent over time.
For a project management tool, the qualifying action might be creating, editing, or commenting on a task. For a communication platform, it might be sending or reading a message. For an analytics product, it might be viewing a report or creating a query.
DAU is typically measured using product analytics tools that track user events. The key technical decisions are how to identify unique users (user ID, device ID, or both), what timezone to use for the day boundary, and how to handle edge cases like automated actions or API-only usage.
Track DAU alongside related metrics for richer context.
| Metric | Definition | What it adds to DAU |
|---|---|---|
| DAU | Unique users active today | Absolute engagement volume |
| WAU | Unique users active in the past 7 days | Weekly engagement for less-frequent products |
| MAU | Unique users active in the past 30 days | Total addressable engaged audience |
| DAU/MAU ratio | DAU divided by MAU | Engagement intensity or "stickiness" |
| DAU growth rate | Week-over-week or month-over-month DAU change | Engagement trend direction |
DAU in a metric tree
DAU decomposes into the sources of daily active users: new users activating for the first time, existing users returning, and previously churned users who have been resurrected. The DAU/MAU ratio measures the stickiness of engagement across the user base.
The tree reveals an important insight about DAU growth. Short-term DAU can be inflated by a spike in new sign-ups (marketing campaign, viral moment, press coverage), but this is unsustainable unless those new users are retained. Long-term, sustainable DAU growth comes from improving retention rate, because retained users contribute to DAU every day, while new users contribute only once unless they return.
This is why the returning users branch is the most important for DAU health. If new user growth is strong but DAU is flat, the tree shows that the retention branch is leaking: users are arriving but not coming back. This diagnosis points to product or onboarding improvements, not more marketing spend.
DAU benchmarks
| Product type | DAU/MAU benchmark | Context |
|---|---|---|
| Social media and messaging | 50% to 70% | Daily habit products. Users check multiple times per day. |
| Productivity and collaboration | 30% to 50% | Workday-driven usage. Strong DAU/MAU during work weeks. |
| SaaS (analytics, dashboards) | 15% to 30% | Periodic use is normal. Weekly or bi-weekly patterns common. |
| E-commerce | 5% to 15% | Purchase-driven. Daily use is rare outside high-frequency categories. |
| Gaming (mobile) | 20% to 40% | Highly variable. Session-based engagement patterns. |
DAU benchmarks depend entirely on product category. A 20% DAU/MAU ratio is excellent for a SaaS analytics tool but poor for a messaging app. Benchmark against similar product types, not across categories.
How to increase DAU
- 1
Improve first-session activation
Users who experience core value in their first session are far more likely to return the next day. Optimise the onboarding flow to get users to their first "aha moment" as quickly as possible. Measuring activation rate helps track how effectively new users reach this moment.
- 2
Build habit-forming features
Features that create daily triggers, like notifications for team updates, daily digests, or streak mechanics, bring users back regularly. Design for habitual return, not just one-off use.
- 3
Invest in retention over acquisition
A 5% improvement in day-7 retention has a larger compounding effect on DAU than a 5% increase in sign-ups. Retention improvements stack over time because each retained user contributes to DAU forever.
- 4
Re-engage lapsed users
Users who have not been active in a week or a month represent a resurrection opportunity. Targeted re-engagement emails, push notifications, and in-app messages can bring them back.
- 5
Ship new features that deepen engagement
Each new valuable feature is a reason for users to return. Prioritise features that increase usage frequency, not just feature completeness.
Common mistakes with DAU
Defining "active" too loosely
Counting background syncs, automated actions, or passive page loads as active inflates DAU without reflecting genuine engagement. Use core actions that represent real value delivery.
Focusing on DAU without retention context
A spike in DAU from a marketing campaign is meaningless if those users do not return. Always track DAU alongside retention curves to understand whether growth is sustainable.
Comparing DAU across different product types
A daily-use productivity tool and a monthly reporting tool have fundamentally different DAU expectations. Only compare DAU with products in the same usage category.
Not accounting for seasonality
DAU for business tools drops on weekends and holidays. DAU for consumer apps may spike during holidays. Account for these patterns when evaluating trends.
Related metrics
Monthly Active Users
MAU
Product MetricsMetric Definition
MAU = Unique Users Active in the Past 30 Days
Monthly active users counts the number of unique users who engage with your product within a 30-day rolling window. MAU is the broadest measure of your engaged user base and a key metric for growth, monetisation, and investor reporting.
DAU/MAU Ratio
Stickiness ratio
Product MetricsMetric Definition
DAU/MAU Ratio = DAU / MAU
The DAU/MAU ratio measures what proportion of monthly active users engage with your product every day. It is the most widely used indicator of product stickiness, revealing how deeply embedded your product is in users' daily routines.
Retention Rate
Product MetricsMetric Definition
Retention Rate = (Users Active at End of Period / Users Active at Start of Period) × 100
Retention rate measures the percentage of users or customers who continue to use your product over a given period. It is the most important growth metric because sustainable growth is impossible when users leave faster than they arrive.
Feature Adoption Rate
Product MetricsMetric Definition
Feature Adoption Rate = (Users Who Used the Feature / Total Active Users) × 100
Feature adoption rate measures the percentage of users who use a specific feature within a given period. It tells product teams whether new features are resonating with users and which existing features are underutilised, guiding investment decisions and roadmap priorities.
Decompose DAU into the levers that drive it
Build a metric tree that connects DAU to new user activation, retention, and re-engagement so you can see which investments will sustainably grow daily engagement.