Metric Definition
WAU
Track from
Weekly active users
Weekly active users measures the number of unique users who engage with your product at least once during a seven-day window. It bridges the gap between daily and monthly active users, making it the right engagement metric for products with natural weekly usage patterns.
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What are weekly active users?
Weekly active users (WAU) counts the number of unique users who perform a qualifying action within a rolling or calendar seven-day window. Like DAU and MAU, the definition of "active" should represent a meaningful interaction, not a passive event like a background sync or automated notification receipt.
WAU is the most appropriate engagement metric for products that are not designed for daily use but are used more frequently than once a month. Many B2B SaaS tools fall into this category: project management platforms, analytics dashboards, reporting tools, and CRM systems are typically used several times per week but not necessarily every day. For these products, DAU understates engagement because users skip weekends or non-peak days, while MAU overstates it by counting users who engaged only once in thirty days.
WAU also smooths out the day-of-week volatility that makes DAU noisy for business tools. DAU for a B2B product will drop on weekends and may spike on Mondays, making trend analysis difficult without normalisation. WAU naturally absorbs this weekly cycle, producing a cleaner signal of engagement trends.
The metric is particularly useful for products with weekly workflows: weekly team standups, weekly reports, weekly planning sessions. If your product is built around a weekly rhythm, WAU is the natural measure of whether users are engaging with that rhythm.
WAU is the right engagement metric for products with natural weekly usage patterns. If your users are not expected to log in daily but should engage several times per week, WAU gives you a cleaner signal than DAU or MAU.
How to measure WAU
Count the number of unique users who performed at least one qualifying action within a seven-day window. You can use either a rolling window (the previous seven days from today) or a calendar week (Monday to Sunday or Sunday to Saturday, depending on your convention). Rolling windows produce a daily WAU number that is easier to monitor for trends. Calendar weeks produce a weekly snapshot that is simpler to report.
As with DAU, the qualifying action must be defined explicitly and documented. For a collaboration tool, it might be creating or editing a document. For an analytics product, it might be running a query or viewing a dashboard. For a CRM, it might be logging an activity or updating a deal.
WAU should be segmented to reveal meaningful patterns. Key segments include new users (first week of activity), returning users (active in the previous week and this week), and resurrected users (inactive for multiple weeks, now active again). This segmentation, sometimes called a growth accounting framework, shows whether WAU growth is driven by acquisition, retention, or re-engagement.
| Engagement metric | Window | Best for |
|---|---|---|
| DAU | 1 day | Daily-use products: messaging, social, productivity tools |
| WAU | 7 days | Weekly-use products: project management, analytics, CRM |
| MAU | 30 days | Infrequent-use products: travel, tax, expense reporting |
| DAU/WAU ratio | DAU / WAU | Daily intensity within weekly users. Higher = more daily habit. |
| WAU/MAU ratio | WAU / MAU | Weekly regularity within monthly users. Higher = more weekly habit. |
WAU in a metric tree
WAU decomposes into the sources of weekly engagement: new users activating for the first time, existing users returning from the previous week, and previously inactive users coming back.
The tree shows that sustainable WAU growth depends on the returning users branch. New user acquisition provides one-off contributions to WAU, but only retained users contribute week after week. If WAU is flat despite growing sign-ups, the tree reveals a retention problem: users arrive but do not come back.
The resurrected users branch represents a recovery opportunity. Users who were previously active but lapsed can often be brought back through targeted re-engagement, product improvements, or new feature launches. Tracking this cohort separately helps measure the effectiveness of win-back initiatives.
WAU benchmarks
| Product type | WAU/MAU benchmark | Context |
|---|---|---|
| Collaboration and productivity | 60% to 80% | Strong weekly rhythm driven by work patterns. Most users active multiple weeks per month. |
| Analytics and BI tools | 40% to 60% | Weekly reporting cycles drive regular use but not every week for all users. |
| Project management | 50% to 70% | Sprint-based workflows create consistent weekly engagement. |
| CRM | 40% to 60% | Sales activity is weekly but not all users engage every week. |
| Consumer apps (non-daily) | 30% to 50% | Shopping, fitness, and utility apps with periodic usage patterns. |
The WAU/MAU ratio tells you how many of your monthly users engage every week. A ratio above 60% indicates strong weekly habit formation. Below 40% suggests your product is used sporadically rather than as part of a regular workflow.
How to increase WAU
- 1
Build features around weekly workflows
If your product supports weekly standups, weekly reports, or weekly planning sessions, build features that create a reason to return each week. Automated weekly summaries, scheduled reports, and recurring task templates all reinforce a weekly usage habit.
- 2
Improve week-one activation
Users who experience core value in their first week are far more likely to return in week two. Optimise the onboarding flow to get new users to their first meaningful outcome within the first few sessions. Tracking activation rate at the weekly level helps measure this.
- 3
Send weekly digest emails or notifications
A well-timed weekly summary that shows what happened in the user's workspace, what requires attention, and what their team accomplished gives users a reason to click back into the product every week.
- 4
Reduce friction for returning users
Make it effortless to pick up where the user left off. Remember their last context, surface recent items, and pre-load the view they are most likely to need. Friction at the start of a session is the most common reason users postpone returning.
- 5
Invest in team and collaboration features
Products that embed into team workflows retain at higher rates because usage is reinforced by colleagues. If one team member uses the product, others are pulled in through shared projects, mentions, and collaborative workflows.
Common mistakes with WAU
Using DAU when WAU is the right metric
Forcing a daily metric on a product with weekly usage patterns creates misleading signals. If your users are not expected to engage daily, DAU will always look low and trend analysis will be noisy. Use WAU for products with weekly rhythms.
Defining "active" too loosely
Counting passive events like receiving a notification or having a background sync as active inflates WAU without reflecting genuine engagement. Define active as performing a core action that represents real value.
Not segmenting by user cohort
Aggregate WAU hides whether growth comes from new users, retained users, or resurrected users. Without cohort segmentation, you cannot tell whether WAU growth is sustainable or driven by a one-off acquisition spike.
Ignoring the DAU/WAU ratio
WAU tells you how many users engage weekly. The DAU/MAU ratio and DAU/WAU ratio tell you how intensely they engage. Flat WAU with a declining DAU/WAU ratio means users are returning less frequently within the week, which is an early warning of disengagement.
Related metrics
Daily Active Users
DAU
Product MetricsMetric Definition
DAU = Unique Users Who Performed a Qualifying Action in a Single Day
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.
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.
Track weekly engagement alongside the metrics that drive it
Build a metric tree that connects WAU to activation, retention, and re-engagement so you can see which investments will sustainably grow weekly engagement.