Weekly active users usually shortened to WAU is the number of unique users who meet your definition of active and interact with your product during any rolling period of seven days.
It is a core engagement signal for products that are meant to be used weekly such as analytics tools, collaboration platforms, financial planning apps, learning products, and many B2B services.
WAU is simple to state but easy to misuse. The real value comes from how clearly you define an active user and how consistently you track that definition over time.
An active user is anyone who performs at least one meaningful action inside your product within a chosen time window.
What counts as meaningful depends on your business. Examples:
Weekly active users WAU is simply the count of unique users who perform at least one of these actions during a seven day period.
WAU always includes both new users and returning users. Each person is counted once for that week no matter how many times they come back.
To avoid double counting, you identify users through stable identifiers such as:
In practice teams often combine several identifiers and resolve them into a single profile when they use an analytics platform such as Grovs.
Conceptually the formula is:
WAU equals the number of unique users who meet your active criteria within a seven day window
A simple process looks like this:
Suppose you define an active user as anyone who performs at least one tracked interaction such as swipe, click, or scroll.
During a given week you see:
Here your weekly active users are:
So WAU for that week equals three.
Active user metrics use different windows depending on how often you expect people to use the product.
Unique users who are active in a single twenty four hour window. Common for messaging, gaming, and social products.
Weekly active users WAU
Unique users active in any seven day window. Fits tools that feel like part of a weekly rhythm such as analytics, planning, or some learning apps.
Unique users active in a thirty day window. Useful for products that are naturally used a few times a month such as travel, some finance tools, and utilities.
For many teams, all three matter. DAU shows short term spikes and dips, WAU smooths them, and MAU reveals the broader base of regularly returning users.
WAU is much more than a vanity number. Used correctly it helps you understand:
Product market fit and app health
If the product genuinely solves a recurring problem, people will come back. Growing WAU suggests your product is becoming part of user habits. Stagnant or falling WAU is an early warning signal even if acquisition looks strong.
Customer engagement
WAU answers the question
Are people still using us after they sign up
By segmenting WAU by cohort or plan type you can spot which audiences are engaged and which need better onboarding, education, or features.
Stickiness
Stickiness captures how often users return relative to the size of your active base. A common approach is DAU divided by MAU, but you can also use DAU divided by WAU to look at weekly stickiness.
Higher stickiness means people do not just come once, they keep coming back, which tends to correlate strongly with retention and lifetime value.
Forecasting and planning
WAU is often used in revenue models, capacity planning, and roadmap decisions since it reflects the engaged base that can convert to paid, upgrades, or cross sell in the future.
Analytics platforms like Grovs help by letting you break down WAU by channel, device, plan, geography, and many other dimensions.
Improving WAU is not about chasing any activity. It is about encouraging the right recurring actions that create value for users and for the business.
Here are practical levers.
First, check that your active definition truly reflects your core value.
Use a primary definition for reporting and a more detailed set of behavioral segments for analysis.
Many users drop off in the first week. You can increase WAU by:
Push notifications, email, and in app messages can be powerful, but only when they deliver real value.
Tools like Grovs can feed real engagement data into your messaging stack so that you contact users based on what they actually do, not guesses.
Every time a user comes back, the product should feel a little more useful.
Ideas include:
Bugs, slow screens, or confusing flows quietly kill WAU. Watch:
Combine quantitative data from Grovs with qualitative feedback to spot and remove these blockers.
Using it as a single success metric
WAU is important but incomplete. It should be read together with retention, conversion, revenue, and qualitative signals.
Changing the active definition without recording it
If you adjust what counts as active but do not log the change, your historical WAU trend becomes misleading. Always document and communicate changes.
Ignoring user mix
You might see WAU rise simply because you acquired many new users, while older cohorts shrink quietly. Cohort views fix this by showing WAU by signup period.
Weekly active users WAU is the count of unique users who perform at least one meaningful action in your product during a seven day window.
Your definition of active is the foundation of useful WAU tracking and should match your core value and business goals.
Together with DAU and MAU, WAU helps you measure engagement, stickiness, and product health.
Growing WAU driven by genuine usage usually signals better retention, monetization potential, and long term value.
You can increase WAU through better onboarding, thoughtful messaging, personalization, and by removing friction in key flows, all informed by reliable analytics from tools like Grovs.
It depends on your product. In general an active user is someone who performs at least one action that reflects real engagement with your core value, such as creating content, viewing data, completing a level, or making a transaction. Simply opening the app might be enough for an early stage product but many mature teams choose a more specific action.
DAU looks at one day, WAU looks at seven days, MAU looks at thirty days. DAU is very sensitive to short term changes, MAU is more stable, and WAU sits between them, which works well for weekly use products.
You usually want both. In practice, healthy sustainable revenue almost always requires strong recurring engagement. WAU helps you see that engagement, but it should be evaluated together with revenue and margins, not alone.
Most teams that care about weekly usage review WAU at least once a week, often in a recurring product or growth meeting. Some dashboards refresh WAU daily using a rolling seven day window to highlight trends earlier.
Use a consistent user id across devices and sign in flows. When the same person logs in on mobile and desktop with the same account, they should be counted once in WAU. Analytics platforms such as Grovs help with this identity stitching.
A rising WAU is usually positive, but context matters. If the new activity comes from unqualified users or from incentives that do not create long term value, it can inflate WAU without improving the business. Always check who is active and what they are doing.
Yes. Any digital product with recurring usage can track weekly active users, whether it is an app, a web platform, or a hybrid product.