KPI Tree

Metric Definition

WAU

WAU = Unique Users Who Performed a Qualifying Action in a 7-Day Period
Unique UsersDistinct user accounts or identifiers
Qualifying ActionA meaningful interaction with the product (defined per product)

Track from

Metric GlossaryProduct Metrics

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.

7 min read

Generate AI summary

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 metricWindowBest for
DAU1 dayDaily-use products: messaging, social, productivity tools
WAU7 daysWeekly-use products: project management, analytics, CRM
MAU30 daysInfrequent-use products: travel, tax, expense reporting
DAU/WAU ratioDAU / WAUDaily intensity within weekly users. Higher = more daily habit.
WAU/MAU ratioWAU / MAUWeekly 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 typeWAU/MAU benchmarkContext
Collaboration and productivity60% to 80%Strong weekly rhythm driven by work patterns. Most users active multiple weeks per month.
Analytics and BI tools40% to 60%Weekly reporting cycles drive regular use but not every week for all users.
Project management50% to 70%Sprint-based workflows create consistent weekly engagement.
CRM40% 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. 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. 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. 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. 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. 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.

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.

Experience That Matters

Built by a team that's been in your shoes

Our team brings deep experience from leading Data, Growth and People teams at some of the fastest growing scaleups in Europe through to IPO and beyond. We've faced the same challenges you're facing now.

Checkout.com
Planet
UK Government
Travelex
BT
Sainsbury's
Goldman Sachs
Dojo
Redpin
Farfetch
Just Eat for Business