How do I define and track weekly active users in a way that is honest for a low-frequency product?
WAU only makes sense if your product is genuinely meant to be used weekly, so for something people naturally touch monthly or per project, forcing a weekly metric just manufactures a bad number. Match your active-user window to your product's natural usage frequency, then measure how many users hit a real value action in that window, not just anyone who opened the app. The right cadence is the one where a drop actually means something is wrong.
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3 resources, 3 link-checked.
✍️ Essay
✓ Link checkedFreeIntermediate
This is the essay that reframes the whole question. Instead of asking whether your DAU/MAU is high enough, it tells you to look at the histogram of how many days per month people actually use the product, and it says plainly that not every product should have a daily-use curve. For a low-frequency product, that is the honest starting point: match the metric to the real shape of usage instead of forcing a daily lens that will always look like failure.
DAU/MAU is a single blunt number that hides the variance in how often your users return; the power user curve shows the full distribution of active days per month.
A flat or right-skewed curve is not automatically bad. Some product categories (professional, investment, and other infrequent-use tools) are healthy at low daily engagement.
Pick a frequency lens that fits how people naturally get value, then track whether a real core segment keeps coming back at that cadence.
Most active-user counts quietly measure app opens, which is exactly the dishonesty this question is trying to avoid. This piece is blunt that opening an app or logging in does not count, and that every product has to name the specific value action that means a user actually got what they came for. It also walks through when DAU, WAU, or MAU is the right window based on your natural usage rhythm, which is the second half of doing this honestly.
Define active by a meaningful value action, not a raw open or login; name the specific event that signals the user got value.
Match the window to natural frequency: daily-use products lean on DAU, asynchronous and content or scheduling tools often read truer on WAU, and genuinely occasional tools on MAU.
A weekly cadence is the honest middle for a low-frequency product, because measuring it daily invents false churn every weekend and measuring it monthly loses too much resolution.
The book behind the "One Metric That Matters" discipline, which is exactly the mindset you need to judge whether a ship worked instead of drowning in vanity numbers. It ties the right metric to your business type and stage, so you know which signal to watch after a launch. Read it as the reference that makes the rest of this list make sense.
