PostHog Metric
Product Analytics
Weekly active users counts the unique users who trigger at least one qualifying event in PostHog within a 7-day period. It provides a mid-range engagement measure between daily and monthly activity, capturing users who engage regularly but not necessarily every day.
Full guide: definition, formula, and benchmarksPostHogProduct AnalyticsWeekly Active Users
Weekly active users counts the unique users who trigger at least one qualifying event in PostHog within a 7-day period. It provides a mid-range engagement measure between daily and monthly activity, capturing users who engage regularly but not necessarily every day.
Why weekly active users matters for PostHog users
Not every product is designed for daily use. A project management tool may see weekly patterns as users check in at the start of each sprint. A reporting tool may peak on Mondays. WAU captures these natural usage rhythms that DAU may undercount and MAU may oversmooth.
Mapping WAU into your metric tree alongside DAU and MAU reveals your product's natural usage cadence. The WAU/MAU ratio shows what proportion of monthly users are weekly users, indicating whether your product fits into regular workflows or is used sporadically.
Understand and act on weekly active users with KPI Tree
KPI Tree syncs weekly active user counts from your warehouse and tracks trends alongside DAU and MAU. Position WAU in your engagement health tree for a complete activity picture.
Assign RACI ownership to your product lead. Set alerts when WAU trends diverge from DAU or MAU trends, which may indicate changing usage patterns, and track product changes against their weekly engagement impact.
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Related PostHog metrics
Daily Active Users
Product AnalyticsMetric Definition
Daily active users counts the unique users who trigger at least one qualifying event in PostHog within a calendar day. It serves as the foundational measure of product engagement, indicating how many users find enough value in your product to return and use it daily.
Monthly Active Users
Product AnalyticsMetric Definition
Monthly active users counts the unique users who trigger at least one qualifying event in PostHog within a 30-day period. It provides a broad measure of your product's reach and the size of your engaged user base, serving as a primary growth indicator.
Session Frequency
Product AnalyticsMetric Definition
Average Session Frequency = Total Sessions / Unique Users (per period)
Session frequency measures how often individual users return to your product within a defined period, based on PostHog session data. It distinguishes between users who visit daily, weekly, or sporadically, revealing the cadence of habitual product usage.
Feature Stickiness
Product AnalyticsMetric Definition
Feature Stickiness = (Feature DAU / Feature MAU) x 100
Feature stickiness measures the ratio of daily active users to monthly active users for a specific feature, expressed as a percentage. A higher ratio indicates that users who discover a feature return to use it regularly, suggesting it provides ongoing value rather than one-time utility.
User Retention Rate
Product AnalyticsMetric Definition
Retention Rate = (Users Active in Period / Users Active in Previous Period) x 100
User retention rate measures the percentage of users who return to your product within a defined period after their first use, based on PostHog event data. It is the inverse of churn and the primary indicator of whether your product delivers sustained value over time.
Explore weekly active users across integrations
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateCohort Retention AnalysisConversion RateDaily Active UsersDrop-Off AnalysisEvent Frequency AnalysisFeature Adoption RateFeature Flag Impact AnalysisFeature StickinessFunnel Conversion AnalysisGoal Completion RateMonthly Active UsersPage/Screen ViewsSession DurationSession FrequencySurvey Response AnalysisTime Between EventsTime to First ValueTrend AnalysisUser Activation RateUser Flow AnalysisUser Journey AnalysisUser Retention RateUser Segmentation AnalysisEmpower your team to understand and act on PostHog data
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