PostHog Metric
Product Analytics
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.
Full guide: definition, formula, and benchmarksPostHogProduct AnalyticsDaily Active Users
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.
Why daily active users matters for PostHog users
DAU is the pulse of your product. A growing DAU indicates increasing product-market fit and engagement. A declining DAU signals that users are losing interest or finding alternatives. The trend matters more than the absolute number.
Mapping DAU into your metric tree connects it to the features, workflows, and user segments that drive daily usage. Statistical correlations reveal which product capabilities correlate most strongly with daily return behaviour, informing feature investment priorities.
Understand and act on daily active users with KPI Tree
KPI Tree syncs daily active user counts from your warehouse and tracks trends over time. Position DAU alongside weekly and monthly active user metrics in your engagement health tree.
Assign RACI ownership to your product lead. Set alerts when DAU trends decline and track product changes and feature launches against their impact on daily engagement.
Get started with your PostHog data
MCPPull metrics from PostHog directly through the Model Context Protocol.
Connect your existing warehouse where PostHog data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related PostHog metrics
Weekly Active Users
Product AnalyticsMetric Definition
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.
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.
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.
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.
Churn Rate
Product AnalyticsMetric Definition
Churn Rate = (Users Lost During Period / Users at Start of Period) x 100
Churn rate measures the percentage of users who stop using your product within a defined period, based on PostHog event data. It quantifies user attrition by identifying users whose activity drops below a defined threshold, providing a behavioural measure of retention failure.
Explore daily active users across integrations
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateCohort Retention AnalysisConversion RateDrop-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 AnalysisWeekly Active UsersEmpower your team to understand and act on PostHog data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
