PostHogProduct AnalyticsMonthly Active Users
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.
PostHog metric
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.
Full guide: definition, formula, and benchmarksWhy Monthly Active Users matters for PostHog users
MAU represents the total addressable audience for your product's features, upgrades, and monetisation. A growing MAU indicates expanding reach. A stagnant MAU despite strong acquisition suggests a retention problem - you are adding users as fast as you lose them.
Mapping MAU into your metric tree alongside DAU and WAU reveals engagement depth. The DAU/MAU ratio (stickiness) shows what proportion of your monthly users are daily users. This ratio is often more meaningful than MAU alone for understanding product health.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Monthly Active Users with KPI Tree
KPI Tree syncs monthly active user counts from your warehouse and tracks trends alongside other engagement metrics. Position MAU as a top-level metric in your growth tree.
Assign RACI ownership to your VP Product or growth lead. Set alerts when MAU trends flatten or decline and track acquisition, retention, and reactivation initiatives against their MAU impact.
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 Ready to add to your trees.
Daily Active Users
Product AnalyticsDaily 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.
View metricWeekly Active Users
Product AnalyticsWeekly 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.
View metricChurn Rate
Product AnalyticsChurn 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.
View metricUser Retention Rate
Product AnalyticsRetention 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.
View metricFeature Stickiness
Product AnalyticsFeature 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.
View metricExplore Monthly 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 RatePage/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
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