PostHog Metric
Product Analytics
Trend analysis examines how PostHog metrics change over time - daily, weekly, monthly, and quarterly. It identifies growth trajectories, seasonal patterns, and anomalies in product usage, engagement, and conversion metrics to inform strategic decisions and surface issues early.
PostHogProduct AnalyticsTrend Analysis
Trend analysis examines how PostHog metrics change over time - daily, weekly, monthly, and quarterly. It identifies growth trajectories, seasonal patterns, and anomalies in product usage, engagement, and conversion metrics to inform strategic decisions and surface issues early.
Why trend analysis matters for PostHog users
A single data point lacks context. DAU of 5,000 could represent healthy growth from 4,000 or alarming decline from 7,000. Trend analysis transforms static metrics into dynamic narratives about the direction, velocity, and acceleration of change.
Mapping trends into your metric tree adds temporal context to every product metric. When any metric moves, the tree shows whether it is part of a sustained trend, a seasonal pattern, or a genuine anomaly - determining whether to investigate urgently or observe patiently.
Understand and act on trend analysis with KPI Tree
KPI Tree connects historical product data from your warehouse and maps period-over-period comparisons into your tree. Track week-over-week, month-over-month, and year-over-year trends.
Assign RACI ownership to your product analytics lead. Set alerts when trends deviate from expected trajectories and track strategic responses to sustained trend changes.
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
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.
Conversion Rate
Product AnalyticsMetric Definition
Conversion Rate = (Users Completing Action / Total Users in Cohort) x 100
Conversion rate in PostHog measures the percentage of users who complete a defined conversion action - such as signing up, activating a feature, upgrading to a paid plan, or completing a key workflow. It quantifies how effectively your product converts users at each stage of the journey.
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.
Feature Adoption Rate
Product AnalyticsMetric Definition
Feature Adoption Rate = (Users Who Used Feature / Total Eligible Users) x 100
Feature adoption rate measures the percentage of eligible users who have used a specific feature within a defined period after its release or their first login. It quantifies how effectively your product introduces users to new and existing capabilities.
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.
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 ValueUser 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.
