Google Analytics Metric
Web Analytics
Time-based trend analysis examines how Google Analytics metrics change over days, weeks, months, and years. It identifies growth trajectories, seasonal patterns, and anomalies in traffic, engagement, and conversion metrics to inform strategic planning and immediate response.
Google AnalyticsWeb AnalyticsTime-Based Trend Analysis
Time-based trend analysis examines how Google Analytics metrics change over days, weeks, months, and years. It identifies growth trajectories, seasonal patterns, and anomalies in traffic, engagement, and conversion metrics to inform strategic planning and immediate response.
Why time-based trend analysis matters for Google Analytics users
A single data point is meaningless without trend context. A 5% conversion rate could be excellent if it was 3% last quarter, or alarming if it was 7%. Trend analysis transforms static metrics into dynamic stories about the direction and velocity of change.
Mapping trends into your metric tree adds temporal context to every metric. When any metric moves, the tree shows whether the change is part of a trend, a seasonal pattern, or a genuine anomaly - determining whether it requires investigation or is expected behaviour.
Understand and act on time-based trend analysis with KPI Tree
KPI Tree connects historical analytics 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 analytics lead. Set alerts when trends deviate from expected patterns and track strategic responses to sustained trend changes.
Get started with your Google Analytics data
MCPPull metrics from Google Analytics directly through the Model Context Protocol.
Connect your existing warehouse where Google Analytics 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 Google Analytics metrics
Cohort Analysis
Web AnalyticsMetric Definition
Cohort analysis groups Google Analytics users by their acquisition date or shared characteristic and tracks their behaviour over time. It reveals how engagement, retention, and conversion patterns evolve for different user groups, distinguishing between changes in user quality and changes in product experience.
Conversion Rate
Web AnalyticsMetric Definition
Conversion Rate = (Conversions / Sessions) x 100
Conversion rate measures the percentage of Google Analytics sessions or users that complete a defined conversion event - such as a purchase, signup, form submission, or key feature interaction. It quantifies how effectively your website turns visitors into customers or leads.
Traffic Source Analysis
Web AnalyticsMetric Definition
Traffic source analysis examines how different acquisition channels - organic search, paid search, direct, referral, social, and email - contribute to sessions, engagement, and conversions in Google Analytics. It evaluates channel quality beyond volume by connecting source-level metrics to downstream outcomes.
Session Duration
Web AnalyticsMetric Definition
Average Session Duration = Total Session Time / Total Sessions
Session duration measures the average time users spend on your site during a single Google Analytics session. In GA4, it is calculated as the time between the first and last event in a session, providing a measure of how long users actively engage with your content.
New User Rate
Web AnalyticsMetric Definition
New User Rate = (New Users / Total Users) x 100
New user rate measures the percentage of Google Analytics users who are visiting your site for the first time within a given period. It indicates the balance between acquisition of new audiences and retention of existing ones, revealing the composition of your traffic.
All Google Analytics metrics
Attribution ModellingAudience SegmentationBounce RateCampaign Performance ROICohort AnalysisContent Performance AnalysisConversion RateCustom Event Conversion RateEvent Tracking RateExit RateFunnel AnalysisGeographic PerformanceGoal Completion RateMobile vs Desktop PerformanceNew User RatePage Load Time ImpactPages per SessionReal-Time MonitoringReturn Visitor RateSearch Query PerformanceSession DurationTraffic Source AnalysisUser Acquisition CostUser Flow AnalysisEmpower your team to understand and act on Google Analytics data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
