Google AnalyticsWeb AnalyticsReal-Time Monitoring
Real-time monitoring tracks live Google Analytics data - current active users, pages being viewed, events firing, and conversions happening - as they occur. It provides immediate visibility into site activity during campaigns, launches, incidents, and normal operations.
Google Analytics metric
Real-time monitoring tracks live Google Analytics data - current active users, pages being viewed, events firing, and conversions happening - as they occur. It provides immediate visibility into site activity during campaigns, launches, incidents, and normal operations.
Full guide: definition, formula, and benchmarksWhy Real-Time Monitoring matters for Google Analytics users
Real-time data is critical during campaign launches, product releases, and incident response. Knowing that a campaign just drove a traffic spike is valuable. Knowing that those visitors are bouncing at 90% is actionable. Real-time monitoring turns awareness into intervention speed.
Connecting real-time signals to your metric tree enables immediate context. When live traffic spikes, you see not just the volume but which tree branches are affected - is it driving engagement, conversions, or just page views? This context determines whether to celebrate or investigate.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Real-Time Monitoring with KPI Tree
KPI Tree connects to your warehouse on a configurable sync schedule. While not truly real-time, high-frequency syncs provide near-live visibility into key metrics with statistical context and tree positioning.
Assign RACI ownership to your operations or marketing team for real-time monitoring during launches. Set alerts for anomalous traffic patterns and track responses to real-time incidents.
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 Ready to add to your trees.
Traffic Source Analysis
Web AnalyticsTraffic 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.
View metricConversion Rate
Web AnalyticsConversion 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.
View metricBounce Rate
Web AnalyticsBounce Rate = (Single-Page Non-Engaged Sessions / Total Sessions) x 100
Bounce rate measures the percentage of Google Analytics sessions where the user viewed only a single page and triggered no additional events before leaving. In GA4, it is the inverse of engagement rate - a bounced session is one that was not engaged, meaning it lasted less than 10 seconds, had no conversion event, and had fewer than 2 page views.
View metricEvent Tracking Rate
Web AnalyticsEvent Tracking Rate = (Sessions with Event / Total Sessions) x 100
Event tracking rate measures the percentage of sessions that trigger specific GA4 events, indicating how actively users interact with tracked elements on your site. It serves as both an engagement indicator and an instrumentation health metric, revealing whether your tracking captures the interactions that matter.
View metricSession Duration
Web AnalyticsAverage 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.
View metricExplore Real-Time Monitoring across integrations
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 SessionReturn Visitor RateSearch Query PerformanceSession DurationTime-Based Trend AnalysisTraffic 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.
