Google Analytics Metric
Web Analytics
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.
Traffic Source Analysis
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.
Why traffic source analysis matters for Google Analytics users
Not all traffic is equal. A session from organic search may convert at 5% while a session from social media converts at 0.5%. Understanding source quality transforms your channel investment strategy from chasing volume to optimising value.
Mapping traffic source metrics into your metric tree reveals which channels drive business outcomes proportionate to their investment. Statistical correlations show which sources deliver users who convert, retain, and generate lifetime value - not just those who visit.
Understand and act on traffic source analysis with KPI Tree
KPI Tree connects source-segmented analytics from your warehouse and maps engagement and conversion metrics per channel into your tree. Compare channels by conversion rate, revenue contribution, and user quality.
Assign RACI ownership to channel-specific leads - SEO, paid, social, email. Set alerts when channel performance shifts and track investment reallocation decisions based on source-level evidence.
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Pull 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
Attribution Modelling
Web AnalyticsMetric Definition
Attribution modelling assigns credit for conversions to the marketing channels and touchpoints that contributed to them within Google Analytics. It evaluates how different models - last-click, first-click, linear, time-decay, and data-driven - change the perceived value of each channel in your acquisition mix.
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.
Audience Segmentation
Web AnalyticsMetric Definition
Audience segmentation divides Google Analytics users into distinct groups based on demographics, behaviour, technology, or acquisition source. It enables comparison of how different user segments interact with your site and convert, revealing which audiences deliver the most value.
User Acquisition Cost
Web AnalyticsMetric Definition
User Acquisition Cost = Total Marketing Spend / New Users Acquired
User acquisition cost measures the average cost to acquire a new user to your website by combining Google Analytics traffic data with marketing spend data. It calculates the cost per new visitor or per converting user across channels to evaluate acquisition efficiency.
Campaign Performance ROI
Web AnalyticsMetric Definition
Campaign ROI = ((Campaign Revenue - Campaign Cost) / Campaign Cost) x 100
Campaign performance ROI measures the return on investment for marketing campaigns tracked in Google Analytics by comparing attributed revenue or conversion value against campaign costs. It evaluates the financial effectiveness of campaigns across all channels - paid, email, social, and referral.
All Google Analytics metrics
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