KPI Tree

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.

Google AnalyticsWeb Analytics

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.

Get started with your Google Analytics data

Query using MCP
MCP

Pull metrics from Google Analytics directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Google Analytics data already lands.

Professional Services
FivetranSnowflakedbt

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 Analytics

Metric 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.

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Conversion Rate

Web Analytics

Metric 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.

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Audience Segmentation

Web Analytics

Metric 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.

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User Acquisition Cost

Web Analytics

Metric 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.

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Campaign Performance ROI

Web Analytics

Metric 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.

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Empower 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.

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