Google Analytics Metric
Web Analytics
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.
Full guide: definition, formula, and benchmarksNew User Rate
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.
How to calculate new user rate
Why new user rate matters for Google Analytics users
A site dominated by new users may have strong acquisition but weak retention. A site dominated by returning users may have loyal customers but stagnant growth. The optimal balance depends on your business model, but understanding the ratio is essential for strategic planning.
Mapping new user rate into your metric tree connects acquisition mix to downstream conversion and revenue patterns. New and returning users typically convert at different rates and through different paths, so the ratio directly affects your overall conversion rate.
Understand and act on new user rate with KPI Tree
KPI Tree syncs new vs returning user data from your warehouse and tracks the ratio over time. Position it alongside acquisition and retention metrics in your growth tree.
Assign RACI ownership to your acquisition lead. Set alerts when new user rate shifts significantly and track how acquisition channel changes affect the balance of new versus returning visitors.
Get started with your Google Analytics data
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
Return Visitor Rate
Web AnalyticsMetric Definition
Return Visitor Rate = (Returning Users / Total Users) x 100
Return visitor rate measures the percentage of Google Analytics users who have visited your site before within a defined period. It indicates site stickiness and content value - whether users find enough reason to come back after their initial visit.
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.
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.
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.
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.
Explore new user rate across integrations
All Google Analytics metrics
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.