KPI Tree

Google Ads Metric

Paid Advertising

Cross-campaign performance analysis compares key metrics - conversion rate, CPA, ROAS, and revenue contribution - across all campaigns in a Google Ads account. It identifies top-performing and underperforming campaigns to guide budget allocation and strategic investment decisions.

Google AdsPaid Advertising

Cross-Campaign Performance Analysis

Cross-campaign performance analysis compares key metrics - conversion rate, CPA, ROAS, and revenue contribution - across all campaigns in a Google Ads account. It identifies top-performing and underperforming campaigns to guide budget allocation and strategic investment decisions.

Why cross-campaign performance analysis matters for Google Ads users

Individual campaign reporting shows how each campaign performs in isolation. Cross-campaign analysis reveals relative performance - which campaigns deliver disproportionate value and which consume budget without proportionate returns. This portfolio view is essential for efficient budget allocation.

Mapping all campaigns into a single metric tree enables side-by-side comparison on the metrics that matter most. Statistical analysis reveals whether performance differences are significant or within normal variance, preventing knee-jerk budget shifts based on noise.

Understand and act on cross-campaign performance analysis with KPI Tree

KPI Tree connects performance data across all campaigns from your warehouse and maps them into a comparative tree structure. Track relative performance on efficiency, volume, and revenue metrics.

Assign RACI ownership to your paid media director. Set alerts when campaigns underperform relative to portfolio benchmarks and track reallocation decisions against their impact on overall account performance.

Get started with your Google Ads data

Query using MCP
MCP

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

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Google Ads 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 Ads metrics

Budget Allocation Analysis

Paid Advertising

Metric Definition

Budget allocation analysis evaluates how Google Ads spend is distributed across campaigns, ad groups, and audience segments, and how that distribution relates to conversion volume and return on ad spend. It identifies over-invested and under-invested areas to optimise overall portfolio performance.

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Return on Ad Spend

Paid Advertising

Metric Definition

ROAS = Revenue Attributed to Ads / Total Ad Spend

Return on ad spend measures the revenue generated for every pound spent on Google Ads. It provides a direct ratio of revenue to cost that quantifies the financial return of your paid search investment, making it the primary efficiency metric for revenue-focused campaigns.

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Cost per Acquisition

Paid Advertising

Metric Definition

Cost per Acquisition = Total Ad Spend / Total Conversions

Cost per acquisition measures the average amount spent on Google Ads to acquire one conversion. It combines click costs and conversion rates into a single efficiency metric that represents the true cost of each customer action generated through paid search.

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Conversion Rate

Paid Advertising

Metric Definition

Conversion Rate = (Conversions / Clicks) x 100

Conversion rate measures the percentage of Google Ads clicks that result in a defined conversion action - such as a purchase, signup, form submission, or phone call. It quantifies how effectively your ads and landing pages turn paid traffic into measurable business outcomes.

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Campaign Attribution Analysis

Paid Advertising

Metric Definition

Campaign attribution analysis determines the contribution of individual Google Ads campaigns to conversions and revenue across multi-touch customer journeys. It evaluates how different attribution models - last-click, first-click, data-driven, and time-decay - change the perceived value of each campaign.

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Empower your team to understand and act on Google Ads 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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