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Overview

The Paid Search Performance Report is broken down by date, country, platform, campaign type, campaign, and ad group - enabling you to analyse performance from high-level platform strategy down to individual ad group targeting and keywords. Campaign types are automatically classified (Brand, Performance Max, Demand Gen, YouTube, Shopping, Generic) based on naming conventions to help you quickly segment and compare different campaign strategies. Use this report to compare Google Ads vs. Bing Ads performance, analyse brand vs. non-brand efficiency, optimise budget allocation across campaign types, track new customer acquisition vs. repeat purchases, and calculate true profitability including COGS and fees.

Data Dictionary

Fields and their respective definitions available within this report.

Identifiers & Dimensions

Platform Metrics

Session Metrics (GA4 Attributed)

Order Metrics

Financial Metrics

Cost Metrics

Contribution Margin Metrics

Questions This Report Answers

Compare platform metrics, CAC, ROAS, and profitability between Google Ads and Bing Ads to understand which platform delivers better efficiency. Analyse whether you should increase or decrease budget allocation between platforms based on true profitability metrics.
Segment by campaign type to compare Brand campaigns against Generic, Shopping, and other non-brand campaign types. Analyse CAC, conversion rates, and ROAS to understand the role each plays in your acquisition funnel and optimise budget allocation accordingly.
Compare Performance Max, Demand Gen, Shopping, Brand, Generic, and YouTube campaigns across new customer acquisition metrics. Identify which campaign types drive the lowest CAC and highest-quality new customers for scaling opportunities.
Analyse subscription order acquisition by campaign type to identify which strategies drive subscription adoption vs. one-time purchases. Compare the long-term value potential of customers acquired through different campaign types.
Calculate CM1, CM2, and CM3 at the ad group level to understand profitability after COGS, payment processing fees, and ad spend. Identify which ad groups drive profitable growth vs. which are spending inefficiently despite appearing to have good ROAS.
Segment by country code to understand geographic performance differences. Compare CAC, conversion rates, AOV, and profitability across markets to optimise geo-targeted campaigns and budget allocation by region.
Drill down from campaign to ad group level to identify top-performing targeting, keywords, or audience segments. Compare ad group CAC, conversion rates, and ROAS to reallocate budget within campaigns for better efficiency.
Compare platform-reported ‘Conversions’ and ‘Conversion Value’ metrics with GA4-attributed orders and revenue to understand discrepancies in conversion tracking. Identify campaigns with larger attribution gaps to improve measurement and optimisation decisions.
Analyse video views alongside conversion metrics for YouTube campaigns to understand video engagement effectiveness. Compare CPU, CPNU, and conversion rates for video campaigns vs. other campaign types.
Compare spend distribution across Brand, Generic, Shopping, Performance Max, and other campaign types against their respective CAC, ROAS, and contribution margins. Identify opportunities to reallocate budget from low-performing to high-performing campaign types for better overall account efficiency.