Campaign Performance Analysis | Google Ads Insights & Metrics

Enhanced Prompt: Comprehensive Google Ads Campaign Performance Analysis

Objective:

• Analyze the performance of our last three Google Ads campaigns, focusing on three consecutive marketing cycles (e.g., 90 days).
• Identify key metrics, insights, and strategies to improve overall campaign effectiveness.
• Provide actionable recommendations based on industry best practices and comprehensive analysis.

Deliverables:

1. A concise summary report highlighting key metrics and performance trends.

2. Detailed analysis of KPIs including Cost Per Click (CPC), Click-Through Rate (CTR), Return on Ad Spend (ROAS), and Metrics like毛 tweet impressions (M宣), 局部点击率（CTR），局部分支（MRC），局部分支相对增长率（MRRGR）, 局部转化率（CTR），局部分支变动幅度（Wilson Marginal Click-Through Rate）, 局部转化率变动幅度（Wilson Marginal Conversion Rate）, 局面预测值（Current Estimate）、局面目标值（Target Estimate）, 局面igraph预测值（Wilson igraph Forecast）、局面igraph目标值（Target igraph Forecast）, 局 mocks和假设值（Simulated Values）, 局部预算分配（Budget Allocation）, 局部投放时间分布（投放时间分布）, 轮廓分析（Segmentation Analysis）, 竞争对手分析（Competitor Analysis）, Conversion Tracking (CTA Tracking), Landing Page Performance, and Audience Demographics.

3. A clear, data-driven report with actionable recommendations for optimizing future campaigns.

4. Visualizations (charts, graphs, tables) to present data in an accessible and insightful manner.

5. A testable and maintainable report that addresses scalability and future maintenance.

Best Practices:

• Utilize and interpret common metrics such as CTR, CPC, ROAS, MRRGR, MRC, Wilson Marginal CTR, Wilson Marginal Conversion Rate, Wilson igraph Forecast, Budget Allocation,投放时间分布, Segmentation Analysis, CTA Tracking, Landing Page Quality, GDPR Compliance, and A/B Testing.

Technical Considerations:

• Review投放时间 and audience targeting.
• Analyze ad copy, visuals, and call-to-action buttons.
• Examine landing page quality and conversion tracking.
• Conduct a post-campaign audit of device imbalances, date effects, keyword stuffing, and keyword quality.

Challenges and Solutions:

• Address data inconsistencies, missing data, or anomalies.
• Investigate external factors such as seasonality, economic conditions, or current events that may have influenced performance.
• Implement robust data cleaning and quality control processes.
• Conduct