Ad Extensions Performance: Mobile vs. Desktop Ads Analysis

Enhanced Prompt:

Category: Google Ads
SubCategory: Ad Extensions and Ad Customizers

Prompt:

"Analyze and evaluate the performance of ad extensions across mobile and desktop devices, focusing on user interaction, engagement, and conversion rates. This analysis should provide a detailed comparison of key metrics, including Click-Through Rate (CTR), Click-Through Rate on mobile vs. desktop, Return on Ad Spend (ROAS), and user engagement metrics such as time spent on ad, bounce rate, and device-specific conversion rates.

Objective:

1. Identify the differences in user interaction and performance between mobile and desktop ad extensions.
2. Provide actionable recommendations to optimize ad performance across both devices.
3. Ensure the analysis is supported by data and aligns with industry best practices.

Deliverables:

• A comprehensive report including:
  • Performance analysis of ad extensions on mobile vs. desktop.
  • Key metrics and KPIs (e.g., CTR, ROAS, conversion rates, user engagement).
  • Identified trends and patterns in user behavior.
  • Recommendations for improving ad performance on both mobile and desktop.
  • A phased implementation plan for addressing gaps.

Industry Best Practices and Standards:

• Conduct A/B testing of ad creatives and formats across devices.
• Use A/B split testing for ad creatives to ensure optimal performance.
• Test ad extensions across multiple devices and screen sizes.
• Follow mobile-first design principles for mobile-optimized ads.
• Conduct responsive testing to ensure consistency across devices.

Quality Expectations:

• Minimum CTR on mobile devices: [X]% (specify based on campaign goals).
• Minimum ROAS: [Y]x (specify based on campaign objectives).
• Conversion rate improvement on desktop: [Z]% (specify based on baseline).
• User engagement metrics (e.g., time spent on ad, bounce rate) should meet or exceed benchmarks.

Technical Considerations:

• Analyze device characteristics: screen size, resolution, operating system, browser version, and device capabilities.
• Identify factors affecting user interaction: battery life on mobile devices, ad optimization settings, and ad placement relevance.
• Use tools like Google Ad Manager, Google Analytics, and custom audiences to track and analyze performance.

**Potential Chal