Ad Copy Performance Analysis | Device-Specific Ad Copy Optimization

Enhanced Prompt:

Prompt Title:
Ad Copy Performance Analysis: Optimize for Mobile, Desktop, and Tablet

Prompt Overview:
To enhance the effectiveness of your Google Ads campaign, it is essential to analyze and optimize your ad copy for different device categories (mobile, desktop, tablet). This task involves examining key performance indicators (KPIs) and recommending tailored strategies to improve ad performance and engagement across these devices.

Objective:

1. Conduct a detailed analysis of ad copy performance across mobile, desktop, and tablet devices.
2. Identify device-specific trends, challenges, and opportunities to improve ad performance.
3. Develop actionable recommendations for optimizing ad copy and ad extensions for each device category.
4. Deliver measurable improvements in CTR (Click-Through Rate), conversions, and MROnV (Minutes on View) across devices.

Deliverables:

1. A comprehensive analysis report detailing KPIs, including but not limited to CTR, conversion rates, and MROnV for each device category.
2. Data-driven recommendations for optimizing ad copy and ad extensions for mobile, desktop, and tablet.
3. Tested and validated strategies for enhancing ad performance across different devices.
4. Suggested A/B testing plans and ad extensions for device-specific optimization.

Industry Best Practices and Standards:

1. Optimize ad copy based on device-specific trends and user behavior.
2. Ensure ad copy clarity, brevity, and relevance to the target audience for each device.
3. Test ad copy across all supported Google Ads platforms (Google, Facebook, Instagram).
4. Implement a balance between text and visuals to maintain readability and visual appeal.

Technical Considerations:

1. Analyze device specifications (minimum screen size, required video resolution, and supported ad formats).
2. Identify supported Google Ads platforms and their device requirements.
3. Test ad copy across all supported device categories and screen sizes.
4. Monitor and optimize ad performance for responsive ad extensions.

Quality Expectations:

1. Ad copy recommendations should be designed for readability and comprehension, incorporating the "cliff effect" where compelling results are wasted if the ad is too long.
2. Provide device-specific testing criteria and pass/fail metrics.
3. Ensure recommendations address real-time performance and ablation testing.
4. Tailor strategies to maintain ad performance across different device categories and resolutions.

**Scalability and Future Ma