Google Ads for E-commerce: Audience Exclusions & Ad Targeting

Enhanced Prompt:

Objective:
Conduct a comprehensive analysis of e-commerce campaign data to evaluate the impact of audience exclusions on ad delivery and targeting. The goal is to identify opportunities for optimizing audience targeting strategies to enhance campaign performance, improve ROI, and achieve business objectives.

Deliverables:

1. A detailed report outlining the analysis of audience exclusions, including:

   • Data extraction and analysis of audience overlap between target and non-target audiences.
   • Identification of exclusions that negatively impact ad delivery and targeting.
   • Recommendations for refining audience targeting strategies.
   • Quantitative analysis of the impact of exclusions on key metrics (e.g., CTR, ROAS, conversion rates, bounce rates).
   • Suggested adjustments to audience lists, ad copy, and ad formats to mitigate exclusionary effects.

2. A set of actionable recommendations tailored to improve ad delivery, targeting efficiency, and overall campaign performance.

Best Practices and Industry Standards:

• Utilize Google Analytics and Ad Manager tools for accurate data extraction and analysis.
• Adhere to Google Ads best practices, including the use of official audience segments and compliance with privacy standards.
• Follow industry standards for audience targeting, including the use of negative lookalike audiences and overlap analysis.

Technical Considerations:

• Extract and analyze data from Google Analytics, Ad Manager, and Display Planner.
• Use tools like Google Data Studio, Display Optimization Dashboard, and manual cross-tabulation for detailed analysis.
• Focus on metrics such as Click-Through Rate (CTR), Return on Ad Spend (ROAS), conversion rates, and bounce rates t