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The Architecture of PPC Campaigns via The Hybrid Methodology

Welcome to Basilio Inc. Architecture of PPC Campaigns via The Hybrid Methodology. If you’re thinking about starting up your own business as an Amazon seller, stick around, because you’ve come to the right place. 

In this comprehensive guide,  you’ll learn how to navigate the complexities of Amazon advertising with precision, managing budgets, bidding strategies, and target audiences to drive meaningful and measurable outcomes. Master some of our Amazon advertising strategies  through skillful planning and organization, capitalizing on opportunities to fuel sales growth on the platform. 

Chapter 1 – Architecture Influences Data Driven Decisions

Campaign architecture is a critical factor that greatly influences the success of advertising campaigns on Amazon. By determining the data visibility accessible to advertisers, it directly impacts their ability to optimize and fine-tune their campaigns for improved performance. To provide advertisers with the most actionable data, adopting a one-product-per-ad-group strategy becomes imperative. This approach allows for a more granular examination of essential factors influencing campaign performance, including product price, margin, rank, relevant keywords, target advertising cost of sale (ACOS), ideal cost-per-click (CPC), inventory levels, and campaign goals like brand awareness or ACOS minimization.

Amazon’s Campaign Manager offers keyword reports at the ad group level, making it crucial to structure campaigns with one product per ad group. This empowers advertisers to perform search term optimization at a product-specific level, ensuring accurate insights into individual product performance. On the other hand, ad groups containing multiple products may lead to suboptimal decisions based on aggregated data, inadvertently favoring some products while negatively impacting others. The one-product-per-ad-group architecture allows for informed and tailored optimizations for each product, maximizing its potential without compromising other products’ performance within the same campaign.

In conclusion, optimizing campaign architecture to prioritize one product per ad group unlocks valuable data insights for advertisers. Focusing on individual product-level analysis enables advertisers to address specific challenges and opportunities within their campaigns. Retaining visibility into critical factors such as pricing, keywords, ACOS, and inventory levels empowers advertisers to adapt their strategies effectively for each product’s unique requirements. This data-driven approach leads to improved overall campaign performance and increased return on advertising investment, positioning advertisers for success in Amazon’s competitive marketplace.

Variables to Consider when Launching Your Ad Campaigns

Per Product Level You Must Consider The Following:

  • Price
  • Margin
  • Rank
  • Keywords
  • Target ACOS
  • Ideal CPC
  • Inventory levels
  • Goals

Meet the Author

CEO, Founder

Jerome Basilio

Chapters