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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 2 – Hybrid Methodology

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  • Limited individual product margin and price optimization: The method lacks the ability to fine-tune and optimize campaigns for each product’s specific margin and price, potentially affecting overall profitability.
  • Inefficient spending risk: When a product goes out of stock, the campaign may continue bidding on keywords, leading to wasteful spending on irrelevant or less effective terms for other products within the same ad group.
  • Lack of insight into conversion-driving search terms: Advertisers face the challenge of not being able to pinpoint which search terms result in conversions for specific products, making it difficult to identify and focus on high-performing keywords.
  • Inability to exclude search terms from broader match types: The method lacks the functionality to exclude certain search terms from Broad Match or Phase Match types when adding Exact Match keywords, hindering relevancy and cost-efficiency optimization efforts.

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  • Limited capability to exclude search terms from Broad Match or Phase Match types when adding them as Exact Match keywords. This can lead to less precise targeting and potentially inefficient ad spend.

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  • Limited ability to optimize for each product’s margin and price individually: With multiple products grouped together under one match type, advertisers lose the opportunity to tailor bids and optimizations specifically for each product’s unique pricing and margin requirements. This can result in suboptimal performance and missed opportunities to maximize profitability.
  • Risk of inefficient spending: When one of the products in the ad group goes out of stock, the campaign continues to bid on keywords for that product, even if they are no longer relevant or cost-effective. This leads to wasted ad spend and can negatively impact the overall return on advertising investment.
  • Lack of visibility into conversion-driving search terms for specific products: When multiple products share the same match type, it becomes challenging to attribute conversions to specific search terms. This lack of visibility makes it difficult for advertisers to identify which keywords are driving sales for each product, hampering their ability to make data-driven optimizations and refine their targeting strategies.

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  • The method allows for comprehensive optimization tailored to each product’s margin and price, ensuring that advertising strategies align with individual product goals and profitability.
  • One of the key advantages is the automatic ad suspension feature, which prevents ads from running when a product goes out of stock. This eliminates wasteful ad spend on products that are temporarily unavailable, optimizing the budget for active and relevant products.
  • With this approach, advertisers gain clear visibility into the search terms that led to conversions for each product. This valuable data insight enables better keyword optimization, empowering advertisers to focus on high-performing keywords and refine their targeting strategy.
  • Another significant benefit is the ability to negate search terms from Broad Match or Phrase Match types when adding them as Exact Match keywords. This practice enhances relevancy and cost-efficiency, as ads will only be triggered for specific and highly relevant search terms, resulting in a more targeted audience and potentially higher conversion rates.

Meet the Author

CEO, Founder

Jerome Basilio