
The podcast episode centers on N-Gram Analysis for Amazon PPC, emphasizing its importance in advanced search term analysis. It addresses the common issue of wasted ad spend due to numerous low-click search terms. Michael Erickson Facchin suggests that instead of negating individual low-click search terms, advertisers should identify trends by breaking down search terms into individual words or phrases (N-grams). By analyzing the performance of these N-grams, advertisers can discover high-ACOS terms like "metal" to negate, or promising terms like "coffee earn" to focus on. The podcast also highlights advancements to the N-Gram analysis tool, including combining sponsored product and brand data, and integrating campaign and ad group information.
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