#108 - N-Gram Analysis for Amazon PPC: How to Reduce ACOS with Negative Phrase Match Keywords

In this episode of "That Amazon Ads Podcast," Stephen and Andrew delve into the advanced Amazon PPC tactic of N-Grams, which involves analyzing sequences of words in search terms to identify hidden and wasted ad spend. They define N-Grams, differentiating between the classic contiguous definition and their preferred modified broad match approach that allows for reordering of words to uncover more opportunities. They discuss how N-Gram analysis can reveal negative phrase match opportunities by aggregating data across numerous long-tail search terms, which might be missed when looking at individual search term performance. They demonstrate how to use a Google Sheet for N-Gram analysis and showcase AdLabs, a tool that allows for more extensive data analysis over longer date ranges, to identify irrelevant terms, high ACOS keywords, and potential negative keywords like "California" or "battery," ultimately aiming to lower ACOS and improve ad profitability.