Keyword optimization is a crucial aspect of managing Google Ads campaigns, and one effective method to enhance this process is through the use of Google Ads scripts, specifically for conducting n-gram analyses. This approach allows advertisers to delve deeper into search query performance, providing insights that go beyond the basic reports available in the Google Ads interface. Search query analysis should be a regular task for any search campaign, with frequency depending on traffic volume. While the Google Ads interface offers basic reporting, it can be limiting for in-depth analysis. This is where Google Ads scripts come into play, enabling users to automate tasks and generate more detailed reports. N-grams, which break down search queries into individual words or phrases, can reveal how specific terms perform, helping advertisers make informed decisions about their keyword strategies. To conduct an n-gram analysis, users need to set up a Google Ads script. This involves copying a pre-written script, creating a Google Spreadsheet to store the results, and configuring the script settings, including the date range and the number of words to analyze. The analysis can be tailored to specific campaigns or ad groups, allowing for a focused review of performance. Once the script runs, the results populate the spreadsheet with various tabs for different n-gram levels. This data includes metrics such as cost, clicks, impressions, and conversions, enabling users to filter and analyze performance effectively. For instance, advertisers can identify high-cost queries with no conversions or low-cost queries that yield high conversion rates. This granular insight allows for better decision-making regarding keyword targeting and negative keyword identification. N-gram analysis is particularly valuable for understanding how different terms perform across various levels, such as account, campaign, and ad group. By examining these metrics, advertisers can refine their strategies, optimize their keyword lists, and ultimately improve their campaign performance. Best practices for using n-gram scripts include manually updating the date range for each analysis and ensuring filters are reset after reviewing the data. This ensures that the analysis remains accurate and comprehensive. In summary, leveraging n-gram analysis through Google Ads scripts can significantly enhance keyword optimization efforts. By breaking down search queries into manageable components, advertisers can gain deeper insights into their campaigns, leading to more effective keyword strategies and improved overall performance.