Search Analytics is a feature that enables easy and fast analysis using Google's native Search Console data. For large-scale sites, it's essential to analyze queries and URLs as groups rather than individually. Search Analytics' key advantage is that anyone can easily create this analysis environment without relying on engineers, while enjoying fast, stress-free results display.
<aside> 🎣 Google's official Search Console has a display limit, which makes it difficult to analyze large-scale sites. Amethyst has no such limits, allowing you to analyze sites with high query counts and URL volumes.
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While BI tools and dashboards like Looker Studio can perform similar analysis, they come with constraints such as requiring engineering resources and limitations in processing large-scale data. Search Analytics offers two major advantages: "you can set up your analysis environment immediately without engineering support" and "you can analyze large-scale data smoothly and efficiently.”
You can create and organize multiple "views" based on different analysis dimensions like branded queries, non-branded queries, device types, and more. This allows you to spot changes in your most important queries at a glance.
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Start by setting up your BigQuery connection. After the connection is complete, create a new project using the ➕ (plus) button in the left sidebar menu.
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About "Projects" and How to Organize Them
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Once you've created a project, click "All" in the left sidebar. This is your main dashboard where you can apply filters and start analyzing your data.
You can apply various filters such as branded/non-branded queries, device type (desktop/mobile), search result display type, and more. Once you've applied your filters, save your view by clicking "Save as View" in the top right corner.