How can you analyze and visualize personalized search data?

1 Step 1: Enable and export your Google Web & App Activity

The first step is to enable your Google Web & App Activity, which is the feature that records your searches and other actions on Google services. This will allow you to see your own personalized search data and export it as a JSON file. To do this, go to your Google Account settings, click on Data & Personalization, and then on Web & App Activity. Make sure the toggle is on and that you have selected the option to include Chrome history and activity from sites, apps, and devices that use Google services. Then, click on Manage Activity and select Export from the menu on the top right corner.

2 Step 2: Import and clean your data in Google Sheets

The next step is to import and clean your data in Google Sheets, which is a free online spreadsheet application. You can do this by creating a new spreadsheet, clicking on File, then Import, and then Upload. Choose the JSON file that you exported from your Google Web & App Activity and select the option to replace the current sheet. You will see a table with several columns, such as header, query, title, link, and snippet. You can delete the columns that you don't need and rename the ones that you want to keep. You can also use filters, formulas, and functions to sort, filter, and manipulate your data.

3 Step 3: Analyze your data with Google Data Studio

The third step is to analyze your data with Google Data Studio, which is a free online data visualization and reporting tool. You can do this by creating a new report, clicking on Add Data, and then selecting Google Sheets as the data source. Choose the spreadsheet that you imported and cleaned in the previous step and click on Connect. You will see a list of fields that you can use to create charts, tables, maps, and other visualizations. You can drag and drop the fields to the report canvas and customize them with different options and styles. You can also add filters, segments, and parameters to refine your analysis.

4 Step 4: Explore other tools and applications

The final step is to explore other tools and applications that can help you analyze and visualize personalized search data. For example, you can use Serpstat, which is a SEO platform that allows you to track your personalized rankings and compare them with your competitors. You can also use SimilarWeb, which is a web analytics tool that shows you the traffic sources, keywords, and audience behavior of any website. You can also use DuckDuckGo, which is a search engine that does not track or personalize your searches, and see how your results differ from Google.

By following these four steps, you can access, analyze, and visualize your personalized search data and gain valuable insights for your SEO strategy. You can also learn more about how search engines personalize your results and how to optimize your content for different scenarios and audiences.

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?