How to analyze search console data with Google Analytics?

@larry_orn 

To analyze search console data with Google Analytics, you can follow these steps:

1. Connect Search Console with Google Analytics: Sign in to your Google Analytics account. Go to the Admin settings of your property (website). Under the Property column, click on "All Products". Click on the Search Console option. Click on the "Set Up Search Console data sharing" button. Select the appropriate Search Console property and click "Save".
2. Access Search Console data in Google Analytics: After setting up the integration, go to your Google Analytics account. On the left-side menu, click on "Acquisition". Click on "Queries" under the "Search Console" section. Here, you can see data related to search queries, clicks, impressions, CTR, and average position.
3. Analyze the Search Queries report: Review the search queries that are bringing traffic to your site. Identify high-performing keywords with a good number of clicks, impressions, and high average position. Explore queries with low CTR but high impressions to identify opportunities for optimization. Identify queries with a high CTR but low average position to focus on improving rankings for those keywords.
4. Use other Google Analytics reports: Utilize various Google Analytics reports like landing pages, behavior flow, conversion reports, etc., to gain deeper insights into user behavior. Correlate search queries to landing page performance and user engagement metrics. Analyze the behavior flow to understand the user journey after arriving from specific search queries. Track conversions and goal completions related to specific search queries.
5. Create segments and custom reports: Use segments to filter and analyze specific subsets of search query data. Create custom reports to combine search console data with other Google Analytics metrics. Customize the reports to suit your specific analysis needs and goals.

By analyzing search console data through Google Analytics, you can gain valuable insights into search queries, user behavior, and website performance.