Google Search Console is a great tool for marketers to monitor how well their websites are performing in Google search. It also gives webmasters tools for fixing any issues that may be affecting their website’s performance.
The good news is that there’s now a new way to get all the SEO and product data you need from Search Console in one place. Using Google’s BigQuery service, you can export your Search Console data to Google Cloud Platform.
You’ll need a BigQuery account to use this feature. It’s free to sign up for, and you can access the service for up to 10GB of storage.
There are some limitations: your data cannot be accessed from outside the United States, and you can’t use more than 10 million events per day (if you exceed this amount repeatedly, it will be paused). You can choose either to load data on a daily basis or stream it in.
Streaming does incur charges, but it’s a better choice if you need near-real-time data. It loads rows on the backend for a certain period of time before writing them to storage, which limits metadata overhead and ensures that queries over your data are performant.
It’s very simple to set up, and you don’t have to be a Google engineer to do it. Once you’ve created a project in BigQuery, you can use the REST API or the command-line UI to create a data transfer that will load your Search Console data on a schedule you select.
Once your data has been loaded, you can refresh it to recover from outages or gaps in data. You can do this by navigating to your BigQuery project in the web interface and clicking on the data transfer settings link.
A key part of this process is defining the data source that you’ll be transferring from. Typically, the data source will be an external database or a Google Cloud Storage bucket. Once you have a name for your data source, you can then specify the target table in your transfer job.
Now that your data has been transferred to your selected BigQuery project, you can start analyzing it. You can perform queries against your data in both ANSI SQL and the native BigQuery machine learning language, which will allow you to analyze your data in ways that weren’t possible before.
You can also use the Search Console bulk data export to identify underperforming keywords that aren’t performing as well as they could be. These are the keywords that have low search volumes and low click-through rates.
This will help you identify keywords that need improvement so that you can focus your SEO efforts on them. This will improve your site’s SEO, which will lead to more traffic and sales for your business.
Aside from this, you can also use this data to determine the best ads to run on your website. The most effective ads will be those that drive the highest number of conversions. You can use this information to target your ad campaigns with more targeted content and keywords, ensuring that you get the most out of your ad spend.