Google Data Studio

Google Data Studio is a powerful tool that helps you visualize data from Google Analytics as if it were a PowerPoint presentation. With this tool, you can present data from source to placement in a visually appealing and understandable manner. This not only provides you with in-depth insight into the performance of your careers or recruitment website but also allows you to easily share these insights with your team and stakeholders. In this article, we will show you how to use Google Data Studio to transform your data into clear, actionable reports.

Contents

• General
• Campagnes
  

General

Structure

Your Google Data Studio is divided into different sections. These are created for specific issues within your recruitment concerns. Below are the different sections listed and explained:

• General: These are general reports that collect all data, regardless of the source (paid campaign, organic, referral, etc.). These reports are intended to provide insight into major changes and the overall effect of your marketing efforts.
• Campaign: These reports focus on specific campaigns, such as job board campaigns, Facebook & Instagram job ads, and Google for Jobs. The reports only collect data relevant to these campaigns.
• Recruitment: These reports give you insight into everything happening in the recruitment department and per recruiter: analyze post-application processes, the results of recruitment efforts, and the performance per recruiter.
• Job results: These reports are for analyzing your A-B tests. If you are working on additional titles and cities, you can analyze them here.
• SEO: Here you will find a basic report that gives you insight into the Google Search results.

Concepts

Google Data Studio uses various components such as dimensions, metrics, and visualizations. Dimensions are the attributes of your data, such as the name of a job posting or the location of a candidate. Metrics are quantitative data such as the number of applications or the duration of a visit. Visualizations are charts and tables that present this data.

Below are some more concepts explained:

• Users: People who have visited the website.
• Sessions: How often users have visited the website.
• Page Views: The number of pages visited.
• Engagement Rate: The percentage of sessions with more than one page view.
• Events:
  • Applications: Completed applications on the website;
  • Open applications: Completed open applications on the website;
  • Leads: Subscriptions to secondary channels (e.g., Facebook & Instagram ads);
  • Job alert signup: Number of job alert signups;
  • Telephone - click: How many people contacted by phone through the website;
  • Email - click: How many people contacted by email through the website;
  • Contact form: How many people contacted through a contact form;
  • Call me back: How many people filled out a call-back request.
• UserID: Unique ID created by Analytics to track a specific candidate from source to placement.

Indicative Analyses and Low Hanging Fruit

A key advantage of Google Data Studio is that you can see how different sources contribute to the success of your recruitment website. For example, you can see which channels (such as social media, search engines, or direct visits) generate the most qualitative visitors. This helps you focus your marketing efforts on the most effective channels.

How do you do this? Always enter your star ratings per candidate! By doing this consistently, you add "depth" to your "flat" data.

Additionally, Google Data Studio makes it easy to see which job postings receive the most attention and which perform less well. This gives you insight into which positions are popular and where potential bottlenecks are. By analyzing this data, you can make targeted improvements, such as adjusting job descriptions or optimizing the recruitment strategy for certain positions. This way, you get the most out of your marketing budget.

How do you do this? Look for job postings with a relatively high number of sessions and relatively few or no conversions (applications, etc.).