Today, we will discuss the bubble charts which can help you identify which queries are performing well on your site and which ones could be improved. First, we’ll explain the critical elements of the chart and describe specific settings that affect the data. We’ll then give some tips on how to analyze the data.
The good news is that you don’t have to create the chart from scratch. You can use this template, connect to your data and adjust any settings.
What is a Search Console Bubble Chart?
A search console bubble chart allows you to visualize relationships and patterns within your data with multiple dimensions and metrics. In the above example, you can observe traffic attributes, click-through rates, average positions, and total clicks for different dimensions (query or device) simultaneously.
Data source
This search console bubble chart uses the Site Impress table from the Search Console data source. It also includes Search performance aggregated site-by-query.
Data controls and filters
Google has included five customization options to the search console bubble chart to make it easier to manage your data effectively.
Data Control: Select the Search Console property that you want to analyze.
Date range – Choose the date range you would like to see in your report. By default, you will see the last 28 days.
Query. Select which queries you want to focus on. You can use regular expressions in the same way you do in Search Console.
Country – Add or remove countries.
Device: Include or exclude device categories.
Axes
The search console bubble chart’s axes are Average position (y-axis) and Website CTR(x-axis). However, Google has made three important transformations to make it more informative.
Reverse y-axis direction. Since the y axis indicates the average position, inverting the y-axis means that one is at its top. The highest position is at the top right corner of most business charts. Therefore, it makes sense to invert the direction of the y-axis to show the average position.
Log scale – A logarithmic scale is a method of efficiently displaying numerical data over very wide ranges of values. A unit of distance along a scale indicates that the number has been multiplied by 10″. Log scale can be used for both axes to help you understand queries that lie at the extremes of the chart (very low CTR or average position, or both).
Reference line: This is a great way to identify values that exceed or fall below a threshold. You can see deviations from the pattern by looking at the median, Average, or a certain percentage.
Bubbles
Each bubble represents a single query. To make the search console bubble chart more usable, Google used two style properties.
Size – Using the number of clicks to determine the size of the bubble allows you to see which queries drive the most traffic. The larger the bubble, the more traffic it generates.
Color – Using the device type as the bubble color allows you to understand mobile and desktop search performance differences. It is possible to use any dimension for the color. However, it becomes more difficult to recognize patterns as the number increases.
Analyzing the Search Console Bubble Chart Data
This visualization is intended to assist in query optimization. The chart displays query performance. The y-axis is the average position, while the x-axis is CTR. The bubble size is clicked. And the bubble color is the device type.
The red reference lines represent the average value for each ax. This splits the chart into quadrants that show four types of query performance. You’re likely to have quadrants that look different from the one in this post, and this is because they will depend on how site queries are distributed.
The chart will generally show four groups you can analyze to help you decide where to invest your time when optimizing your query performance.
- Similar queries. If you are serious about the query, it is good to get it in Search. These queries will be easier to optimize, so prioritize them over those not appearing in search results.
- Unrelated queries: This query may be a great opportunity to refine your content and focus your efforts on relevant queries.
- It is possible that your competitors have structured data markup, and they are showing up with rich search results. This could attract users to click on their results rather than yours. Consider enabling Search results features for your website.
- It is possible to rank for a query not related to your site, but you may have optimized it.
- Users may have already found the information they need, such as your company’s address, opening hours, phone number, and telephone number.
High CTR (Top Position):
You’re already doing a fantastic job.
High CTR (Low Position)
Those queries are relevant to users. They get a high CTR, even though they rank lower than the average query. These queries could significantly contribute to your website’s ranking if they are optimized.
Low CTR (Low position)
It’s particularly interesting to examine the bubble sizes when looking at low CTR queries. This will help you understand which queries drive significant traffic but have low CTR. Although the quadrant may seem insignificant, there are two main categories.
High CTR, top position
These queries may have a low CTR for various reasons. To find the following signs, you should inspect the largest bubbles.
Optimizing your website performance With Search Console Bubble Chart
After identifying the worthwhile queries, your time and effort optimize them using our On-page optimization guide. Here are some tips.
Make sure your title elements and description meta tags are clear, precise, and specific.
Heading elements are used to highlight important text. They also help create a hierarchical structure that makes it easier for search engines and users to navigate your content.
To describe your content to search engines, add structured data, and your content will be displayed in relevant (and eye-catching!) ways in search results.
Consider the keywords that users might use to locate a piece of content from your site. Our keyword search guide will help you find new keyword variants and estimate the search volume for each keyword. To find ideas related to your website, you can also use Google Trends.
