Đoàn Lê Minh Anh
The Google Search Console Performance Report is an important source of data that helps businesses understand how their websites appear in Google Search. By learning to filter by query, page, country, and device, SEO professionals can see what is working, which issues to prioritize, and what opportunities to pursue. Google Search Console Performance data can make these insights easier to uncover.
This guide explains how to use Google Search Console Performance features in depth: setting up filters, comparing time periods, reading key metrics, and exporting reports for analysis. The goal is not simply to review numbers, but to turn data into concrete actions for content and marketing.
Understand the metrics in the Performance Report
The Performance Report tracks a website’s performance on Google Search through four key metrics: clicks, impressions, click-through rate (CTR), and average position. You can turn each metric on or off in the report to focus on the data you need to analyze. Each metric reflects a different aspect of performance, so SEO should not be evaluated based only on clicks or rankings.
- Clicks: The number of times users click a search result that leads to your website. This metric is closely related to organic traffic, but it does not reveal the full quality of visits or their conversion rate.
- Impressions: The number of times a website page is recorded as appearing in search results. An increase in impressions may indicate that the website is appearing for more queries, even if its rankings are not yet high.
- CTR: The ratio of clicks to impressions. A low CTR may be related to ranking position, the title, the description, or how well the result matches search intent.
- Average position: The average position of your website’s results within the data being viewed. This metric can vary by query, device, location, and aggregation method, so it should be considered alongside other metrics.
Before drawing conclusions, select the right search type, such as Web, Image, Video, or News, when relevant data is available. Also keep in mind that one page can appear for multiple queries, and one query can lead to multiple pages. As a result, overall figures do not always reveal the cause of a change; filters and segmentation help clarify the context.
Filter data to find specific answers
Rather than starting with a large data table, begin with a question: Which pages are losing clicks? Which query groups have many impressions but a low CTR? How does performance on mobile compare with desktop? Then use filters to narrow the data. This makes the report easier to read and reduces the risk of making decisions based on aggregated figures without sufficient context.
Filter by query and page
Query filters let you view data that contains, does not contain, or exactly matches a phrase. This is useful for analyzing branded and non-branded keyword groups, checking a specific topic, or identifying closely related query variations. When analyzing content, filter by landing page to see which queries actually bring users to a particular article or service page.
If a query has many impressions but few clicks, check its position and search intent before changing the title. The page may rank too low, or its content may not meet users’ needs. Conversely, if a page receives many unrelated queries, you may need to improve its content structure, subheadings, or topic framing to make it more relevant.
Segment by country, device, and search appearance
The country filter helps separate performance in Vietnam from performance in other markets. The device filter shows whether search behavior differs between mobile and desktop users. If mobile impressions are strong but CTR is low, check how the title and description appear on smaller screens, and assess page speed and the on-page experience after users click.
Search appearance filters can help analyze special ways your website appears in search results, depending on the data and features recorded by Google. Because data may be limited by query or report scope, do not assume that all segments will add up to the overall totals.
Compare time periods to identify trends
The time comparison feature lets you compare performance across two periods, such as the most recent 28 days versus the 28 days before that, or against the same period last year. Year-over-year comparisons are especially useful for seasonal businesses, while comparisons with the preceding period are suited to tracking the recent impact of a content change or campaign.
When choosing time periods, make sure they are the same length and have ended long enough ago for the data to be updated. Very short periods often produce sharp fluctuations, especially for websites with low traffic. If you have recently changed content, record the implementation date and monitor performance over an appropriate period rather than drawing conclusions after just a few days.
Once comparison mode is enabled, review both the absolute and relative changes in clicks, impressions, CTR, and position. Then open the Queries and Pages tabs to find what contributed most to the increase or decrease. For example, a drop in total clicks could stem from a key page losing ranking position, or from multiple smaller queries declining at once. These situations call for different responses.
- Impressions increase, but clicks do not: Check CTR, position, and how compelling the search result is.
- Clicks decline while position remains nearly stable: Consider changes in search demand, CTR, and the search results page.
- Average position declines: Analyze queries and pages to identify the affected content groups instead of looking only at the site-wide figure.
- Performance increases unexpectedly: Verify the time period, filters, and pages driving the increase before treating it as a sustained trend.
Export reports and turn data into action
Google Search Console lets you export report data for further analysis or sharing with your team. Depending on the interface and available options, data can be downloaded as a spreadsheet or opened in a compatible tool. Before exporting, set the required time period, search type, and filters; otherwise, the file may contain data that is too broad or does not answer the question at hand.
Keep in mind that the interface report and exported data may differ in row limits, aggregation methods, or the scope of displayed data. Search Console does not necessarily provide every query; some queries may be omitted for privacy reasons or because of data limitations. Treat an exported file as a useful dataset for analysis, not as a complete and definitive list of every search.
To make reports easy to use, standardize file names, specify the date range, and record the filters applied. In a spreadsheet, you can sort by declining clicks, rising impressions, or low CTR to identify priority opportunities. For example, create a list of pages with many impressions but low CTR, then review their titles, descriptions, positions, and search intent before recommending updates.
SEO teams should also combine Search Console data with website analytics and business data. Search Console shows how users find and click search results; website analytics tools help assess what they do after arriving; and CRM or sales data shows how well visits generate leads and revenue. By bringing these sources together, businesses can prioritize pages that offer both search growth potential and business value.
An advanced analysis process for businesses
To make report reviews a repeatable process, follow a clear set of steps. LilyTech recommends that businesses define their objective first—for example, increasing traffic to a service category, improving the performance of advisory articles, or monitoring search health after launching a new website. A specific objective helps you choose the right filters and avoid spending time on irrelevant metrics.
- Choose the scope: Identify the website, search type, and time period that fit your objective.
- Define an analysis question: For example, which service pages have rising impressions but low CTR, or which query groups have lost clicks compared with the same period last year?
- Apply filters: Analyze queries, pages, devices, or countries in turn to narrow down the cause.
- Cross-check the data: Compare it with updated content, communications activity, seasonality, and traffic or conversion data.
- Prioritize actions: Choose actions with a strong expected impact that are feasible to implement, such as updating content, improving titles, or fixing technical issues.
- Record the results: Document your hypothesis, implementation date, and tracking metrics so you can evaluate the outcome in the next reporting period.
This process should be adapted to the size of the website. For a small website, a monthly tracking spreadsheet may be sufficient. For a large website, reports should be organized by category, product group, or market, with marketing, content, and technical teams aligned on how to interpret the data. The key is to base every recommendation on a specific finding and define a metric for evaluating it after implementation.
Conclusion
The Google Search Console Performance Report becomes much more useful when businesses know how to filter the right data, compare equivalent periods, and export reports with a clear objective. Review clicks, impressions, CTR, and position in context, check which pages or queries are driving changes, and turn your findings into measurable actions.
If your business needs to build an SEO process, improve its website, or connect search data with marketing objectives, LilyTech can advise you on a solution that fits your current situation and resources. Contact LilyTech for support in assessing growth opportunities and creating an effective implementation plan.
