Google Search Console Metrics Explained (For Client Reports)
Google Search Console is the most trustworthy data source for SEO reporting. But many agencies either misinterpret the metrics or fail to explain them clearly. Here's what each metric means, how to read trends, and how to communicate them to clients.
Why GSC Data Matters More Than GA4 for SEO
Google Analytics shows you what happens after someone visits your site. Google Search Console shows you what happens before — in Google's search results. For SEO reporting, the "before" data is often more valuable because it shows the direct impact of your optimisation work.
GSC data comes directly from Google. It's not sampled, not affected by ad blockers, and not subject to cookie consent. When you report GSC metrics, you're reporting what Google itself observed. That makes it the most credible data you can put in a client report.
Clicks
What it is
The number of times someone clicked on your site in Google search results. Each click that leads the user to a page outside of Google Search counts as one click. If a user clicks a result, goes back to the search results, and clicks the same result again, that counts as one click. If they click a different result, that's two clicks.
How to interpret trends
Clicks are the closest GSC metric to actual traffic. A rising click trend means more people are choosing your site from search results. But clicks alone don't tell the full story — you need to look at them alongside impressions and CTR.
Common patterns:
How to explain it to clients
"Clicks tell you how many people found your site through Google and chose to visit. This month, 4,230 people clicked through to your site from search results — up 12% from last month. That growth is coming primarily from your service pages, which we optimised in January."
Impressions
What it is
An impression is counted each time your URL appears in a search result, as long as the user could have scrolled to see it. The user doesn't have to actually see your result — it just needs to be on a page they loaded. If your site appears in position 8 and the user only looks at the top 3 results, that still counts as an impression.
How to interpret trends
Impressions represent your total search visibility. They tell you how often Google is showing your site for relevant queries. A rising impression trend — even without corresponding click growth — often signals that your content is being indexed for more queries or that existing pages are reaching more search results.
Impressions are heavily influenced by seasonality. A gardening site will see huge impression swings between winter and summer. Always compare year-on-year, not just month-on-month, for accurate trend analysis.
How to explain it to clients
"Impressions show how many times your pages appeared in Google search results. Think of it as your shop window — impressions are the foot traffic passing by. This month your site appeared 52,000 times in search results, up from 41,000 last month. That 27% increase means Google is showing your site to more potential customers."
Click-Through Rate (CTR)
What it is
CTR is clicks divided by impressions. If your page appeared 1,000 times and got 50 clicks, your CTR is 5%. It measures how compelling your search listing is — your title tag, meta description, and any rich snippets or structured data.
What's a good CTR?
CTR varies dramatically by position. A page in position 1 typically gets 25–35% CTR. Position 3 gets around 10–15%. Position 10 gets 1–3%. Branded queries (where someone searches your company name) have much higher CTR than non-branded queries.
Don't obsess over your site-wide average CTR. It's heavily skewed by where your pages rank. A site with lots of page-2 rankings will have a low average CTR even if every listing is perfectly optimised. Instead, look at CTR per page or per query group.
How to interpret trends
How to explain it to clients
"Click-through rate shows the percentage of people who see your site in search results and choose to click. Your average CTR this month is 3.8%, up from 3.2% last month. That improvement is thanks to the new title tags we wrote for your top 10 pages — more people are seeing your listing and deciding to click."
Average Position
What it is
The average ranking position for your site in search results. If a page appeared at position 3 for one query and position 7 for another, the average position is 5. Google calculates this using the highest position your site appeared in for each query (even if multiple pages ranked).
Why average position is misleading
Average position is the most misunderstood GSC metric. Here's why: it's an average across all queries your site appeared for. If you rank position 1 for your brand name (which gets 80% of your impressions) and position 50 for everything else, your average position might look great — but your non-branded SEO is struggling.
Similarly, when you publish new content and start ranking for more queries (usually at lower positions), your average position will actually get worse — even though you're growing. This confuses clients if not explained properly.
How to use it in reports
How to explain it to clients
"Average position shows where your pages typically appear in search results. For your target keywords, we moved from an average of position 14 to position 9 this month — that means your key pages are now on page 1 instead of page 2. I'm focusing on 3 pages that are in positions 4–7, which we can push into the top 3 with content improvements."
Putting It All Together in a Report
The most effective way to present GSC data in a client report is with a summary card at the top followed by trend charts:
For the full picture of which metrics to include beyond GSC, read our guide on SEO KPIs for client reports. And if you want to connect GSC data to post-click behaviour, see Google Search Console reporting for setup instructions.
Key takeaway: GSC metrics are powerful but need context. Never dump raw numbers into a report without explaining what they mean and why they changed. Every metric should be accompanied by one sentence of insight. That's what turns data into a story the client can act on.