There are metrics in SEO that feel important but lead to bad decisions when applied without context. The numbers themselves aren’t useless. The problem is how people look at them.
Each of the four metrics below has a specific, narrow context where it’s genuinely useful. Outside that context, it’s noise. The pattern is always the same: a metric that means something at one level of granularity becomes meaningless when zoomed out.
Click-Through Rate in Google Search Console
This is the one I see most often in forums and Slack groups. Someone pulls up their site’s CTR in Search Console, sees 2.1%, and panics. Or they look at a specific page’s CTR, see 3.4%, and start rewriting title tags.
The problem is what that number actually represents. Site-wide CTR is an average across every query the site appeared for, including queries where the site ranked on page 5, page 8, page 12. Those impressions where you ranked 47th and nobody clicked? They’re in that average, dragging the number down. A site could be performing brilliantly for its important queries and still show a low aggregate CTR because it also has thousands of impressions for queries where it barely appeared.
Page-level CTR has the same issue. A single page might rank #3 for its target keyword but also show up at position 40 for a dozen tangentially related queries. Those low-ranking impressions pull the page’s average CTR down even though the page is performing exactly as it should for the query that matters.
CTR is useful in exactly one context: a single query, evaluated relative to its average position. If a query is averaging position 2 and has a 2% CTR, something is wrong. Maybe the title tag doesn’t match the intent. Maybe a featured snippet or AI overview is stealing the click. Maybe the SERP is dominated by ads. That’s a real signal worth investigating. But you can only see it at the individual query level. The aggregate number tells you nothing actionable.
Average Position in Google Search Console
Same mistake, different metric. People look at their site’s overall average position, see something like 28.4, and think their site is performing terribly.
But consider what that number actually averages. A site that ranks #1 for 10 valuable queries and #80 for 200 low-relevance queries it barely targets may show an average position in the 30s or 40s. That’s not a struggling site. That’s a site performing well for its important terms and showing up incidentally for a bunch of things it never optimized for (or are too difficult for it to rank for yet).
Average position only means something at the individual query level, and even there it’s imperfect because it’s averaged across whatever fluctuations happened during the date range you’re looking at. A query that ranked #3 for 20 days and #15 for 10 days will show an average position around 7, which doesn’t reflect either of the positions it actually held.
The useful application is tracking a specific query’s average position over time to spot trends. Is your target keyword gradually improving? Gradually declining? Holding steady? That’s useful. The site-wide number is not.
Domain Authority (and Domain Rating and Authority Score)
Domain Authority is Moz’s metric. Domain Rating is Ahrefs’. Authority Score is Semrush’s. They all attempt to approximate the overall strength of a domain on a 0-100 scale. And they’re all misused in the same three ways.
Misuse 1: Judging link quality. People look at the DA of a site linking to them and use it as a proxy for link value. “I got a link from a DA 72 site” sounds impressive. But link value doesn’t come from the strength of the overall domain. It comes from the strength, relevance, and authority of the specific page linking to you. A link from a strong, well-linked page on a DA 30 niche site can pass more value than a link from a page with zero backlinks on a DA 90 site. When you evaluate a link, you need to look at the linking page, not the domain’s aggregate score.
Misuse 2: Gauging ranking difficulty. People look at the DA of the top 10 results for a keyword and conclude that if they’re all DA 70+, the keyword is too competitive. This tells you almost nothing useful. DA is a domain-level metric. What matters for ranking is the strength of the specific pages at the top: their backlink profiles, their content relevance, their topical authority. A page on a DA 90 domain with no links and thin content is beatable. A page on a DA 40 domain with strong links and deep, relevant content is not. The domain number is a distraction from what actually determines the ranking.
Misuse 3: Tracking your own DA. I see this constantly. People track their site’s DA over time as if it’s a KPI. No search engine on the planet uses Domain Authority. It’s a third-party metric calculated by a third-party tool using that tool’s own methodology and data. It doesn’t factor into Google’s ranking algorithm. It doesn’t appear in any Google patent. Google has said explicitly that they don’t use it. Tracking your own DA is tracking someone else’s estimate of how authoritative your site might be, updated on someone else’s schedule, using criteria that don’t match how Google actually evaluates authority. Your time is better spent tracking metrics that directly reflect performance: rankings for target queries, organic traffic, conversions.
And a warning about link sellers. DA is the favorite metric of people selling links, and that should tell you something. When you see someone advertising that they can get you links on DA 90+ sites, what they’re usually selling are profile links, forum signatures, or directory listings. These are pages with no real content, no backlinks of their own, and often no link path from the root domain of the site. They don’t benefit from the overall strength of the domain because there’s no link equity flowing to them. These links have zero authority.
The DA number is the entire sales pitch because it sounds impressive and most buyers don’t know enough to question it. Here’s my mantra on this: anyone selling links based on DA is either incompetent or a scammer. They’re incompetent because they don’t understand how link equity actually flows through sites. Or they’re a scammer because they do understand it but are using DA to make worthless links sound valuable. Either way, you shouldn’t be buying from them.
Number of Search Results
People search a keyword in Google, see “About 12,400,000 results” at the top of the page, and conclude the keyword is extremely competitive. Or they see “About 8,200 results” and conclude it’s easy pickings. Both conclusions are wrong.
The number of indexed pages that contain words related to a query tells you nothing about the strength of the pages at the top of the results. A query could return 50 million results, but if the top 5 are weak, low-authority pages with thin content, that query is very winnable. A query could return 3,000 results, but if the top 5 are deeply authoritative pages backed by strong link profiles, good luck.
Think of it like a marathon. If you’re the 3rd fastest runner in the field, it doesn’t matter whether there are 4,000 or 40,000 participants. You’re finishing 3rd either way. The total number of runners in the race tells you nothing about how fast the people ahead of you are running. What matters is the competition at the front, not the size of the field behind them.
If you want to evaluate keyword difficulty, look at what’s actually ranking in the top 5 to 10 positions. Look at their content quality, backlink profiles, topical authority, and how well they match the search intent. That’s the competition. The number at the top of the SERP is just how many pages Google found that were tangentially related to the words you typed.
The Pattern
Every one of these mistakes follows the same structure. A metric that means something at a specific, narrow level gets applied at a broad level where it loses all context. CTR means something for a single query at a known position. Average position means something for a single query over time. Link strength means something at the page level. Competitive difficulty means something when you evaluate the actual pages ranking, not the total count.
The fix is always the same question: does this number, at this level, actually tell me what I’m trying to learn? If the answer is no, stop looking at it and zoom in until it does.
