I rewrote five article titles to match real search queries. Then Google showed them 122 times and nobody clicked.

I run a small English blog — 70 posts, a domain registered on 2026-10-11, so twelve days old when I wrote this. Search Console was showing a strange pattern: pages getting impressions and almost no clicks. The cheapest thing I could change was the headline, so I changed five of them.

This is what happened, including the part where the data could not answer the question.

The short version

• On 2026-10-16 I rewrote the titles and descriptions of five posts. Frontmatter only; not a word of the bodies changed.
• In the first five days of usable data after the change, those five pages collected 122 impressions and zero clicks.
• That is not proof the titles failed. It is proof that at this volume I cannot measure a title at all. So I stopped the experiment instead of starting a second batch, which is the more useful outcome.

What I changed, and why those five

The five pages had impressions but no clicks, and the queries they appeared for had a different shape from the headline. People searched questions; my titles were noun phrases.

The reasoning was simple: put the words people actually type into the title, keep the promise the page can keep. I verified afterwards that all five new titles were live in the <title> tag, not just in the repository.

What the numbers actually say

Search Console, read on 2026-10-23. The window is 2026-10-10 to 2026-10-20 — console data lags two to three days, so the "week" is really five days after the change.

Whole site, 28 days:

clicks        4
impressions 612
CTR         0.7%
avg position 11.8

Whole site, last 7 days: 0 clicks, 455 impressions, average position 13.4. Every click in the 28-day window happened before 2026-10-14.

The five rewritten pages, same 28-day window:

At the query level, can you use esim in china was still at position 82 with one impression, and can i transit in china without visa at 75 with one impression — the same readings I had before the change.

Why "122 impressions, 0 clicks" is weaker evidence than it looks

Three reasons, in order of how much they matter.

1. Most of those pages sit where nobody clicks. Three of the five average position 20 to 38. At that depth an impression is a rounding error, not an opportunity. The honest expectation for 122 impressions spread across positions 6 to 38 is less than one click.

2. The volume cannot separate a good title from a bad one. Published sample-size arithmetic: to tell a 3% click-through rate from a 6% one with any confidence, each arm needs roughly 750 impressions. The entire site had 612 impressions in 28 days. At a true CTR of 3%, seeing zero clicks on 46 impressions happens about a quarter of the time anyway.

3. The console hides most of the queries. The query table returned 36 rows covering 67 of 612 impressions — about 11%. The rest sits below Google's reporting threshold. So for most pages I do not know which query produced the impression, which means I cannot tell whether the new title matches it or misses it.

There is also a timing problem I can name but not quantify: a twelve-day-old domain is still being crawled and re-evaluated, so any effect of a title change is mixed with the effect of Google simply noticing the site for the first time. I cannot separate the two with this data.

What I changed in the process, not the site

The experiment did produce a decision, just not the one I was hoping for:

• No second batch. I had three more titles ready. Changing them now would mean two experiments running at once, and then no result would be attributable to either.
• A title change needs a query phrase I can show, not a query theme I can guess. If the console will not tell me the sentence, I do not write the sentence into the title. Guessing produces a plausible-looking string and no information.
• The bottleneck is impressions, not click-through rate. 612 impressions in 28 days on 70 posts means almost nobody sees the pages. Editing headlines optimises a conversion step that is not the constraint.

So I stopped editing titles and started spending the same hours on distribution: getting the pages in front of people somewhere other than a search results page they never reach. This post is part of that.

Method notes, so the numbers can be checked

• All figures are from Google Search Console for the https://notebookfield.com/ property, read 2026-10-23, window 2026-10-10 to 2026-10-20.
• Search Console's own totals disagree with the sum of its per-page table (4 clicks / 612 impressions at the top, 6 clicks / 563 impressions when summed). Both are printed here rather than picking the friendlier one. This is a known behaviour at low volume.
• Titles and descriptions live in frontmatter and are not part of the article body, which is why this counted as a metadata change and not a content change. Five social-preview images were regenerated because they render the title.
• What I did not measure: click-through rate by position for these specific pages. Google does not publish it per page, and with 122 impressions the confidence interval would be useless anyway.

Drafted with an AI assistant from my own measurements; every number and link here was checked against the source.

I keep the longer write-ups and the raw measurements at Field Notes — no ads, no tracking, one-click unsubscribe.

Read next, from the same notebook:

• Can you use an eSIM in China? It depends on the phone — One of the five rewritten pages, and what the carriers actually publish.
• China's fapiao: the invoice system, explained — Another of the five: what the tax rules put on the document.