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Rand Fishkin (follow @randderuiter on Threads) engagement report

@randfish - 467K followers on X

Measured over 5 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Per follower
0.01%
of 467K followers
Per impression
0.48%
9.6K views on a typical post
Reach
2.05%
of its followers see a post
Typical post
46
interactions (median)
Saved
0.146%
14 bookmarks on a typical post
Posting rate
0.27/day
active 20% of days
Peak time
08:00 UTC
Monday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 46 interactions against 467K followers, an engagement rate of 0.01%. Posts are seen about 9.6K times each, and 0.48% of those impressions turn into an interaction. That is about 2.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 20% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 284x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on September 22, 2026.

Where this sits in the catalog

At 0.01%, Rand Fishkin (follow @randderuiter on Threads) sits above the 10th percentile of the 200,465 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.67%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 200,465 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,898 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.141%
75th percentile0.67%
90th percentile2.53%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 08:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 212 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Feb 4, 2015284x their median

    Best way to sell something - don't sell anything. Earn the awareness, respect, & trust of those who might buy.

    8.0K4.0K500626View on X
  • Jan 28, 20267.9x their median

    NEW research: https://t.co/yE1LogIFHO If you give ChatGPT the same request for product recommendations 100X, will you ever get the same list twice? And what does that answer mean for folks who try to track their brand presence in AI tools? Finally, some real answers 🧐 https://t.co/r8R7IMSJm5

    33278463672K viewsView on X
  • Aug 12, 20265.3x their median

    I'm worried that citation analysis research is misleading us... badly. AI tools often already know which brands they're going to search for and recommend, so looking at the sources or URLs ain't gonna help you much. Full report: https://t.co/lpoS9q7Bfp https://t.co/wZrPtucp76

    1852031634K viewsView on X
  • Jun 9, 20265.2x their median

    NEW Research: https://t.co/wIrac9r0a3 From Jan-April of this year, 68.01% of Google searches in @Similarweb's mobile+desktop panel ended without a click. That's 12.5% growth from two years ago; the fastest we've seen the zero-click search trend rise in the last decade. https://t.co/hXV6dtG8hl

    16740121856K viewsView on X
  • Mar 12, 20264.2x their median

    Is Google taking news publishers' traffic away? Sweet mother of media, are they ever. From 2023-2025, referrals from search dropped by almost HALF. Brutal. Insulting. Infuriating. And ironic given that Google is certainly training its AI answers on publishers' work. 🙄 https://t.co/bz1SwSTfk4

    1312628615K viewsView on X
  • Mar 24, 20263.5x their median

    SO MANY people are getting misled by "AI citation" research studies, and the concept of what it means to be "cited" by an AI response. I'm no expert, but the people who answered this question are: https://t.co/G1i8DH2IQu Thanks to @lucatag2015 for publishing this piece. https://t.co/VFjTatXf8o

    1242310311K viewsView on X
  • Mar 9, 20263.2x their median

    97% of visitors to Google perform a search 56% of visitors to ChatGPT enter a prompt And only 35% of visitors to Yahoo perform a search Using this data (from last week's report), we updated SparkToro to better show which search & AI tools your audience uses 👇 https://t.co/gnlE7Ybb1R

    992121616K viewsView on X
  • Jul 20, 20263.2x their median

    The death of marketing attribution does NOT mean: - metrics are dead - time-series testing is dead - correlation between marketing activity and sales is false Important clarification (and examples) of what it does mean 👇👇👇 https://t.co/wkYZfxRkyg

    1171215219K viewsView on X
  • Jul 27, 20262.9x their median

    I can't stop thinking about these three graphs from @Similarweb's report last week. And what they really mean, together, for how we should prioritize marketing work (and product design) 👇 https://t.co/q0a0KZQYmj

    1011518116K viewsView on X
  • Jul 21, 20262.7x their median

    Google v. SerpApi: The Court Granted SerpApi's Motion to Dismiss https://t.co/UxWoNnXWxD https://t.co/GgAnnHfjCs

    782551858K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 46 interactions against 467K followers, an engagement rate of 0.01%. Posts are seen about 9.6K times each, and 0.48% of those impressions turn into an interaction. That is about 2.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 20% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 284x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Rand Fishkin (follow @randderuiter on Threads)'s engagement rate on X?
Rand Fishkin (follow @randderuiter on Threads) (@randfish) has an engagement rate of 0.01%, based on the median interactions across 5 original posts from the last 30 days against 466,521 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Rand Fishkin (follow @randderuiter on Threads) sits above the 10th percentile of the 200,465 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @randfish have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @randfish post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 0.27 posts per day across the measured window.

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