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Claire Díaz-Ortiz engagement report

@Claire - 264K followers on X

Measured over 12 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 264K followers
Per impression
0.413%
2.4K views on a typical post
Reach
0.92%
of its followers see a post
Typical post
10
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.93/day
active 77% of days
Peak time
18:00 UTC
Monday

A typical post picks up 10 interactions against 264K followers, an engagement rate of 0.004%. Measured over 12 original posts, its engagement rate beats 14% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.413% of those impressions turn into an interaction. That is about 0.917% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 4.5K interactions, about 451x its own typical post.

Measured over 12 original posts from a 30-day window, last computed on September 23, 2026.

Compared with accounts its own size

Claire Díaz-Ortiz's engagement rate beats 14% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 22% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.004%, Claire Díaz-Ortiz sits above the 10th percentile of the 212,825 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,825 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.0%

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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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 video58% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 58% 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 145 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

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

  • Sep 23, 2026451x their median

    I’m not sure what this recruiter was going for but I’m definitely intrigued https://t.co/BY7F4lVFJl

    4.3K4213926422K viewsView on X
  • Aug 15, 202680x their median

    Instinct is as close to THE personal AI assistant we’ve all been waiting for Absolutely jaw dropping user experience

    4311234317309K viewsView on X
  • Jun 23, 202218x their median

    THIS IS MY SAD FACE https://t.co/ZqH3P5KaFe

    1358352View on X
  • Sep 19, 20264.2x their median

    i want to volunteer myself as a wiser, older, textable woman to help the corgi girls. i will be ur guide, ur thought partner. i will reel you in without dimming ur light

    3118239K viewsView on X
  • Sep 4, 20262.8x their median

    Nobody has ever acted quicker than my ai agent wanting to buy me stuff. $5 substack subscription? Now! $5,298 necklace from a Netflix screenshot? Yesterday! Someone needs to teach this dude the value of a dollar.

    220603.6K viewsView on X
  • Sep 12, 20262.3x their median

    Is nothing sacred https://t.co/lCEgA5S6oz

    180411.9K viewsView on X
  • Aug 28, 2026

    Things were going so well all day with Instinct … and now some little problems. 🫠 (Chicken, defeated, remains MIA!) 😩 https://t.co/8zRDg0k51I

    91312.2K viewsView on X
  • Aug 17, 2026

    Instinct, 12 hours in (English + Spanish, issues in 2 countries): - Figure out requirements, prep and submit health insurance forms for out of network - Find in-network healthcare providers, whatsapp them for appointments - Deal with a long list of books, figure out if library hold, interlibrary transfer, or buy, do as needed based on specific criteria - Dig through various school app feeds looking for important dates, integrate into my GCal - Help with a complicated travel insurance issue involving VRBO, multiple credit cards, and a huge # of potential providers - Figure out item I just got a UPS alert for (lol but yes) - Unsubscribe from random BS - Decipher + deal with a Zoom 10DLC regulatory SMS blah blah - Send emails on my behalf - Figure out why Naked + Afraid: Shipwrecked (fml) is not showing up on my HBO ...😍😍😍 wheeeeeee

    90212.1K viewsView on X
  • Sep 14, 2026

    Wondered why my computer crashed and not gonna jump to conclusions but idk prolly it’s the 42G from @SuperhumanMail? 🤣🤣🤣 https://t.co/IejdSF4EHq

    90202.6K viewsView on X
  • Sep 14, 2026

    My agent repeatedly tells me they can't get into @AmericanAir, which is obviously a huge issue in terms of travel help. Has anyone been successful at this?

    60212.8K 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 10 interactions against 264K followers, an engagement rate of 0.004%. Measured over 12 original posts, its engagement rate beats 14% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.413% of those impressions turn into an interaction. That is about 0.917% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 4.5K interactions, about 451x its own typical post.

What is Claire Díaz-Ortiz's engagement rate on X?
Claire Díaz-Ortiz (@Claire) has an engagement rate of 0.004%, based on the median interactions across 12 original posts from the last 30 days against 264,028 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Claire Díaz-Ortiz sits above the 10th percentile of the 212,825 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 @Claire have real engagement?
Its engagement rate beats 14% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @Claire post?
Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 1.93 posts per day across the measured window.

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