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Irene Zhao engagement report

@Irenezhao_ - 253K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Middle of its size range
Per follower
0.13%
of 253K followers
Per impression
0.85%
39K views on a typical post
Reach
15.3%
of its followers see a post
Typical post
328
interactions (median)
Saved
0.037%
14 bookmarks on a typical post
Posting rate
0.73/day
active 60% of days
Peak time
08:00 UTC
Monday

A typical post picks up 328 interactions against 253K followers, an engagement rate of 0.13%. Measured over 14 original posts, its engagement rate beats 64% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 39K times each, and 0.85% of those impressions turn into an interaction. That is about 15.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 86% carry an image or video and 7% link out. The account's strongest tracked post pulled 33K interactions, about 100x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on September 25, 2026.

Compared with accounts its own size

Irene Zhao's engagement rate beats 64% of the tracked X accounts closest to it in follower count (20,444 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 38% 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 0.13%, Irene Zhao sits above the 25th percentile of the 205,374 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 video86% of posts+111%+108% to +115%34K
Outbound link7% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 86% 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.
  • 7% 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 130 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

  • Feb 13, 2025100x their median

    $SEA is coming. Here are a few things to know: • Historical OpenSea usage, not just recent activity, will be an important ingredient • Claim process will be simple and accessible. US users welcome • We’re focused on long-term sustainability and supporting a healthy, enduring community • No details on timing yet. We’re taking the learnings from this space and getting it right As always, only trust updates from @openseafdn and @opensea

    21K4.6K3.7K3.5K5.7M viewsView on X
  • Sep 6, 202613x their median

    Hong Kong is beautiful https://t.co/F09Dbo9kL0

    3.8K623275306K viewsView on X
  • Sep 14, 20237.8x their median

    Wake me up when eth hits 2k https://t.co/F9QM6qafEM

    2.2K45318151.3M viewsView on X
  • Jul 12, 20266.8x their median

    Turned 42 today. Survived 4 bear markets and finally got a real job. You are never too old to achieve your dreams boys. 🥂 https://t.co/i0IpwPmrmK

    1.8K274166228K viewsView on X
  • May 25, 20253.9x their median

    Do Asian girls look the same to you? https://t.co/TErs4iHqTE

    1.4K1835724612K viewsView on X
  • Mar 22, 20265.2x their median

    Singapore is the best country in the world I like it all: 🇸🇬 Culture: Joining a 45-minute queue because "if there is a line, it must be good." 🇸🇬 People: Professional complainers who will still defend the country to the death if a tourist joins in. 🇸🇬 Hawker food: Sweating under a plastic fan to eat a $5 Michelin-starred chicken rice 🇸🇬 Safety: Using a $2,000 iPhone to reserve seat at a food court. 🇸🇬 Efficiency: Touching down at Changi and being home before the flight crew has even left the plane. Name a better country, I’ll wait

    1.3K8328723470K viewsView on X
  • Jul 16, 20264.1x their median

    Introducing Universal Dictation on Stream Push-to-talk across iOS and Mac: Instantly. No app switching, no reconnection. We built Notes so nothing gets lost, and Chat so you can think out loud. With Dictation, your voice goes anywhere. Notes, Chat, Dictation—in one voice ring https://t.co/JmygS73zoH

    1.0K7017392577K viewsView on X
  • Sep 7, 20263.5x their median

    Some views are just better in person. https://t.co/b8rwGQ0dLq

    1.0K497283K viewsView on X
  • Aug 29, 20263.2x their median

    小伙子 少奋斗十年 你愿意吗 https://t.co/cmXJMU1tGT

    78742675174K viewsView on X
  • Feb 19, 20263.2x their median

    江西彩礼50万真的很贵吗? https://t.co/pfJHELDejp

    69613347586K 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 328 interactions against 253K followers, an engagement rate of 0.13%. Measured over 14 original posts, its engagement rate beats 64% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 39K times each, and 0.85% of those impressions turn into an interaction. That is about 15.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 86% carry an image or video and 7% link out. The account's strongest tracked post pulled 33K interactions, about 100x its own typical post.

What is Irene Zhao's engagement rate on X?
Irene Zhao (@Irenezhao_) has an engagement rate of 0.13%, based on the median interactions across 14 original posts from the last 30 days against 252,804 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.13%, Irene Zhao sits above the 25th percentile of the 205,374 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 @Irenezhao_ have real engagement?
Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @Irenezhao_ post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 0.73 posts per day across the measured window.

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