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Ken W engagement report

@kenw_2 - 179K followers on X

Measured over 42 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Middle of its size range
Per follower
0.032%
of 179K followers
Per impression
0.441%
13K views on a typical post
Reach
7.14%
of its followers see a post
Typical post
56
interactions (median)
Saved
0.043%
6 bookmarks on a typical post
Posting rate
2.53/day
active 23% of days
Peak time
10:00 UTC
Friday

A typical post picks up 56 interactions against 179K followers, an engagement rate of 0.032%. Measured over 42 original posts, its engagement rate beats 39% 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 13K times each, and 0.441% of those impressions turn into an interaction. That is about 7.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 42 posts sampled, 88% carry an image or video. The account's strongest tracked post pulled 13K interactions, about 238x its own typical post.

Measured over 42 original posts from a 30-day window, last computed on October 17, 2026.

Compared with accounts its own size

Ken W's engagement rate beats 39% 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 24% 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 0.032%, Ken W sits above the 25th percentile of the 204,798 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 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 10:00 UTC, and Friday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video88% of posts+111%+108% to +115%34K
Outbound link2% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 88% 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.
  • 2% 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 88 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

  • Oct 15, 2026238x their median

    This is the Porsche Mission S, the brand's newest super sports car, inspired by the 356 and 550 Spyder. Porsche says it will "permanently" sit in the brand’s lineup, above the 911, but Porsche has not provided any information on powertrains, specs, or pricing. https://t.co/2m7ImH6KLj

    12K7192594631.2M viewsView on X
  • Oct 13, 2026205x their median

    Here is the Apple HomeView launch video https://t.co/T5B5IhqTkL

    10K5414863941.8M viewsView on X
  • Sep 13, 202649x their median

    The iPhone Duo has six different layouts for any app, and it can seamlessly adapt between them depending on how you’re holding it… Even when it’s half-folded, either vertically or horizontally, apps are optimised to automatically switch to the layout that makes the most sense for how you’re using it. That’s what we call a perfect integration between hardware and software 😮‍💨

    2.5K200262382K viewsView on X
  • Oct 16, 202647x their median

    今天发布今年第 19 款产品 sofatap(沙发瘫),开始 TestFlight 公测! 这两周我大部分 vibe coding 其实不是在书房做的,而是在客厅,用接着电视的那台电脑。agent 在跑任务,我窝在沙发和啵啵一起看电视剧或者是打游戏,需要点一下、回一句的时候,要起身去找键盘鼠标,很不方便… 所以我给自己做了 sofatap:把 iPhone 变成触控板和键盘,躺在沙发上就能操作电视上的电脑,Mac、Windows、Linux 都能用,最新版本还支持索尼和小米的 Google TV。 我一直觉得,现在的个人电脑其实无处不在,但我们不该再被绑在它面前,用坐在桌前、手按键鼠的老方式去用它。sofatap 是第一步。接下来我想让它支持语音,直接跟 agent 说一声,让它全自动去操作电脑。 开源,免费,也在客厅写代码的朋友来试试,有问题直接回复我: 官网:https://t.co/NkfL2mHaOj GitHub:https://t.co/clbKhtt4a0

    2.0K127211237874K viewsView on X
  • Sep 13, 202641x their median

    刚刷到了一则新闻,令人后脊发凉。 河南郑州男子早上把女儿送到幼儿园,然后去两公里外的菜市场买菜,发现女儿坐在陌生大妈的电动车后座,戴着安全头盔,大妈称自己在半路捡到的孩子,幼儿园所一时疏忽孩子自己跑出去的,监控不给看,保安刚好请假,可以减免三个月幼儿园费用。 细思极恐啊🥶 https://t.co/aoCRPv2HVs

    1.9K3684912281K viewsView on X
  • Oct 14, 202635x their median

    这下好了 
谁也不笑谁了,都有斩杀线 https://t.co/PscvNRfalt

    1.5K7039610650K viewsView on X
  • Oct 15, 202623x their median

    如果华为公关成功,这次调查组判定尊界那根能被踩断的刹车踏板没问题卖出去的车不需要召回,那么中国汽车产业不仅将会彻底失去高端可能,甚至所有车都会笼罩在“刹车踏板能踩断”的阴影中,速成车将更加肆无忌惮。

    1.1K20115694K viewsView on X
  • Aug 8, 202620x their median

    苹果官方确认,中国大陆版本的Apple智能使用阿里巴巴的千问模型,且用户的每次请求均会发送至千问,并非类似ChatGPT式的端侧小模型和云端分层协作。 “你的请求及选择发送的附件会发送至千问以回应你的请求。” “若启用来自阿里巴巴的千问扩展,阿里巴巴可能会记录你的请求、附件和会话历史”。 https://t.co/ynko8Ebid3

    7386327714498K viewsView on X
  • Sep 12, 20267.5x their median

    非国行苹果手机迁移大陆esim的方案: 先租个国行air或用自己的国行苹果,在三大运营商写好esim后离境大陆,出关后通过苹果自带的设置,蜂窝数据eSIM号码转移。把esim迁移到外版苹果手机里,此时国行苹果就会失效。再把两个机子同时带回境内。我还没有机会验证能不能行,不知道现在这个漏洞有没有堵上。

    22661844140K viewsView on X
  • Oct 16, 20266.9x their median

    我们在研究刹车到底能不能踩断,大哥直接起飞了。

    3371527856K 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 56 interactions against 179K followers, an engagement rate of 0.032%. Measured over 42 original posts, its engagement rate beats 39% 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 13K times each, and 0.441% of those impressions turn into an interaction. That is about 7.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 42 posts sampled, 88% carry an image or video. The account's strongest tracked post pulled 13K interactions, about 238x its own typical post.

What is Ken W's engagement rate on X?
Ken W (@kenw_2) has an engagement rate of 0.032%, based on the median interactions across 42 original posts from the last 30 days against 179,396 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.032%, Ken W sits above the 25th percentile of the 204,798 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 @kenw_2 have real engagement?
Its engagement rate beats 39% 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 @kenw_2 post?
Most posts go out around 10:00 UTC, and Friday is its busiest day, at roughly 2.53 posts per day across the measured window.

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