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Greta008 engagement report

@Greta0086 - 156K followers on X

Measured over 29 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Middle of its size range
Per follower
0.078%
of 156K followers
Per impression
0.986%
12K views on a typical post
Reach
7.92%
of its followers see a post
Typical post
122
interactions (median)
Saved
0.032%
4 bookmarks on a typical post
Posting rate
1.5/day
active 67% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 122 interactions against 156K followers, an engagement rate of 0.078%. Measured over 29 original posts, its engagement rate beats 50% 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 12K times each, and 0.986% of those impressions turn into an interaction. That is about 7.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 29 posts sampled, 41% carry an image or video and 14% link out. The account's strongest tracked post pulled 33K interactions, about 268x its own typical post.

Measured over 29 original posts from a 30-day window, last computed on September 23, 2026.

Compared with accounts its own size

Greta008's engagement rate beats 50% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 41% 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 0.078%, Greta008 sits above the 25th percentile of the 204,880 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 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 14:00 UTC, and Wednesday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video41% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 41% 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.
  • 14% 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 156 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, 2025268x 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

    21K4.6K3.7K3.5K5.5M viewsView on X
  • May 17, 202259x their median

    抽奖啦!1500个小伙伴啦! 奖品: 说卖200个gal抽奖的,等值1300u。1000u平分给20个中奖的小伙伴,300u给神秘人。等gal到20u,30u了还会给大家抽大奖哦😘 说明: 1-用抽奖工具,有推荐Twitterpicker, appsorteos的,还没选,大家定。 2-点赞转推就可以,没必要@别人。 3-昨天和今天的推各抽10个人。 https://t.co/EFGi8OsFcc

    3.1K2.5K1.6K57View on X
  • Sep 2, 202639x their median

    如果你得了口腔溃疡,而公司里恰好又有咖啡机 然后你喝了咖啡后,发现口腔溃疡很快就好了 不用怀疑,咖啡机里面一定有蟑螂

    3.7K6789021858K viewsView on X
  • Sep 2, 202621x their median

    https://t.co/2y17DZXiK5

    2.0K4107695893K viewsView on X
  • Sep 22, 202611x their median

    Buying variational points at $100/point, DM me

    91244262127314K viewsView on X
  • Aug 28, 20267.7x their median

    今天国内的这些平台女性都说景甜遇到渣男了。。。 这些蠢货一样的女人,真的没救了 重点不应该是自立自强吗?自己搞钱啊~ 还是捞女的思维根深蒂固没有变 两边都不是啥好东西, 对了,现在的孙哥那么油你下的去嘴吗?

    72713195244K viewsView on X
  • Aug 29, 20263.6x their median

    it’s impossible that they hack both domain and X, no? quick thread https://t.co/VySWzj8OGH

    349215417297K viewsView on X
  • Sep 3, 2026

    只有我还在做预测吗? 只有我还在做预测吗? 你们都去打狗去了嘛??? 预测市场再不发是不是就跟opensea一样了???

    61096014K viewsView on X
  • Sep 9, 2026

    我已经玩了一晚上了 红警电脑版和手机版都适配 先准备了8个国家、10张地图 等我再优化优化手机端的操作 我觉得我可以做个手机版红警的对战平台出来,建筑风格往复古红警2调一调,可能老登们玩起来更有感觉。 接下来我在平台里面放上帝国时代2、三国志11这种大家渴望了很多年手机版,却一直迟迟没有的,应该会有一些80、90的元谋人加入进来哈哈~

    56493016K viewsView on X
  • Sep 9, 2026

    不爱发推的我, 已正式沦为废物博主。 https://t.co/yO1BHHzNJu

    5419109.5K 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 122 interactions against 156K followers, an engagement rate of 0.078%. Measured over 29 original posts, its engagement rate beats 50% 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 12K times each, and 0.986% of those impressions turn into an interaction. That is about 7.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 29 posts sampled, 41% carry an image or video and 14% link out. The account's strongest tracked post pulled 33K interactions, about 268x its own typical post.

What is Greta008's engagement rate on X?
Greta008 (@Greta0086) has an engagement rate of 0.078%, based on the median interactions across 29 original posts from the last 30 days against 155,756 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.078%, Greta008 sits above the 25th percentile of the 204,880 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 @Greta0086 have real engagement?
Its engagement rate beats 50% 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 @Greta0086 post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.5 posts per day across the measured window.

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