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ديكور _وظل engagement report

@xibx666 - 82K followers on X

Measured over 5 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Per follower
0.007%
of 82K followers
Per impression
0.106%
5.6K views on a typical post
Reach
6.87%
of its followers see a post
Typical post
6
interactions (median)
Saved
0.035%
2 bookmarks on a typical post
Posting rate
0.9/day
active 60% of days
Peak time
10:00 UTC
Wednesday

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 6 interactions against 82K followers, an engagement rate of 0.007%. Posts are seen about 5.6K times each, and 0.106% of those impressions turn into an interaction. That is about 6.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 20% link out. The account's strongest tracked post pulled 74 interactions, about 12x its own typical post. Recurring topics include #ترميم, #تشطيب, #تصميم. 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 4, 2026. Recurring tags: #ترميم, #تشطيب, #تصميم.

Where this sits in the catalog

At 0.007%, ديكور _وظل sits above the 10th percentile of the 66,393 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.5%

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 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: 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: 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 video100% of posts+111%+108% to +115%34K
Outbound link20% 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.
  • 20% 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 190 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

  • Jul 24, 202612x their median

    طريقة ممتازة جدا. _تثبيت حجر الكارنيش _عزل مائي للحمايه من دخول مياه الأمطار #عوازل #افكار #نصائح https://t.co/toM8DZeONk

    60113073K viewsView on X
  • Sep 2, 20269.5x their median

    طريقة تنفيذ التشريك للخرسانة 👇 2_تحديد مواقع الأشاير وتوزيعها حسب المخطط الإنشائي. 3_تخريم الخرسانة عمل الفتحات بالقطر والعمق المناسبين لحديد التشريك. 4_تنظيف الفتحات إزالة الغبار وبقايا الحفر جيدًا لضمان قوة التثبيت. حقن المادة الكيميائية 4_حقن مادة التثبيت داخل الفتحات، ثم إدخال الحديد مع تحريكه دائريًا. 5_ربط حديد التسليح بعد جفاف المادة، تُربط الأشاير بحديد الصبة الجديدة مع ضبط المسافات والمناسيب. الفيديو منقول للفائدة فقط

    525006.4K viewsView on X
  • Aug 14, 20269.3x their median

    مفيدة الارتداد والمساحة الصغيره #تصميم #ترميم #تشطيب https://t.co/B9u2Axb2wB

    5051010K viewsView on X
  • Aug 4, 20262.5x their median

    فكره أعجبتني #افكار https://t.co/DRFReuluR6

    141003.2K viewsView on X
  • Jul 22, 20261.7x their median

    مظلات متحركه سحب يدويه #مظلات #مظلات_متحركه #مظلات_سيارات https://t.co/ggVTgIMEow

    82003.0K viewsView on X
  • Jul 22, 20261.7x their median

    سقالة معلقه في أعلى البناء لا صعب مكان ممكن وصوله #مقاولات #مهندس #بناء https://t.co/NcSf9N2toh

    82003.0K viewsView on X
  • Aug 4, 20261.5x their median

    سلم متعدد...الاستخدامات https://t.co/nNvGP87EHX

    80104.8K viewsView on X
  • Aug 11, 2026

    تطور التكنولوجيا في أعمال البناء 👷‍♂️🤖 ماكينة حديثة تساعد في تركيب البلاط آليًا بدقة وسرعة عالية، وتوضح إلى أين تتجه تقنيات التنفيذ في قطاع البناء. هل تتوقع أن تقلل هذه التقنيات الاعتماد على العمالة مستقبلًا؟ 👇 #البناء #تقنية_البناء #بلاط #تشطيبات #مقاولات #هندسة #ابتكارات https://t.co/gq4baMenTC

    41102.6K viewsView on X
  • Aug 12, 2026

    اعمل بإتقان او لا تعمل https://t.co/tzkjW6DRer

    10102.6K viewsView on X
  • Sep 2, 2026

    روبوت يركّب الباب بكل دقة! 🤖 هل اقترب زمن الاستغناء عن العمالة؟ #ابتكار https://t.co/xyzqVQVRiL

    00005.6K 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.

Recurring topics

#ترميم#تشطيب#تصميم#ابتكار#افكار

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 6 interactions against 82K followers, an engagement rate of 0.007%. Posts are seen about 5.6K times each, and 0.106% of those impressions turn into an interaction. That is about 6.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 20% link out. The account's strongest tracked post pulled 74 interactions, about 12x its own typical post. Recurring topics include #ترميم, #تشطيب, #تصميم. 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 ديكور _وظل's engagement rate on X?
ديكور _وظل (@xibx666) has an engagement rate of 0.007%, based on the median interactions across 5 original posts from the last 30 days against 82,055 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, ديكور _وظل sits above the 10th percentile of the 66,393 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 @xibx666 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @xibx666 post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 0.9 posts per day across the measured window.

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