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Fun Viral Vids 😊 engagement report

@Fun_Viral_Vids - 1.4M followers on X

Measured over 75 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Middle of its size range
Per follower
0.063%
of 1.4M followers
Per impression
1.23%
72K views on a typical post
Reach
5.09%
of its followers see a post
Typical post
882
interactions (median)
Saved
0.112%
80 bookmarks on a typical post
Posting rate
2.5/day
active 87% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 882 interactions against 1.4M followers, an engagement rate of 0.063%. Measured over 75 original posts, its engagement rate beats 65% of 15,519 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 72K times each, and 1.23% of those impressions turn into an interaction. That is about 5.09% 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, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 75 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 32K interactions, about 36x its own typical post.

Measured over 75 original posts from a 30-day window, last computed on October 7, 2026.

Compared with accounts its own size

Fun Viral Vids 😊's engagement rate beats 65% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 10 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 55% 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 0.063%, Fun Viral Vids 😊 sits above the 25th percentile of the 156,148 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.127%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 156,148 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,016 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.3%

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 16:00 UTC, and Tuesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 link1% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 1% 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 132 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

  • Aug 23, 202636x their median

    Damn, my lady! In front of everyone? So close but... She didn’t let it drop https://t.co/fEZqZKXPWi

    30K1.1K737626.4M viewsView on X
  • Oct 5, 202626x their median

    Breastfeeding has no schedule https://t.co/e7FIXiUkLC

    22K1.2K2381972.1M viewsView on X
  • Aug 13, 202622x their median

    I'm a man, but if I were a woman, I would admire the beauty of these women, who seem to have been sculpted by angels themselves 😍πŸ₯° https://t.co/pztgRVSc0B

    18K59525934795K viewsView on X
  • Aug 21, 202622x their median

    Hands of steel! Watch out! SheΒ΄s definitely my kind of woman https://t.co/5qhopTx5pg

    18K658448652.3M viewsView on X
  • Aug 22, 202618x their median

    A coincidence makes you think you have hidden superpowers https://t.co/I6qns7kJEz

    15K691221542.9M viewsView on X
  • Sep 2, 202617x their median

    Paola went to watch the show from the VIP section, but she never imagined that she would be the one to steal the show and take the spotlight away from CocoBongo. Watch it until the end!πŸ”₯ https://t.co/SGH1Ro5i2B

    14K5984661.1M viewsView on X
  • Aug 16, 202614x their median

    We die of grief, and they die of laughter https://t.co/tIEedNdTk0

    11K96510280689K viewsView on X
  • Aug 22, 202614x their median

    Some girl shit you won't understand https://t.co/PchJU5mzeE

    11K441294351.7M viewsView on X
  • Aug 13, 202613x their median

    She has gone and fooled herself again I have to admit this is so smartπŸ˜‰ https://t.co/MG0fimcfjq

    10K705218763.0M viewsView on X
  • Aug 24, 20267.3x their median

    The cameraman had a job to do, and you have to admit he has a good focus https://t.co/WAQR18ytHs

    6.2K168483363K 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 882 interactions against 1.4M followers, an engagement rate of 0.063%. Measured over 75 original posts, its engagement rate beats 65% of 15,519 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 72K times each, and 1.23% of those impressions turn into an interaction. That is about 5.09% 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, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 75 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 32K interactions, about 36x its own typical post.

What is Fun Viral Vids 😊's engagement rate on X?
Fun Viral Vids 😊 (@Fun_Viral_Vids) has an engagement rate of 0.063%, based on the median interactions across 75 original posts from the last 30 days against 1,408,240 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.063%, Fun Viral Vids 😊 sits above the 25th percentile of the 156,148 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 @Fun_Viral_Vids have real engagement?
Its engagement rate beats 65% of the tracked X accounts closest to it in follower count (15,519 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 @Fun_Viral_Vids post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 2.5 posts per day across the measured window.

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