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Funny Or Die engagement report

@funnyordie - 11M followers on X

Measured over 10 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 11M followers
Per impression
0.103%
45K views on a typical post
Reach
0.42%
of its followers see a post
Typical post
46
interactions (median)
Saved
0.019%
8 bookmarks on a typical post
Posting rate
0.33/day
active 33% of days
Peak time
22:00 UTC
Monday

A typical post picks up 46 interactions against 11M followers, an engagement rate of 0%. Measured over 10 original posts, its engagement rate beats 6% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 45K times each, and 0.103% of those impressions turn into an interaction. That is about 0.423% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 22K interactions, about 487x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 24, 2026. Recurring tag: #ad.

Compared with accounts its own size

Funny Or Die's engagement rate beats 6% of the tracked X accounts closest to it in follower count (20,182 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 7% 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 under 0.001%, Funny Or Die sits below the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 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 percentile0.677%
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 22:00 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% 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.
  • 0% 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 103 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

  • Jun 22, 2026487x their median

    This is why you can't go to the bathroom when you're wearing a romper... https://t.co/EmSJtBDlp2

    22K6229716998K viewsView on X
  • Jul 16, 202615x their median

    Watch Good Cop, Baby Cop on YouTube #happybirthdaywill https://t.co/chZorJUqu4

    509635781K viewsView on X
  • Aug 25, 202610x their median

    RIP to this legend. @DollyParton https://t.co/Y3k9q5QygO

    444281144K viewsView on X
  • Jul 10, 202612x their median

    What's a hall pass? Owen Wilson has a great example. https://t.co/0CHBMlqaNI

    4233374111K viewsView on X
  • Sep 28, 20265.7x their median

    RFK would love this... https://t.co/yuhcNH2YH8

    227256268K viewsView on X
  • Jul 7, 20265.0x their median

    NEW 'The Little Mermaid' live-action starring AnnaSophia Robb and Evan Peters. https://t.co/puRQYKe1Gd

    1791802124K viewsView on X
  • Jun 26, 20264.5x their median

    Pauly Shore as Stephen Miller https://t.co/DiQo7LAUWp

    161245549K viewsView on X
  • Oct 2, 20264.0x their median

    Nobody knows what Tom Brady is saying... https://t.co/QrzBE890wz

    168151068K viewsView on X
  • Jun 19, 20263.4x their median

    Tig Notaro tries to figure out who Melissa Joan Hart is https://t.co/1FB7gVU8Yg

    142199264K viewsView on X
  • Aug 14, 20263.7x their median

    What does it take to be Dave Franco’s dream girl? https://t.co/W4434LgaUN

    1521171114K 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

#ad

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 46 interactions against 11M followers, an engagement rate of 0%. Measured over 10 original posts, its engagement rate beats 6% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 45K times each, and 0.103% of those impressions turn into an interaction. That is about 0.423% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 22K interactions, about 487x its own typical post.

What is Funny Or Die's engagement rate on X?
Funny Or Die (@funnyordie) has an engagement rate of 0%, based on the median interactions across 10 original posts from the last 30 days against 10,558,212 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At under 0.001%, Funny Or Die sits below the 10th percentile of the 204,491 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 @funnyordie have real engagement?
Its engagement rate beats 6% of the tracked X accounts closest to it in follower count (20,182 accounts), which puts it in the bottom 10% for its size 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 @funnyordie post?
Most posts go out around 22:00 UTC, and Monday is its busiest day, at roughly 0.33 posts per day across the measured window.

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