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Ali Spagnola engagement report

@alispagnola - 2.1M followers on X

Measured over 1 original post from a 30-day window, last computed on August 20, 2026.

Engagement

Middle of its size range
Per follower
0.006%
of 2.1M followers
Per impression
0.301%
39K views on a typical post
Reach
1.86%
of its followers see a post
Typical post
118
interactions (median)
Saved
0.005%
2 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
22:00 UTC
Friday

Early reading. We have captured 1 original post 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 118 interactions against 2.1M followers, an engagement rate of 0.006%. Measured over 1 original post, its engagement rate beats 44% of 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 39K times each, and 0.301% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 6.9K interactions, about 58x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on August 20, 2026.

Compared with accounts its own size

Ali Spagnola's engagement rate beats 44% of the tracked X accounts closest to it in follower count. A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

Where this sits in the catalog

At 0.006%, Ali Spagnola sits above the 10th percentile of the 9,981 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.007%.

p100.001%
p250.007%
p50 (median)0.047%
p750.325%
p902.60%
p99357.9%
Engagement rate as a share of followers, across the 9,981 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 447,404 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 percentile0.001%
25th percentile0.007%
50th percentile0.047%
75th percentile0.325%
90th percentile2.60%
99th percentile357.9%

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 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 96%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 UTC0%15K
01:00 UTC+4%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-5%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%17K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%29K
15:00 UTC-1%30K
16:00 UTC-1%30K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%24K
20:00 UTC0%22K
21:00 UTC+1%19K
22:00 UTC+1%17K
23:00 UTC+1%15K
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 96%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%59K
Monday+8%72K
Tuesday+1%94K
Wednesday-4%78K
Thursday-3%71K
Friday-5%73K
Saturday+2%64K
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 video0% of posts+79%+73% to +85%5.8K
Outbound link100% of posts-49%-50% to -47%6.1K
Typical length--7%-8% to -5%9.0K
  • 0% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 108 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 7% 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

  • Nov 16, 201758x their median

    2 years ago I said "Want to make the world a funnier, more Outrageous place?"...and it worked. WE STARTED DOING THAT TOGETHER→https://t.co/FKVewYBQQr Today I'm calling YOU to get in on it. Here's how to join my OUTRAGEOUS TEAM→https://t.co/2IuDczLyP1 https://t.co/h4DXzt35Vo

    5.2K99362158View on X
  • Aug 14, 2026

    Oh hello, I'm on Spotify now if you're a Spotify-type-person and wanna watch AD FREE https://t.co/xjHT7FRrw5

    10792039K viewsView on X
  • Mar 30, 2026

    Making music with my new favorite instrument https://t.co/WIKsbTjYHj

    6874319K viewsView on X
  • Apr 8, 2026

    Peeps last forever so my art will last forever! https://t.co/rxDQQTjt4B

    7452014K viewsView on X
  • Apr 7, 2026

    I turned my car into a giant Easter Egg! https://t.co/y1QOro22sI

    7241017K viewsView on X
  • Apr 7, 2026

    I dressed up as the Easter Bunny during Quarantine! https://t.co/CdR2P3h8Fk

    4321008.7K viewsView on X
  • Apr 7, 2026

    I made a GIANT Cotton Candy Bunny https://t.co/Ro4YjFm413

    5460010K viewsView on X
  • Apr 6, 2026

    Will this be the softest couch ever? https://t.co/4LrTEqCDpB

    4754118K viewsView on X
  • Apr 3, 2026

    A perfectly normal rug to make https://t.co/og0DsxmIZy

    4162212K viewsView on X
  • Apr 1, 2026

    I turned my car into a giant MOOD RING https://t.co/qHvGC2n5xa

    4241113K 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 118 interactions against 2.1M followers, an engagement rate of 0.006%. Measured over 1 original post, its engagement rate beats 44% of 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 39K times each, and 0.301% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 6.9K interactions, about 58x its own typical post. Only 1 original post 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 Ali Spagnola's engagement rate on X?
Ali Spagnola (@alispagnola) has an engagement rate of 0.006%, based on the median interactions across 1 original posts from the last 30 days against 2,106,600 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Ali Spagnola sits above the 10th percentile of the 9,981 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 @alispagnola have real engagement?
Its engagement rate beats 44% of the tracked X accounts closest to it in follower count, 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 @alispagnola post?
Most posts go out around 22:00 UTC, and Friday is its busiest day, at roughly 0.03 posts per day across the measured window.

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