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Aziz Ansari engagement report

@azizansari - 8.3M followers on X

Measured over 8 original posts from a 30-day window, last computed on October 27, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 8.3M followers
Per impression
0.037%
35K views on a typical post
Reach
0.43%
of its followers see a post
Typical post
13
interactions (median)
Saved
0.001%
0 bookmarks on a typical post
Posting rate
0.3/day
active 30% of days
Peak time
14:00 UTC
Thursday

A typical post picks up 13 interactions against 8.3M followers, an engagement rate of 0%. Measured over 8 original posts, its engagement rate beats 3% of 21,185 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 35K times each, and 0.037% of those impressions turn into an interaction. That is about 0.425% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 22K interactions, about 1716x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on October 27, 2026. Recurring tag: #linkinbio.

Compared with accounts its own size

Aziz Ansari's engagement rate beats 3% of the tracked X accounts closest to it in follower count (21,185 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 2% 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%, Aziz Ansari sits below the 10th percentile of the 211,975 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 211,975 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,461 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 percentile0.025%
50th percentile0.146%
75th percentile0.694%
90th percentile2.61%
99th percentile83.1%

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 Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 link100% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% 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 159 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

  • Jul 20, 20261716x their median

    Reading someone’s text messages out at MSG. https://t.co/7MdkfsXTFe

    22K32214616610K viewsView on X
  • May 3, 2026106x their median

    Karoline Leavitt holds a press briefing at the White House with Pete Hegseth and Kash Patel https://t.co/08tr0hx7Er

    12K1.8K270135723K viewsView on X
  • Sep 18, 2026881x their median

    Aziz on Bo French on all those Indian dudes at that football game. https://t.co/5wX5NBltaC

    9.4K9858552091.6M viewsView on X
  • May 10, 202636x their median

    A Secretary of War, a Supreme Court Justice, and an FBI Director walk into a bar https://t.co/yGACw2vf4e

    4.1K6419290699K viewsView on X
  • Jul 29, 2026251x their median

    Parks Throwback: @mradamscott and I can’t get through this scene. https://t.co/UxBf0groyz

    3.2K85146277K viewsView on X
  • Jun 16, 202611x their median

    London Tube vs the New York Subway https://t.co/LKJSJAhCwc

    2.3K75218334K viewsView on X
  • Aug 8, 2026175x their median

    Parks Pom Pom Outake - one of the rare times I made the legend Nick Offerman break. #outtakes #tv https://t.co/I86GeIS8e8

    2.2K4761274K viewsView on X
  • Sep 19, 2026151x their median

    Aziz the US Open crowd. https://t.co/ce1Z5jeQit

    1.9K67237269K viewsView on X
  • Sep 7, 2026127x their median

    Happy Labor Day! https://t.co/qIR7JyWv9Y

    1.5K1042010185K viewsView on X
  • Nov 26, 202511x their median

    Mamdani change the locks! 🔐 https://t.co/CeKWkVSDPb

    1.4K69173287K 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

#linkinbio

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 13 interactions against 8.3M followers, an engagement rate of 0%. Measured over 8 original posts, its engagement rate beats 3% of 21,185 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 35K times each, and 0.037% of those impressions turn into an interaction. That is about 0.425% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 22K interactions, about 1716x its own typical post.

What is Aziz Ansari's engagement rate on X?
Aziz Ansari (@azizansari) has an engagement rate of 0%, based on the median interactions across 8 original posts from the last 30 days against 8,274,048 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At under 0.001%, Aziz Ansari sits below the 10th percentile of the 211,975 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 @azizansari have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (21,185 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 @azizansari post?
Most posts go out around 14:00 UTC, and Thursday is its busiest day, at roughly 0.3 posts per day across the measured window.

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