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Hippie Butter engagement report

@hippiebutter - 97K followers on X

Measured over 24 original posts from a 30-day window, last computed on September 15, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 97K followers
Per impression
0.948%
211 views on a typical post
Reach
0.22%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.7/day
active 40% of days
Peak time
16:00 UTC
Friday

A typical post picks up 2 interactions against 97K followers, an engagement rate of 0.002%. Measured over 24 original posts, its engagement rate beats 6% 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 211 times each, and 0.948% of those impressions turn into an interaction. That is about 0.218% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 24 posts sampled, 96% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 593x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on September 15, 2026. Recurring tag: #dopeydon.

Compared with accounts its own size

Hippie Butter's engagement rate beats 6% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 39% 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 0.002%, Hippie Butter sits below the 10th percentile of the 213,186 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,186 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,400 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 16:00 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: 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video96% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 96% 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 45 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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 21, 2026593x their median

    It's all staged! America is living the biggest scam in its 250 year history! She lied on her visa application. Maybe she should be deported like anyone else? https://t.co/UyNFY7Y9tS

    79630771125.6K viewsView on X
  • Aug 20, 20264.0x their median

    https://t.co/s6ItvAxb8z

    5210212 viewsView on X
  • Aug 19, 20263.5x their median

    https://t.co/MRODYzqprP

    5200150 viewsView on X
  • Sep 11, 20262.5x their median

    https://t.co/fHf3MOISQM

    4100210 viewsView on X
  • Sep 13, 20262.0x their median

    Trump landed in Ireland to a field-sized "F--- TRUMP" under his flight path and thousands marching in Dublin. He says he didn't know there was a protest. It is not a state visit. He is in the country for one night, to watch the Irish Open at the resort he owns in Doonbeg. https://t.co/Y6jxE5tGnL

    3100429 viewsView on X
  • Sep 13, 20262.0x their median

    https://t.co/SYiMzcfGE8

    3100318 viewsView on X
  • Sep 8, 20262.0x their median

    https://t.co/iFQAvwTelR

    4000250 viewsView on X
  • Sep 13, 20261.5x their median

    https://t.co/JHdJeHQSvC

    3000254 viewsView on X
  • Sep 11, 2026

    https://t.co/HWUrMf29yC

    2000273 viewsView on X
  • Sep 11, 2026

    Woohoo! Hey MAGA! You did it. Diesel crosses $6 a gallon nationally for the first time in history in the U.S. bet you proud now

    2000468 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

#dopeydon

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 2 interactions against 97K followers, an engagement rate of 0.002%. Measured over 24 original posts, its engagement rate beats 6% 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 211 times each, and 0.948% of those impressions turn into an interaction. That is about 0.218% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 24 posts sampled, 96% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 593x its own typical post.

What is Hippie Butter's engagement rate on X?
Hippie Butter (@hippiebutter) has an engagement rate of 0.002%, based on the median interactions across 24 original posts from the last 30 days against 96,591 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Hippie Butter sits below the 10th percentile of the 213,186 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 @hippiebutter have real engagement?
Its engagement rate beats 6% 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 @hippiebutter post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 2.7 posts per day across the measured window.

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