Back to @Housebots's profile

Aliholly engagement report

@Housebots - 86K followers on X

Measured over 16 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Middle of its size range
Per follower
0.02%
of 86K followers
Per impression
0.34%
5.0K views on a typical post
Reach
5.83%
of its followers see a post
Typical post
17
interactions (median)
Saved
0.02%
1 bookmarks on a typical post
Posting rate
1.07/day
active 57% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 17 interactions against 86K followers, an engagement rate of 0.02%. Measured over 16 original posts, its engagement rate beats 26% of 20,444 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 5.0K times each, and 0.34% of those impressions turn into an interaction. That is about 5.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 16 posts sampled, 56% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 25K interactions, about 1499x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on September 30, 2026.

Compared with accounts its own size

Aliholly's engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,444 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 17% 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 0.02%, Aliholly sits above the 10th percentile of the 205,261 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 16:00 UTC, and Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video56% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 56% 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 110 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 11, 20261499x their median

    AOC has a nice ass. Follow: @DissidentWire https://t.co/8wm6CSAk5k

    23K5271.6K20111M viewsView on X
  • Apr 26, 202668x their median

    Why does Cole Allen have an IDF sweatshirt? https://t.co/T0CTpYO9QD

    16K4.0K576270799K viewsView on X
  • May 17, 202651x their median

    Ronda Rousey caught on camera rehearsing the script before the “fight” https://t.co/kwdWdulDOl

    14K6811.1K1626.6M viewsView on X
  • Aug 1, 2026924x their median

    She was captured at her worst moment https://t.co/84dG6qUzon

    15K37541496.1M viewsView on X
  • May 8, 202650x their median

    This is the Texas Prison where Tanner Horner will be held for the rest of his life until he is executed - Mold everywhere - Near-total isolation in Solitary Confinement - He will face severe abuse from the guards and nobody will care - Average death row stay there: 11 years - Impossible to escape - No privileges - Hard metal beds - Rotting smell - Disgusting food - Every guard knows what he did and will imagine if it was their kid - What he is facing is worse than death -Despite that, his final moments will still be full of fear and agony -No contact with the outside world or ability to cry out for help -No empathy will ever be shown to him again

    13K1.0K1.8K1991.7M viewsView on X
  • Apr 15, 202646x their median

    There is only one world leader who is willing to fight back against the Israeli government https://t.co/OfHIOIXViv

    12K1.6K23975154K viewsView on X
  • Aug 3, 2026525x their median

    How is it legal to take photos like this of extremely famous celebrities? https://t.co/iTF6wpG6Ng

    8.6K1251765879K viewsView on X
  • Sep 25, 2026452x their median

    Trump and Xi walk passed JD Vance and Ivanka without even saying hi and he can’t believe it https://t.co/e2N1QirDtE

    6.6K505488701.2M viewsView on X
  • Aug 13, 2026267x their median

    Never wear a dress like this on a windy day or this will happen https://t.co/2lMcSnAq0F

    4.3K1486752.5M viewsView on X
  • Aug 5, 2026145x their median

    The Trump Administration just rolled out the revised 340B Rebate Model Pilot Program. It’s about time. This program has exploded to nearly $100 billion in just three years. The low-income patients it was created to help are getting almost none of that money. So where’s it all going? Big tax-exempt hospital systems have turned 340B into a cash cow. They buy drugs at steep discounts, bill patients and insurers the full price, and pocket the difference. These aren’t small rural clinics struggling to stay open. They’re massive hospital chains with armies of lobbyists in Washington fighting to keep anyone from checking how they spend the money. Zero real oversight is a recipe for fraud. Just look at what recently happened in Florida: a Haitian immigrant fraudster used a fake nonprofit clinic to rip off $58 million through 340B. He bought a $2.5 million mansion, a Bentley, and a fleet of Mercedes. Now, he’s headed to prison and is facing a deportation. Good riddance! The new pilot finally adds basic accountability. Instead of handing out automatic discounts up front and hoping for the best, it verifies eligibility with actual claims data before the money moves. Predictably, the hospital lobby is screaming that this will “threaten the safety net.” If billions of dollars in taxpayer-backed drug discounts are flowing every year, making sure they actually reach patients shouldn’t be controversial. The fact that some people treat it like a crisis tells you exactly who’s been cashing in. President Trump put patients ahead of Big Hospital profits, which was the right call. Thank you, President Trump! https://t.co/P8cQvls9eQ

    1.8K5398022505K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 17 interactions against 86K followers, an engagement rate of 0.02%. Measured over 16 original posts, its engagement rate beats 26% of 20,444 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 5.0K times each, and 0.34% of those impressions turn into an interaction. That is about 5.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 16 posts sampled, 56% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 25K interactions, about 1499x its own typical post.

What is Aliholly's engagement rate on X?
Aliholly (@Housebots) has an engagement rate of 0.02%, based on the median interactions across 16 original posts from the last 30 days against 85,534 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.02%, Aliholly sits above the 10th percentile of the 205,261 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 @Housebots have real engagement?
Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,444 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 @Housebots post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 1.07 posts per day across the measured window.

Keep going