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Paris Hilton engagement report

@ParisHilton - 14M followers on X

Measured over 32 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.008%
of 14M followers
Per impression
0.969%
120K views on a typical post
Reach
0.87%
of its followers see a post
Typical post
1.2K
interactions (median)
Saved
0.024%
28 bookmarks on a typical post
Posting rate
1.13/day
active 63% of days
Peak time
18:00 UTC
Thursday

A typical post picks up 1.2K interactions against 14M followers, an engagement rate of 0.008%. Measured over 32 original posts, its engagement rate beats 43% of 3,739 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 120K times each, and 0.969% of those impressions turn into an interaction. That is about 0.869% 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 63% of days. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 32 posts sampled, 34% carry an image or video and 19% link out. The account's strongest tracked post pulled 35K interactions, about 30x its own typical post. Recurring topics include #pawpatrolmovie, #cutesiecrew, #littlehiltons.

Measured over 32 original posts from a 30-day window, last computed on August 31, 2026. Recurring tags: #pawpatrolmovie, #cutesiecrew, #littlehiltons.

Compared with accounts its own size

Paris Hilton's engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,739 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 55% 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 0.008%, Paris Hilton sits above the 10th percentile of the 36,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.431%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,137 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.431%
90th percentile2.10%
99th percentile160.7%

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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 18:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%51K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%71K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%93K
14:00 UTC-3%96K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%229K
Monday0%284K
Tuesday-2%273K
Wednesday-1%250K
Thursday-2%243K
Friday-3%251K
Saturday+3%226K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 20, 202630x their median

    Heartbroken over the loss of my friend Hayden 💔🥺 She was such a beautiful soul — so talented, strong, kind and full of so much love and light. ✨ It’s impossible to believe she’s gone😢 I’ll always cherish our friendship, all the memories we shared, and the special moments we had together. 🥺💖 My heart is with her family and everyone who loved her during this unimaginable time. 🙏 Love you forever, Hayden. Rest in peace, angel. 🕊️✨ You will be so deeply missed💔

    32K2.0K40861598K viewsView on X
  • Aug 25, 202626x their median

    Heartbroken to hear about Queen @DollyParton’s passing 😭💔 She was a true icon and such an inspiration to me. Her talent, heart and kindness touched so many lives, and she truly left this world better than she found it 🥹✨ Sending all my love to her family, friends and everyone who loved her. Rest in peace, Dolly 🤍🕊️

    28K2.1K34236288K viewsView on X
  • Aug 26, 202611x their median

    I’ll never forget the first time I had the pleasure of meeting @DollyParton 💖 She was every bit as kind, warm and wonderful as I imagined, and being in her presence was so inspiring 🥹✨ I feel so grateful that I had the chance to meet such a legendary woman and experience that beautiful spirit firsthand. 🤍 Rest in peace, Dolly. Your light and legacy will live on forever 🤍🕊️✨

    12K1.0K24316227K viewsView on X
  • Jul 17, 20263.5x their median

    Remember last week when the girls Provo Canyon School’s license was revoked? They’ve now officially shut down the boys. Provo Canyon school underestimated me. They messed with the wrong girl, and now they can never hurt another child again. ❤️ Read more from @jm_miller https://t.co/326rpSf1fM

    3.7K2761181882K viewsView on X
  • Jul 29, 20262.5x their median

    Barbiemaxxing at @tomorrowland #Tomorrowland 💖 https://t.co/oxXLfkaVvH

    2.5K21220416440K viewsView on X
  • Aug 5, 20262.5x their median

    11:11 💫

    2.4K184205817.1M viewsView on X
  • Aug 13, 20261.7x their median

    Another dreamy summer aboard @SunreefYachts with my #CutesieCrew☀️🚢🥰💕 https://t.co/RLsraIAxlh

    1.7K951159162K viewsView on X
  • Aug 8, 20261.6x their median

    11:11

    1.4K17222330207K viewsView on X
  • Aug 20, 20261.6x their median

    Pink gingham is my new summer obsession 😍✨🎀 From baking to hosting, everything is better in pink 💕👩🏼‍🍳✨ Shop my iconic limited-edition collection now on @Amazon! 💖 https://t.co/nVJrRl8hhi https://t.co/V8DUX0ibkP

    1.5K1511171586K viewsView on X
  • Aug 13, 2026

    Vacation mode looks better with #Parívie 🛥⛱🌊💕✨ https://t.co/mOtEz0ARmR

    1.4K1411431599K 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

#pawpatrolmovie#cutesiecrew#littlehiltons#parívie

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 1.2K interactions against 14M followers, an engagement rate of 0.008%. Measured over 32 original posts, its engagement rate beats 43% of 3,739 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 120K times each, and 0.969% of those impressions turn into an interaction. That is about 0.869% 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 63% of days. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 32 posts sampled, 34% carry an image or video and 19% link out. The account's strongest tracked post pulled 35K interactions, about 30x its own typical post. Recurring topics include #pawpatrolmovie, #cutesiecrew, #littlehiltons.

What is Paris Hilton's engagement rate on X?
Paris Hilton (@ParisHilton) has an engagement rate of 0.008%, based on the median interactions across 32 original posts from the last 30 days against 13,805,719 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Paris Hilton sits above the 10th percentile of the 36,261 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 @ParisHilton have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,739 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 @ParisHilton post?
Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.13 posts per day across the measured window.

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