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Rita Panahi engagement report

@RitaPanahi - 512K followers on X

Measured over 7 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Per follower
0.91%
of 512K followers
Per impression
7.10%
66K views on a typical post
Reach
12.8%
of its followers see a post
Typical post
4.7K
interactions (median)
Saved
0.117%
77 bookmarks on a typical post
Posting rate
1.5/day
active 33% of days
Peak time
07:00 UTC
Sunday

Early reading. We have captured 7 original posts 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 4.7K interactions against 512K followers, an engagement rate of 0.91%. Posts are seen about 66K times each, and 7.10% of those impressions turn into an interaction. That is about 12.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 07:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 38K interactions, about 8.2x its own typical post. Only 7 original posts 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 7 original posts from a 30-day window, last computed on October 18, 2026. Recurring tag: #auspol.

Where this sits in the catalog

At 0.91%, Rita Panahi sits above the 75th percentile of the 205,881 accounts in this comparison. That places it in the top 25% band, which runs 0.68% to 2.56%.

p100.004%
p250.024%
p50 (median)0.143%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,881 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.68%
90th percentile2.56%
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 07:00 UTC, and Sunday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 link0% 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.
  • 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 112 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 25, 20268.2x their median

    An amazing video of Dolly Parton singing one of her most famous songs in Páidí Ó Sé’s pub in Ventry Co. Kerry 🇮🇪 in 1990 How did Páidí pull that coup off #RIPDolly https://t.co/sYBawY4ryD

    32K5.3K4715452.1M viewsView on X
  • Sep 1, 20268.0x their median

    We live in a nation where this man was more at risk of a murder conviction that Lindsay Clancy is. https://t.co/uG4qjTKZVx

    33K3.7K11573265K viewsView on X
  • Oct 18, 20265.8x their median

    When the "well meaning" Left realise what they've unleashed... https://t.co/twTWM9ezjd

    22K3.6K819305361K viewsView on X
  • Aug 24, 20265.3x their median

    They’re really showing their true colors. Everybody was all pride this inclusion that until Roysha popped on the scene, now it’s get surgery, take hormones, wear a dress? The hypocrisy is astounding! These haters don’t care about Blacks, they don’t care about Womxn and they don’t care about Transgenders. Y’all are fake allies! You don’t know my struggle. They deny my existence and participate in this trans genocide, because I say it like it is? Black womxn can’t even call a spade a spade out here? Being 👏🏽 A 👏🏽 Womxn 👏🏽 is an experience! It’s not biological or scientific. Evolutionary biology is cis normative, patriarchal, white supremacy! There is no such thing as gender, it’s a choice, it’s fluid. Like my body is my choice and it’s full of fluid. I am both, I am neither, I am beyond! This is my ladyboy magic era. The moon is in the house of Capricorn! Okkkkkur! 🤏🏽 Royce White for President WNBA #LetRoyshaPlay

    21K2.9K686154303K viewsView on X
  • Aug 30, 20264.1x their median

    The attacks from Chalmers and Albanese on One Nation have become increasingly desperate. Yesterday they crossed a line. No matter how worried Jim and Albanese are about losing their jobs, telling Australians that their democratically elected opponents are “dangerous” and a “threat to our country” invites people to treat them as a threat. Words have consequences. That is how political violence is incited. The murder of Ann Widdecombe in Britain should be warning enough about the dangers of poisonous political rhetoric. Anthony Albanese says we need to turn down the heat and violent rhetoric in our political discourse. Meanwhile, he and his Treasurer are pouring petrol all over it. Australians are entitled to vote for One Nation without being told by the Treasurer and the Prime Minister that their democratic choice is a danger to the nation. The real danger is that Jim and Albanese's incompetent economic management will continue to push your rent, your mortgage and your bills even higher. The real danger to Jim and Albanese is that the people of Australia are coming for their government… at the ballot box.

    16K2.5K871208301K viewsView on X
  • Sep 17, 20263.3x their median

    How it started How it's going https://t.co/7OkpGqydGA

    13K2.1K13685400K viewsView on X
  • Dec 8, 20252.5x their median

    🥳 https://t.co/wFdUH8cDop https://t.co/eXpGOk20MR

    9.6K97488263683K viewsView on X
  • Sep 11, 20234.2x their median

    Nearly 3,000 New Yorkers died on 9/11; 22 years later, the death hasn't stopped. We mourn our neighbors who died that day. The hundreds of thousands who died in the wars that followed. The unknown millions injured & displaced. In their memory, we work toward a better world.

    4.3K2495.3K9339.5M viewsView on X
  • Oct 4, 20261.6x their median

    "Weak men create hard times..." https://t.co/7P7YCSYtMi

    6.6K7991893875K viewsView on X
  • Sep 14, 2026

    I'd take the Sydney Sweeney-inspired meltdown a little more seriously if these women had supported Sophie Cunningham, Riley Gaines & others in the firing line for protecting women's sports. PS: if you post videos of yourself working out in essentially underwear then it's a little rich to blame Sweeney for objectifying women. PPS: I don't like the ad either but I'm not the target market. It's a gambling ad, not a promotion of women's sport.

    6.2K42616322160K 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

#auspol

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 4.7K interactions against 512K followers, an engagement rate of 0.91%. Posts are seen about 66K times each, and 7.10% of those impressions turn into an interaction. That is about 12.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 07:00 UTC, and Sunday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 38K interactions, about 8.2x its own typical post. Only 7 original posts 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 Rita Panahi's engagement rate on X?
Rita Panahi (@RitaPanahi) has an engagement rate of 0.91%, based on the median interactions across 7 original posts from the last 30 days against 512,375 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.91%, Rita Panahi sits above the 75th percentile of the 205,881 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 @RitaPanahi have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @RitaPanahi post?
Most posts go out around 07:00 UTC, and Sunday is its busiest day, at roughly 1.5 posts per day across the measured window.

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