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Katherine Deves 🇦🇺 engagement report

@Katherine_deves - 60K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Top 10% for its size
Per follower
1.85%
of 60K followers
Per impression
10.7%
10K views on a typical post
Reach
17.2%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.196%
20 bookmarks on a typical post
Posting rate
1.43/day
active 67% of days
Peak time
04:00 UTC
Wednesday

A typical post picks up 1.1K interactions against 60K followers, an engagement rate of 1.85%. Measured over 18 original posts, its engagement rate beats 92% of 20,445 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 10K times each, and 10.7% of those impressions turn into an interaction. That is about 17.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 100% carry an image or video, 11% are part of a thread and 22% link out. The account's strongest tracked post pulled 6.9K interactions, about 6.3x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

Katherine Deves 🇦🇺's engagement rate beats 92% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 97% 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 1.85%, Katherine Deves 🇦🇺 sits above the 75th percentile of the 205,261 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video100% of posts+111%+108% to +115%34K
Outbound link22% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 22% 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 529 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Jan 14, 20266.3x their median

    🚨🇦🇺URGENT “Combatting Hate Bill 2026" is here... it's WORSE than we feared ❌Dystopian ❌Vague ❌Weaponised 👮Say the wrong thing → 5 years jail for "causing fear" 🚔Wrongthink arrests incoming Watch my full take before they silence us all 🇦🇺 Australia First Always 🇦🇺 https://t.co/GFTXYNMvmm

    5.1K1.4K34868108K viewsView on X
  • Sep 22, 20265.2x their median

    Channel Nine has officially lost the plot. They sent an Australian journalist to the United States to interview the head of the Ku Klux Klan, then tried to link him with One Nation. This is not journalism. It’s a coordinated smear and collusion with the Labor government to bring down One Nation at a time when Labor’s popularity is at an all-time low. I’ve never seen such desperation from the media to bring down a party in my entire lifetime. https://t.co/K6cB0ixozi

    4.2K8565476875K viewsView on X
  • Sep 30, 20262.6x their median

    My ancestors did not die at Gallipoli for this A foreign-born racist implies Australians have no right to be proud of their culture, the British traditions that underpin this nation, and to want their own children to grow up in a society that we recognise Do we have a word for those who are so arrogant as to choose to emigrate to a new country then complain and seek to destroy it? https://t.co/2uSuheaL0C

    2.1K3283884988K viewsView on X
  • Sep 18, 2026

    Whether it's making the housing market fairer for first homebuyers, or strengthening our superannuation system, Labor takes Intergenerational issues seriously - and that's what the Intergenerational Report we'll deliver on Monday is all about. https://t.co/2MQBstUITS

    241491.2K48119K viewsView on X
  • Sep 30, 2026

    VIC LABOR has used ABS data to track down empty spare bedrooms in Victoria. ABS census data shows 1.7M spare bedrooms & Labor want to review Recommendation 30 which is a proposal to establish a statewide Homeshare program. This Recommendation opens up the door to legislative coercion, forcing homeowners to give up spare space for social housing or face new Government taxes. The Government & Authorities are abusing personal data to shift the burden of the housing crisis that they created onto Aussie residents. https://t.co/prv7gdnEOd

    8973701644032K viewsView on X
  • Sep 14, 2026

    🇦🇺 Fellow Australians I’m back! Self-imposed digital hiatus over 
Ready, willing & able to fight the good fight 🔥Australia - we are five minutes to midnight ⏰No time to waste Our mission is clear: rescue, recover & restore this country to the nation we know & love 🇦🇺 #AustraliaFirst

    1.2K15697724K viewsView on X
  • Sep 23, 2026

    Could the $8 million Nine receives from the Labor government in journalist wage subsidies via the Journalism Assistance Fund be why their reporter went to the USA to track down a KKK leader and cook up a story to disparage Labor’s greatest political threat - One Nation and Senator Pauline Hanson? #AustraliaFirst

    1.1K242661411K viewsView on X
  • Sep 23, 2026

    ‼️SHOCKING‼️ 🔥MAJOR AUSTRALIAN MEDIA ON LABOR GOVERNMENT PAYROLL🔥 How can the media be trusted, or claim to be impartial, when they are on the government payroll? Nine sent Reid Butler to the United States to sit down with a KKK leader and try to smear One Nation. That same organisation has taken nearly $8 million in taxpayer wage subsidies through Labor’s Journalism Assistance Fund. Over $8 million to Fairfax Media Limited (SMH, The Age, AFR) and nearly $6 million to Seven. The so-called women’s platforms are no better. Women’s Agenda and Mamamia are two of the biggest women’s news sites in the country. On Tickle v Giggle - the most important sex-based rights case this country has seen this century - they have been silent or disparaging. Coincidence? Or is it the $214,500 Women’s Agenda and the $268,000 Mamamia just collected from the same Labor grant scheme? And millions to publications in multi-cultural communities, the communities that polls show vote heavily in favour of Labor. Then there are the local outfits. The Manly Observer’s Kim Smee has received more than $100,000. On a podcast in 2022, she said she wrote her thesis on the rise of extreme far right parties and One Nation. How can we trust that media outlets taking government money to cover core news are impartial? One grant in particular is so dubious I am keeping it for a separate reel. Any organisation on this list that is receiving government funds can no longer, in my view, be relied upon as impartial. The fourth estate is now just another arm of government. That is why so many of us are so distrustful. Government should not be involved in funding media. If a media outlet cannot afford to fund itself, then they should not rely on the taxpayer to keep them afloat. #AustraliaFirst

    96228429169.0K viewsView on X
  • Sep 18, 2026

    “Deadnaming” costs NSW taxpayers $35,000+++ A NSW tribunal has just handed a $35,000 payout to a female health worker who identifies as a man after an internal process required them to confirm previous legal names. That is not “deadnaming.” That is a standard name-history check. The NSW Local Health District required internal employment applicants to disclose former names. A colleague rang to confirm them. The applicant - born female, employed since 2020 after changing obviously female given names - confirmed the names, then complained of humiliation, distress and fear of being “outed.” After a FOUR DAY hearing, NCAT found the condition was indirect transgender discrimination. $25,000 general damages plus $10,000 aggravated. The health service looked at changing the process in 2025 and decided it was impractical. Legal names exist for a reason: identity verification, working-with-children checks, criminal history, professional registration. Health workers deal with vulnerable patients. Pretending a person’s sex and name history are state secrets that must never surface in an employment process is not “inclusion”; it is compelled fiction paid for by taxpayers. If a background check that reveals biological reality is now discrimination, every employer doing due diligence is on notice. We are in a cost-of-living crisis and copious taxpayer funded resources and money is being dedicated towards resolving these ideologically driven complaints. I don’t know about you, but I’m sick and tired of seeing my hard earned taxes being squandered on these frivolous exercises. Sex is not a feeling. Records are not hate. Gender identity is a fiction that must be removed from state and federal law. Decision below #AustraliaFirst

    897209401313K viewsView on X
  • Sep 10, 2026

    Welcome to Country is completely out of control Why are we endlessly wasting time in schools & institutions with the new compulsory state prayer multiple times a day? We were assured if we voted NO to the Voice, they would end Were we lied to? https://t.co/1lMbNqjMbV

    9451423498.4K 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.

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Reading these numbers

A typical post picks up 1.1K interactions against 60K followers, an engagement rate of 1.85%. Measured over 18 original posts, its engagement rate beats 92% of 20,445 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 10K times each, and 10.7% of those impressions turn into an interaction. That is about 17.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 100% carry an image or video, 11% are part of a thread and 22% link out. The account's strongest tracked post pulled 6.9K interactions, about 6.3x its own typical post.

What is Katherine Deves 🇦🇺's engagement rate on X?
Katherine Deves 🇦🇺 (@Katherine_deves) has an engagement rate of 1.85%, based on the median interactions across 18 original posts from the last 30 days against 59,568 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.85%, Katherine Deves 🇦🇺 sits above the 75th 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 @Katherine_deves have real engagement?
Its engagement rate beats 92% of the tracked X accounts closest to it in follower count (20,445 accounts), which puts it in the top 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 @Katherine_deves post?
Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 1.43 posts per day across the measured window.

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