Liz Churchill engagement report
@liz_churchill10 - 902K followers on X
Measured over 22 original posts from a 30-day window, last computed on October 24, 2026.
Engagement
A typical post picks up 2.9K interactions against 902K followers, an engagement rate of 0.324%. Measured over 22 original posts, its engagement rate beats 88% of 20,444 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 25K times each, and 11.6% of those impressions turn into an interaction. That is about 2.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 22 posts sampled, 95% carry an image or video. The account's strongest tracked post pulled 129K interactions, about 44x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on October 24, 2026.
Compared with accounts its own size
Liz Churchill's engagement rate beats 88% of the tracked X accounts closest to it in follower count (20,444 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 99% 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 0.324%, Liz Churchill sits above the 50th percentile of the 204,956 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 02:00 UTC, and Saturday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 95% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 95% 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 180 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- Sep 6, 202644x their median
Angela Merkel ADMITTED on CAMERA that she deliberately flooded Germany with third-world migrants to “stop the far-right”… Today, the ‘Far-right’ won… https://t.co/EWLqejt1rH
- Aug 22, 202630x their median
He had enough money to end poverty, world hunger and clean the oceans…but instead…he blocked out the sun, made GMO mosquitos and fake meat…and most notably, produced toxic ‘vaccines’ for the entire planet…so you really need to ask yourself why… https://t.co/UKeQVBwJpl
- Sep 4, 202621x their median
Maria Bartiromo is a Hero. She told President Trump that Fox News was burying the 2020 stolen-election story…and they fired her for it. That’s courage. Real reporters don’t take orders to stay silent. https://t.co/5159MjR1BE
- Aug 30, 202620x their median
I still can’t believe the media did this… “You f’d up, CBSDFW…this is my kid you used in your story without my permission. He does not have the measles. This was his reaction to the MMR shot. Take it down. Now. Issue a retraction. It's much easier than having to litigate a defamation case. I'II wait”
- Aug 28, 202619x their median
I still can’t believe this. Governor Josh Shapiro, LIED about people dying of measles, took millions in kickbacks from a Vaccine Cartel NGO weeks prior…and then did a press conference blaming RFK Jr. and the ‘unvaccinated’. Holy shit, this guy is pure fucking evil. https://t.co/9egi8wEShi
- Oct 22, 202619x their median
HEROES in the Netherlands 🏆 Lawyer Peter Strassen receives a monumental welcome as he takes on Pandemic Planners Bill Gates, Albert Bourla and Mark Rutte in the Netherlands Civil Court Case… https://t.co/mr5763Pvs6
- Aug 21, 202617x their median
She took on the Deep State, exposed Fauci, stood unbreakable beside her husband through his rare cancer…and thanked God for her strength. Tulsi Gabbard is one of the strongest women alive…🙏🏻 https://t.co/V3S4FGG9yE
- Aug 10, 202617x their median
If you poison someone and they die, you go to jail. But when Pfizer and Moderna poisoned people which caused miscarriages, myocarditis, blood clots and death…their ‘products’ were FDA approved, while governments made it mandatory…while they made billions? https://t.co/Vkj0Q1xjdP
- Aug 26, 202615x their median
Hero Dr. Meryl Nass just WON in court after Maine’s Medical Board suspended her and ordered a ‘Psychiatric Evaluation’ for daring to prescribe ivermectin and defy the Covid Scam orthodoxy… THANK YOU for your bravery and for taking on the Medical Cartel 🙏🏻 https://t.co/CX1kFXlyDh
- Aug 14, 202614x their median
Left: An Evil Doctor that banned Bactrim for HIV patients to push AZT resulting in Mass Deaths Right: An Evil Doctor that banned Ivermectin for Covid patients to push Remdesivir resulting in Mass Deaths ARREST DR. FAUCI NOW https://t.co/5BHc4aohVP
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 2.9K interactions against 902K followers, an engagement rate of 0.324%. Measured over 22 original posts, its engagement rate beats 88% of 20,444 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 25K times each, and 11.6% of those impressions turn into an interaction. That is about 2.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 22 posts sampled, 95% carry an image or video. The account's strongest tracked post pulled 129K interactions, about 44x its own typical post.
- What is Liz Churchill's engagement rate on X?
- Liz Churchill (@liz_churchill10) has an engagement rate of 0.324%, based on the median interactions across 22 original posts from the last 30 days against 901,879 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.324%, Liz Churchill sits above the 50th percentile of the 204,956 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 @liz_churchill10 have real engagement?
- Its engagement rate beats 88% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter 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 @liz_churchill10 post?
- Most posts go out around 02:00 UTC, and Saturday is its busiest day, at roughly 1.17 posts per day across the measured window.