julie k. brown engagement report
@jkbjournalist - 329K followers on X
Measured over 24 original posts from a 30-day window, last computed on October 11, 2026.
Engagement
A typical post picks up 1.1K interactions against 329K followers, an engagement rate of 0.321%. Measured over 24 original posts, its engagement rate beats 87% 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 51K times each, and 2.06% of those impressions turn into an interaction. That is about 15.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 54% carry an image or video and 50% link out. The account's strongest tracked post pulled 27K interactions, about 26x its own typical post.
Measured over 24 original posts from a 30-day window, last computed on October 11, 2026.
Compared with accounts its own size
julie k. brown's engagement rate beats 87% 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 68% 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 0.321%, julie k. brown sits above the 50th percentile of the 205,261 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 13:00 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.
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 | 54% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 50% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 54% 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.
- 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 157 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
- Sep 14, 202626x their median
Rapper Boosie Badazz tells Lesley Stahl that he was led to believe that if he gave $600,000, he would be issued a pardon. He was promised that Laura Loomer, Erika Kirk, Mike Johnson and Natalie Harp would advocate for his pardon. "I just thought this is they way it's done." Boosie is now suing the pardon broker in an attempt to recover at least half of the money.
- Sep 3, 202623x their median
It is shameful that @nytimes @TheAthletic buried the fact that the biggest punishment in NBA history was the result of an investigation by journalist @PabloTorre. And to call it the result of a "podcast episode" is a further slap in the face. He won a Pulitzer for this story and they call it an "episode" instead of, at the outset -- crediting him with exposing this scandal. Really really lame.
- Sep 3, 202614x their median
Pablo's investigation accomplished several things, but I would argue that its biggest accomplishment was holding a mirror in front of the present state of sports journalism and exposing its sycophantic nature.
- Sep 2, 20268.3x their median
Allison Guerriero, a security researcher whose information helped expose the criminal conduct of former FBI counterintelligence official Charles McGonigal, has been found dead at her home in Boynton Beach, Florida. Hours before her death, Guerriero posted a series of messages on X, criticizing Representative Jim Jordan, the FBI and McGonigal. https://t.co/DKf0mfymp0
- Oct 7, 20267.4x their median
NEW: When witnesses, whistleblowers and accusers die, it’s time to look at whether they have anything in common. Here is a list of some of the recent deaths in the Epstein-Trump orbit. https://t.co/T5rmXxCz6K https://t.co/qN4GYbf2pT
- Sep 10, 20266.7x their median
Dershowitz was also one of the lawyers who got Jeffrey Epstein his sweetheart deal. https://t.co/BQD72dsZkb
- Sep 24, 20266.1x their median
They know everything about Jeffrey Epstein. GIFT link. https://t.co/j7sBWv2Ow5
- Aug 29, 20265.6x their median
MARGE: “I don't think women are respected in the Republican Party. It's a boys club. That comes from the top down. You have the President constantly demeaning women… They don't take us seriously. They just want to hold the power themselves.” https://t.co/znHDHN4UOj
- Sep 3, 20265.0x their median
BREAKING: Gloria Steinem, feminist trailblazer and award-winning journalist, dies at 92. https://t.co/pD3DHaHUFY
- Sep 3, 20264.5x their median
"This is the largest punishment in the history of the NBA." "The way that it was done was in a way to not get caught — and they got caught." @PabloTorre, @DavidPSamson and @DarthAmin react to the NBA's Kawhi Leonard investigation and historic punishments. https://t.co/b9k3wVqKqz
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 329K followers, an engagement rate of 0.321%. Measured over 24 original posts, its engagement rate beats 87% 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 51K times each, and 2.06% of those impressions turn into an interaction. That is about 15.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 54% carry an image or video and 50% link out. The account's strongest tracked post pulled 27K interactions, about 26x its own typical post.
- What is julie k. brown's engagement rate on X?
- julie k. brown (@jkbjournalist) has an engagement rate of 0.321%, based on the median interactions across 24 original posts from the last 30 days against 329,076 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.321%, julie k. brown sits above the 50th 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 @jkbjournalist have real engagement?
- Its engagement rate beats 87% 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 @jkbjournalist post?
- Most posts go out around 13:00 UTC, and Sunday is its busiest day, at roughly 3.17 posts per day across the measured window.