@jason engagement report
@Jason - 1.8M followers on X
Measured over 213 original posts from a 30-day window, last computed on October 31, 2026.
Engagement
A typical post picks up 583 interactions against 1.8M followers, an engagement rate of 0.032%. Posts are seen about 81K times each, and 0.716% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 19.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 213 posts sampled, 57% carry an image or video, 8% are part of a thread and 23% link out. The account's strongest tracked post pulled 656K interactions, about 1125x its own typical post. Recurring topics include #positivity, #pollgate, #satire.
Measured over 213 original posts from a 30-day window, last computed on October 31, 2026. Recurring tags: #positivity, #pollgate, #satire.
Where this sits in the catalog
At 0.032%, @jason sits above the 25th percentile of the 217,635 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.148%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.148% |
| 75th percentile | 0.704% |
| 90th percentile | 2.63% |
| 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 22:00 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.
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 | 57% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 23% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 57% 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.
- 23% 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 256 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
- Oct 29, 20261125x their median
All of us at Marvel Studios are deeply saddened by the passing of Sir Patrick Stewart. Sir Patrick brought Professor Charles Xavier to life with extraordinary grace, intelligence, and humanity, defining the character for generations of fans, from "X-Men" to "Logan" to "Avengers: Doomsday." He was a singular talent, a generous collaborator, and a true gentleman. Our hearts go out to his wife Sunny, his children, his friends, and the countless fans around the world whose lives he touched with his art.
- Oct 3, 2026314x their median
Republicans must WIN the 2026 Midterm Elections, and we must use every appropriate tool – whether you vote early, absentee, by mail, or in-person, we must swamp the Radical Left Dumocrats with massive turnout! SO IMPORTANT – PLEASE GET OUT AND VOTE. MAKE AMERICA GREAT AGAIN! https://t.co/ViaKfxehwp
- Oct 8, 202666x their median
六四從未公開的震撼畫面曝光📺 英國ITN封存30年的原始影像終於現身 https://t.co/zfZgTS8Wg5
- Aug 18, 202661x their median
Becky from marketing after her third vodka soda at the company happy hour https://t.co/2IwvTxMLtk
- Oct 22, 202659x their median
Yaxel Lenderborg on his NBA debut and guarding Luka: "I got to see what the NBA is like, man. Lot of flopping, lot of foul baiting, lot of praying to the ref. Interesting first game for me... Being in there firsthand, just watching all the whining and complaining, I lost all respect. That was awful" Transcript of this soundbite: "Yeah, it was interesting. I got to see what the NBA is like, man. Lot of flopping, lot of foul baiting, lot of praying to the ref. Interesting first game for me, for sure. I had a lot of respect for him (Luka). You know, just watching. I didn't really watch the NBA much, I just watched highlights. Seeing him, you know, kill people all the time. But then being in there firsthand, just watching all the whining and complaining, I lost all respect, man. Like that was awful. Like me getting frustrated, it's not about the foul being called, it's about him complaining the entire game. And then you get the foul call, congratulations bro. And then you talk to me like you did something great, bro? Come on, dog. That's just weak. It kinda threw me off for a little while, cause you know, like I said, I had so much respect for him. Gone man, gone. I was telling him he sucks, he can't score on me. You talking and you can't score on me. I said it the whole game. I said a couple cuss words obviously, you know, that's why I got the technical and all that. But I was letting him know, because he was laughing and talking all this because of that one foul call. His only bucket on me was a banker from half court. Like I know that it's a team sport. You know, he had 28pts on us as a team. Me, I took my matchup personally. Tried not to get caught on the fouls. Tried my best. I was thinking about playing him with my hands behind my back to see if that worked, probably would've still got a foul call." Transcript via: https://t.co/igl5YczsfN
- Oct 24, 202655x their median
Uber CEO: How can we increase our revenues? McKinsey consultant: Imagine Uber but no car https://t.co/tgCllZ1vcJ
- Aug 18, 202649x their median
Shane Gillis: “We need another Teddy Roosevelt, somebody who’s willing to abuse their executive power to shut down whatever the fuck we’re doing.” Ari Shaffir: “No one can get a home.” “No one can pay their bills.” “Everyone’s living with roommates at 35.” Joe Rogan: “They got Flock cameras everywhere.” Gillis: “Teddy called it the Square Deal.” “He broke up … the 1%, basically.” Rogan: “The thing is, don’t you think that big business and corporations and super PACs … have gotten so deeply entwined in politics that if a guy ever tried to do anything remotely like that, they’d kill him?” “We thought Trump was going to do it.” “It’s clear he’s not going to do any of those things.” Mark Normand: “But don’t you feel like we’re at a boiling point?” “It feels like something’s going to happen.” @joerogan @Shanemgillis @marknorm @arishaffir
- Oct 20, 202645x their median
🇫🇷 A third-generation Chinese immigrant barricaded himself in his Paris restaurant and sprayed perfume on the looters trying to break in because they stink. https://t.co/WK9PUonoBl
- Aug 19, 202639x their median
BREAKING: 🇺🇸 President Trump says the US is considering buying "sizable" amounts of Bitcoin and other cryptocurrencies. https://t.co/LO2cZ3sAws
- Sep 26, 202636x their median
#GodzillaMinusZero first reactions are calling the sequel "jaw-dropping," an "overwhelming achievement" and a “glorious continuation of the first film.” "Toho should win another Oscar for this film. Should be nominated for best picture." https://t.co/7AKM6r4RRK https://t.co/XPfDiV6AiD
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
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 583 interactions against 1.8M followers, an engagement rate of 0.032%. Posts are seen about 81K times each, and 0.716% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 19.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 213 posts sampled, 57% carry an image or video, 8% are part of a thread and 23% link out. The account's strongest tracked post pulled 656K interactions, about 1125x its own typical post. Recurring topics include #positivity, #pollgate, #satire.
- What is @jason's engagement rate on X?
- @jason (@Jason) has an engagement rate of 0.032%, based on the median interactions across 213 original posts from the last 30 days against 1,817,756 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.032%, @jason sits above the 25th percentile of the 217,635 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 @Jason have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @Jason post?
- Most posts go out around 22:00 UTC, and Thursday is its busiest day, at roughly 19.3 posts per day across the measured window.