Radi Nabulsi engagement report
@RadiNabulsi - 107K followers on X
Measured over 20 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 20 interactions against 107K followers, an engagement rate of 0.018%. Measured over 20 original posts, its engagement rate beats 25% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 3.4K times each, and 0.573% of those impressions turn into an interaction. That is about 3.20% 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 10% of days saw any activity at all. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 55% carry an image or video and 50% link out. The account's strongest tracked post pulled 2.4K interactions, about 120x its own typical post. Recurring topics include #godawgs, #georgiafootball.
Measured over 20 original posts from a 30-day window, last computed on October 13, 2026. Recurring tags: #godawgs, #georgiafootball.
Compared with accounts its own size
Radi Nabulsi's engagement rate beats 25% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 7 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 27% 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 0.018%, Radi Nabulsi sits above the 10th percentile of the 201,787 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 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 18:00 UTC, and Monday 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 | 55% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 50% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 55% 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 149 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
- Oct 12, 2026120x their median
Kirby Smart is NOT HAPPY about his leaked locker room speeches 😳 #GoDawgs #GeorgiaFootball https://t.co/eFNrnPa4J5
- Oct 13, 202619x their median
James Cook to the house! Stream on @NFLPlus https://t.co/VW6S3uG0N0 https://t.co/xSRLlS7TGP
- Oct 12, 202614x their median
It's not every day you hear former Georgia head coach Mark Richt cuss 🤣, but a win over Alabama can do that to you #GoDawgs #GeorgiaFootball https://t.co/bK8yVtLs4o
- Oct 12, 202614x their median
Michael Penix Jr. has a rib injury and is questionable to return. Tua Tagovailoa coming back in.
- Oct 11, 20263.8x their median
Notable PFF data for Alabama vs UGA: Offense Pass pro: Keelon Russell clean pocket on 29 of 39 drop backs Sacks allowed: Daniel Hill, Jay Lindsey Penalties: Racin Delgatty, Jayvin James Russell vs blitz: 7 for 13, 119 yds, TD Russell in play-action: 4 for 5, 56 yds. Screen package: 1 for 2, minus-9 yds. Snaps: Starting OL went the distance (60 each), Rico Scott (59), Ryan Coleman-Williams (50), Josh Ford (24), EJ Crowell (9), Noah Rogers (1). Defense Missed tackles (5): Brown 2, Bingley-Jones, Pierre, Sabb. Dijon Lee in coverage: 4 targets, 3 receptions, 54 yds, 3 first downs Penalties (2): Lee 2 Snaps: Luke Metz (65), London Simmons (42), Kedrick Bingley-Jones (36), Terrance Green (22, injured), Xavier Griffin (7, ?)
- Oct 12, 20263.3x their median
Kirby Smart sees a major issue in this "new age" of coaches that sets Mike Bobo apart from everyone else. #GoDawgs #GeorgiaFootball https://t.co/BT3XkI2jDq
- Oct 12, 20262.0x their median
It's not about stars, it's about development 😤 #GoDawgs #GeorgiaFootball https://t.co/Vrn08Dkm8m
- Oct 12, 20262.0x their median
It seems more and more freshmen are playing for Georgia, but Kirby Smart doesn't see that as anything new. #GoDawgs #GeorgiaFootball https://t.co/ExnznxD24E
- Oct 12, 20261.6x their median
Can Curt Cignetti at Indiana be replicated in the SEC? Kirby Smart has to see it to believe it. #Godawgs #GeorgiaFootball https://t.co/PkI3UBssEf
- Oct 12, 2026
Kirby Smart was asked about this viral postgame video and the composure his team had in two moments that shaped the night https://t.co/mbmfw9vuHC
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 20 interactions against 107K followers, an engagement rate of 0.018%. Measured over 20 original posts, its engagement rate beats 25% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 3.4K times each, and 0.573% of those impressions turn into an interaction. That is about 3.20% 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 10% of days saw any activity at all. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 55% carry an image or video and 50% link out. The account's strongest tracked post pulled 2.4K interactions, about 120x its own typical post. Recurring topics include #godawgs, #georgiafootball.
- What is Radi Nabulsi's engagement rate on X?
- Radi Nabulsi (@RadiNabulsi) has an engagement rate of 0.018%, based on the median interactions across 20 original posts from the last 30 days against 106,537 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.018%, Radi Nabulsi sits above the 10th percentile of the 201,787 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 @RadiNabulsi have real engagement?
- Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the bottom 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 @RadiNabulsi post?
- Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 1.5 posts per day across the measured window.