James Spann engagement report
@spann - 556K followers on X
Measured over 26 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 62 interactions against 556K followers, an engagement rate of 0.011%. Measured over 26 original posts, its engagement rate beats 35% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 16K times each, and 0.398% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 50% carry an image or video and 38% link out. The account's strongest tracked post pulled 3.8K interactions, about 61x its own typical post. Recurring topics include #chicago, #fall, #fallbreak2026.
Measured over 26 original posts from a 30-day window, last computed on October 13, 2026. Recurring tags: #chicago, #fall, #fallbreak2026.
Compared with accounts its own size
James Spann's engagement rate beats 35% of the tracked X accounts closest to it in follower count (21,185 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 26% 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 0.011%, James Spann sits above the 10th percentile of the 213,098 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 10:00 UTC, and Tuesday 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 | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 38% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 50% 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.
- 38% 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 497 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
- Oct 13, 202661x their median
Many of you are seeing this in the sky over Alabama this morning. No need to panic… it is the vapor trail from the Falcon 9 SpaceX launch this morning in Florida. https://t.co/GcuT2pejW9
- Oct 12, 202655x their median
I am sick and tired of people in traditional "broadcast meteorology" posting smiling selfies during the approach of Isaias. Their theory is... "It's all about ME!!" These nitwits need to spend this week in places like Lenox, Peterman, and Canoe Alabama cutting trees off homes and feeding people. If you want to be a social media influencer or a model, fine. But stay out of weather. Please.
- Aug 26, 202611x their median
A big shout out to the lunch ladies at Oakman… They gave me the best lunch ever today! Crispitos and tater tots! https://t.co/AjwqWsl1TY
- Oct 13, 20268.4x their median
DID YOU SEE IT? Many of you were looking up at the sky early this morning and saw a spectacular, glowing trail that looked almost like a giant cloud or a space jellyfish. This was associated with a SpaceX Falcon 9 rocket launch from Cape Canaveral, Florida, carrying a Dragon spacecraft on a resupply mission to the International Space Station. So, what causes this unusual sight? The rocket travels high into the atmosphere, leaving a trail of exhaust gases behind it. At those altitudes, the exhaust expands dramatically in the extremely thin air. The water vapor and other exhaust products form a plume that can spread into unusual shapes. The sun can illuminate the plume even while the sky is still dark or just beginning to brighten here on the ground. The rocket and its exhaust are high enough to catch sunlight from beyond Earth's shadow, creating the brilliant, glowing appearance. The trail can look like it's bending, spreading out, or even falling back toward Earth, but that's an optical illusion. The rocket is traveling along its flight path, and high-altitude winds help shape and disperse the exhaust plume. This phenomenon is sometimes called a “space jellyfish.” It is a beautiful example of how rocket launches, atmospheric conditions, and the angle of the rising sun combine to produce an extraordinary sight. No mystery, no unusual weather phenomenon, and no cause for alarm. Just a spectacular reminder that sometimes the most remarkable sights in our sky come from human exploration of space!
- Sep 14, 20266.0x their median
AUBURN SATURDAY NIGHT: After my post Saturday night about the lightning delay at Auburn, I reached out to my friend and fellow meteorologist Ashley Gann at Auburn for some clarification. She provided a detailed explanation of what happened, and I want to share the important points. First, the comment about people being told to shelter “under a tree” was NOT Auburn’s instruction. Auburn’s emergency management team was monitoring the situation and had designated nearby buildings as emergency shelters. Here is the timeline: About 40 minutes before kickoff, Auburn received a 12-mile lightning alert. That prompted them to prepare nearby shelter locations. Four minutes later, a 10-mile alert was issued. The shelters were opened, and staff put out “Emergency Shelter” signs. Three minutes after that, the 8-mile alert was issued, which triggered the lightning suspension. At that point, the stadium gates were already open and thousands of people were in lines waiting to enter. Immediately, announcements were made directing people that were already inside the stadium to leave the seating bowl and seek shelter on the concourse or in nearby buildings, including Neville Arena, the Melton Student Center and Haley Center. Those buildings were unlocked and available for shelter. The problem was the timing. The lightning alert occurred right in the middle of the massive pregame rush into Jordan-Hare Stadium. Concurrently, fans inside the bowl were being asked to shelter on the concourse, so in an effort to eliminate additional congestion in the concourse, gates were closed and nearby shelters opened. Then, there were 2 additional strikes of lightning that reset the suspension each time. As crowds began to build outside the gates, Auburn initially directed those fans toward the nearby shelter buildings. However, when security cameras showed that large numbers of people were remaining outside rather than entering the shelters, Auburn reopened the stadium gates — even though the lightning threat had not completely ended — so people could get inside. I think that is an important distinction. The situation outside the stadium was obviously concerning, and there are lessons to be learned from the crowding that occurred. Auburn acknowledges that as well. But based on the information I received, the emergency management team did have a lightning protocol, did open designated shelters, did make announcements, and did ultimately change its approach when it became clear that large numbers of people were remaining outside. This was a difficult situation involving several things happening simultaneously: lightning, a normal pregam crowd arrival, stadium construction and changed pedestrian routes. Weather safety at large outdoor events is not always as simple as a number on a lightning detector. There are many moving parts, and decisions sometimes have to be made very quickly. I appreciate Ashley taking the time to explain what happened. And I really appreciate the Auburn emergency management and Auburn Athletics folks who were working behind the scenes to keep people safe.
- Aug 26, 20265.7x their median
LUNAR ECLIPSE TOMORROW NIGHT: Alabama will get a spectacular deep partial lunar eclipse tomorrow night (Thursday night). The eclipse begins subtly around 8:23p CT, but the really noticeable partial eclipse begins at 9:33p CT. The peak comes a little before 11:15p CT, when about 96% of the Moon will be covered by Earth's dark shadow. The Moon will take on a dramatic reddish-orange color. No special glasses are needed—just hope for breaks in the clouds!
- Sep 1, 20265.0x their median
ON THIS DATE IN 1859: The Carrington Event was the most intense geomagnetic storm in recorded history, peaking on 1–2 September 1859 during solar cycle 10. It created strong auroral displays that were reported globally and caused sparking and even fires in telegraph stations. Because society today relies heavily on interconnected electrical grids, satellites, GPS, and internet infrastructure, a modern repetition of the Carrington Event would be catastrophic.
- Aug 25, 20263.8x their median
TRAFFIC: From ALEA concerning I-65 at Alabaster/Calera **The Interstate 65 southbound traffic is being diverted at mile marker 238** A multi-vehicle crash involving a commercial vehicle that occurred at approximately 11:47 a.m. Tuesday, Aug. 25, has caused both a lane and road closure. All lanes of Interstate 65 southbound near the 238 mile marker in Shelby County are currently blocked and will remain so for an undetermined amount of time. A bridge on Shelby County 87, which crosses over Interstate 65 near the 234 mile marker in Shelby County, is currently blocked and will remain so for an undetermined amount of time. Troopers with the Alabama Law Enforcement Agency’s (ALEA) Highway Patrol Division are on the scene investigating and will continue to monitor the situation and provide updates accordingly.
- Sep 16, 20263.7x their median
ON THIS DATE IN 2004: At 51 minutes after midnight on 16 September 2004, the northern eyewall of powerful Hurricane Ivan moved onto land near Gulf Shores as an upper end Category 3 hurricane. Bringing with it 130 mph surface winds and a 12 foot storm surge, estimates show that the magnitude and extent of the damage and destruction over Baldwin County and Escambia and Santa Rosa counties of Northwest Florida likely exceeded that of both Hurricane Frederic (September 1979) and Hurricane Opal (October 1995). Additionally, Hurricane Ivan was very close to the magnitude of damage and destruction caused by the Hurricane of 1926 which ravaged the aforementioned counties east of Mobile Bay. Ivan produced estimated maximum winds of 60 to 80 mph generally southwest of line from Prattville to Livingston. A few spots may have reached 90 mph in this area. Most other locations across central Alabama had estimated maximum wind speeds of 50 to 60 mph, with a few isolated spots reaching 75 mph. Damage was severe well inland… some of the hardest hit communities included Atmore, Brewton, Evergreen, Monroeville, Camden, and Demopolis. Hurricane Ivan caused $18.82 billion in Alabama, which is the costliest ever recorded in the state. However, despite 56 people dying in the United States, none of them were in Alabama. It was the last storm to make landfall in Alabama until Hurricane Sally. Hurricane Ivan was also the strongest hurricane to hit Alabama since Hurricane Frederic in 1979, which was a category 4. On this date in 2020, Hurricane Sally moved made landfall on the Alabama Gulf Coast. See my separate post about that one.
- Sep 3, 20263.6x their median
Very anomalous for early September… https://t.co/IjfQ1k5MEl
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 62 interactions against 556K followers, an engagement rate of 0.011%. Measured over 26 original posts, its engagement rate beats 35% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 16K times each, and 0.398% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 50% carry an image or video and 38% link out. The account's strongest tracked post pulled 3.8K interactions, about 61x its own typical post. Recurring topics include #chicago, #fall, #fallbreak2026.
- What is James Spann's engagement rate on X?
- James Spann (@spann) has an engagement rate of 0.011%, based on the median interactions across 26 original posts from the last 30 days against 555,771 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.011%, James Spann sits above the 10th percentile of the 213,098 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 @spann have real engagement?
- Its engagement rate beats 35% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the middle of its size range 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 @spann post?
- Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 2.7 posts per day across the measured window.