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tern engagement report

@1goodtern - 85K followers on X

Measured over 19 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Middle of its size range
Per follower
0.351%
of 85K followers
Per impression
3.92%
7.6K views on a typical post
Reach
8.94%
of its followers see a post
Typical post
299
interactions (median)
Saved
0.262%
20 bookmarks on a typical post
Posting rate
4.17/day
active 23% of days
Peak time
09:00 UTC
Wednesday

A typical post picks up 299 interactions against 85K followers, an engagement rate of 0.351%. Measured over 19 original posts, its engagement rate beats 74% of 20,444 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 7.6K times each, and 3.92% of those impressions turn into an interaction. That is about 8.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.2 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 19 posts sampled, 63% carry an image or video and 26% link out. The account's strongest tracked post pulled 68K interactions, about 228x its own typical post. Recurring topics include #longcovid, #uconn, #covid.

Measured over 19 original posts from a 30-day window, last computed on September 30, 2026. Recurring tags: #longcovid, #uconn, #covid.

Compared with accounts its own size

tern's engagement rate beats 74% of the tracked X accounts closest to it in follower count (20,444 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 80% 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 0.351%, tern sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 09:00 UTC, and Wednesday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video63% of posts+111%+108% to +115%34K
Outbound link26% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 63% 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.
  • 26% 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 308 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

  • Aug 31, 2026228x their median

    WOW! JD VANCE: “We’re about to celebrate the 25th year” of 9/11. Sir, the word is COMMEMORATE. Nobody’s celebrating 9/11. https://t.co/wkg95gJ4s0

    56K9.5K2.0K8291.0M viewsView on X
  • Sep 30, 202636x their median

    🚨 BREAKING: The Met Police has now submitted charges against 54 individuals and 20 companies over the Grenfell Tower fire in 2017 The charges include fraud, corporate manslaughter and misconduct in public office

    8.8K1.6K130234361K viewsView on X
  • Aug 31, 202611x their median

    Just watched the trailer for Who Killed Alex Odeh. Unbelievable. If you don't know the story it's about a Palestinian American assassinated in the US, most likely by members of the Jewish Defence League- who fled to Israel, potentially with US complicity https://t.co/naaHlYgGx7

    2.5K84311950K viewsView on X
  • Sep 1, 20267.1x their median

    Just remember prolly nobody that’s discouraging you from wearing a mask to prevent yourself from getting a Covid infection is gonna pay your medical bills if you end up with long covid from it

    1.6K44922160K viewsView on X
  • Aug 7, 20255.5x their median

    Hey you super people, the lovely folk at The FaceMaskStoreUK have given me an affiliate link for face mask sales - so if you buy your masks after going to the site at the link here 👇I get a small cut. I'm currently wearing these black Tridents with pride: https://t.co/XbCEYJOrVQ

    1.2K3136414407K viewsView on X
  • Sep 30, 20264.4x their median

    Maria Katasonova is essentially Marie Le Pen’s Russian handler for elections. I have proven this & I’ve proven direct coordination w/Artem Klyushin, Maria Butina, Konstantin Rykov directed by the Kremlin. I’ve shown so much more than this proving Russian influence w/o any doubt. https://t.co/dAtyfLUA8U

    906365132166K viewsView on X
  • Aug 31, 20264.0x their median

    Henry and his wife had been happily married for 18 years. Then, his wife began unmasking though #COVID was ongoing, and she pressured Henry & the kids to do the same. Henry is 1 of 18 people I interviewed whose lives were turned upside down by conflicts surrounding COVID (1/2) https://t.co/RyRxmbXPjt

    954201211238K viewsView on X
  • Sep 30, 20263.4x their median

    Trump explained why North Korea may have nuclear weapons while Iran may not “He (Kim Jong Un) is my friend. He likes Trump,” the US president said.

    6831331345397K viewsView on X
  • Sep 30, 20263.0x their median

    Putting these charts showing infection increases across different age groups together... it's staggering. How can anyone look at this and still say with absolute certainty "Covid infections in no way weaken your immune system". https://t.co/klzD7KiVRo

    654234879.2K viewsView on X
  • Sep 1, 20262.2x their median

    Around age 50 your blood monocytes (Micro 2) begin a "hostile takeover" replacement of your brain microglia immune cells (Micro 1) and can promote inflammation. Two impressive studies made this remarkable discovery independently with different methods. In conversation with their lead authors, @juliabelk and Nathan Zemke https://t.co/Su38NNJHK1

    535110121249K viewsView on X

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

#longcovid#uconn#covid#covid19#ct

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 299 interactions against 85K followers, an engagement rate of 0.351%. Measured over 19 original posts, its engagement rate beats 74% of 20,444 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 7.6K times each, and 3.92% of those impressions turn into an interaction. That is about 8.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.2 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 19 posts sampled, 63% carry an image or video and 26% link out. The account's strongest tracked post pulled 68K interactions, about 228x its own typical post. Recurring topics include #longcovid, #uconn, #covid.

What is tern's engagement rate on X?
tern (@1goodtern) has an engagement rate of 0.351%, based on the median interactions across 19 original posts from the last 30 days against 85,345 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.351%, tern sits above the 50th percentile of the 205,374 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 @1goodtern have real engagement?
Its engagement rate beats 74% of the tracked X accounts closest to it in follower count (20,444 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 @1goodtern post?
Most posts go out around 09:00 UTC, and Wednesday is its busiest day, at roughly 4.17 posts per day across the measured window.

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