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Bloomberg Opinion engagement report

@opinion - 585K followers on X

Measured over 86 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 585K followers
Per impression
0.134%
3.7K views on a typical post
Reach
0.64%
of its followers see a post
Typical post
5
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
3.17/day
active 27% of days
Peak time
10:00 UTC
Friday

A typical post picks up 5 interactions against 585K followers, an engagement rate of 0.001%. Measured over 86 original posts, its engagement rate beats 11% of 20,444 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 3.7K times each, and 0.134% of those impressions turn into an interaction. That is about 0.637% 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, though only 27% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 86 posts sampled, 7% carry an image or video and 93% link out. The account's strongest tracked post pulled 2.8K interactions, about 558x its own typical post.

Measured over 86 original posts from a 30-day window, last computed on October 10, 2026. Recurring tag: #oott.

Compared with accounts its own size

Bloomberg Opinion's engagement rate beats 11% 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 9% 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 0.001%, Bloomberg Opinion sits below the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 10:00 UTC, and Friday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video7% of posts+111%+108% to +115%34K
Outbound link93% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 7% 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.
  • 93% 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 164 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 1, 2026558x their median

    .@KathyHochul and @ZohranKMamdani think they can cure New York’s cost-of-living crisis with excuses, empty promises, and "delusion pills." The real side effects of their policies aren't a joke: 48 utility rate hikes, higher taxes, uncontrollable government spending, and businesses fleeing our state every single day. I have a different plan for New York. As Governor, I will deliver zero state income tax on your first $50,000, $100,000 for joint filers, cut your utility bills in half, and end the government waste. Don't let them tax New York into the ground. Help me make New York affordable again.

    1.7K565384961.2M viewsView on X
  • Aug 21, 202612x their median

    With his bond-market maneuvers reversed in a day, Scott Bessent should look back to a time when the grownups were in charge, writes @johnauthers https://t.co/yTLsPdXTMk

    34212212K viewsView on X
  • Aug 22, 20265.8x their median

    China's retail traders see their own market struggles in the characters of a crude animated movie. @Shuli_ren explains why it's become a market meme 🎥 https://t.co/H0OeXo07xY

    187228.1K viewsView on X
  • Sep 1, 20264.4x their median

    Feuds among India’s corporate elite are not new, but when so many billionaires are involved, it's time to pay attention, writes @andymukherjee70 https://t.co/5faSOo7sH4

    1550216K viewsView on X
  • Aug 21, 20264.4x their median

    It’s easy to make the case that the US equity market is in bubble territory. After all, the major metrics point in the same direction 🎥 https://t.co/zTrgf30S4J

    1550220K viewsView on X
  • Sep 14, 20264.2x their median

    For a Fed chairman who dislikes forward guidance, Kevin Warsh has talked himself into a rates trap, writes John Authers https://t.co/PAdGWrSyE6

    155105.9K viewsView on X
  • Aug 25, 20264.2x their median

    Mukesh Ambani needs a clean succession plan, writes @andymukherjee70. His son's wildlife sanctuary is getting in the way https://t.co/3Lc4cgrxCt

    1610433K viewsView on X
  • Aug 22, 20264.2x their median

    Darline Graham has proved herself an astonishingly clumsy candidate, writes @niamalikah. Whether she limps over the finish line will be a referendum on Trump's hold over the GOP https://t.co/fFoZNtQK9v

    153309.9K viewsView on X
  • Sep 13, 20264.0x their median

    Russia and China are threatening the freedom of the global commons at sea, in space and in cyberspace, @halbrands writes https://t.co/Ki3aUf4Tnj

    111538.1K viewsView on X
  • Aug 24, 20264.0x their median

    Canada is imposing 50% retaliatory tariffs after US-Canada talks broke down. We’ll see who can take the most pain: the US or Canada 🎥 https://t.co/HTtmQTeND0

    1064013K 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

#oott

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 5 interactions against 585K followers, an engagement rate of 0.001%. Measured over 86 original posts, its engagement rate beats 11% of 20,444 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 3.7K times each, and 0.134% of those impressions turn into an interaction. That is about 0.637% 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, though only 27% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 86 posts sampled, 7% carry an image or video and 93% link out. The account's strongest tracked post pulled 2.8K interactions, about 558x its own typical post.

What is Bloomberg Opinion's engagement rate on X?
Bloomberg Opinion (@opinion) has an engagement rate of 0.001%, based on the median interactions across 86 original posts from the last 30 days against 585,003 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Bloomberg Opinion sits below the 10th percentile of the 204,583 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 @opinion have real engagement?
Its engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 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 @opinion post?
Most posts go out around 10:00 UTC, and Friday is its busiest day, at roughly 3.17 posts per day across the measured window.

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