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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 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 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.
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 | 7% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 93% 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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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 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.