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Bloomberg Originals engagement report

@bbgoriginals - 1.2M followers on X

Measured over 176 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 1.2M followers
Per impression
0.076%
6.6K views on a typical post
Reach
0.55%
of its followers see a post
Typical post
5
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
6.3/day
active 103% of days
Peak time
21:00 UTC
Friday

A typical post picks up 5 interactions against 1.2M followers, an engagement rate of 0%. Measured over 176 original posts, its engagement rate beats 6% 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 6.6K times each, and 0.076% of those impressions turn into an interaction. That is about 0.555% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 176 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 59 interactions, about 12x its own typical post.

Measured over 176 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Bloomberg Originals's engagement rate beats 6% 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 5% 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 under 0.001%, Bloomberg Originals sits below the 10th percentile of the 204,880 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 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 percentile0.678%
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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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 video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 100% 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 276 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 6, 202612x their median

    Jeffrey Epstein built a network of elites across finance, politics and academia. By analyzing thousands of documents, Bloomberg mapped its reach and how it widened even as allegations against him accumulated https://t.co/mgZWijXvOT https://t.co/2nSh6d2JuD https://t.co/C2FwzJ2BFA

    39164037K viewsView on X
  • Aug 16, 20268.6x their median

    Jeffrey Epstein built a network of elites across finance, politics and academia. By analyzing thousands of documents, Bloomberg mapped its reach and how it widened even as allegations against him accumulated https://t.co/mgZWijXvOT https://t.co/Id75qmWb9p https://t.co/gUDLaU8OKU

    30120137K viewsView on X
  • Sep 16, 20267.4x their median

    Jeffrey Epstein built a network of elites across finance, politics and academia. By analyzing thousands of documents, Bloomberg mapped its reach and how it widened even as allegations against him accumulated https://t.co/mgZWijXvOT https://t.co/0BYS9YtzsN https://t.co/RsCSYhqiHo

    2791030K viewsView on X
  • Sep 6, 20266.4x their median

    North Korea’s Kim Jong Un has seen a $22 billion windfall that’s enriching his regime despite sweeping global sanctions. So how did he do it and why is a richer North Korea a concern for the world? https://t.co/IU5MNJdCdl https://t.co/phOtsqv9CC

    2523234K viewsView on X
  • Aug 17, 20266.0x their median

    ICE raids in Charlotte, North Carolina set off a chain reaction: damaging local businesses and potentially causing long-term economic harm that reaches far beyond the areas targeted https://t.co/r5zmnWdzNy https://t.co/ofWgMK8LA9 https://t.co/lsfd4UQ6BS https://t.co/4kyUMq3Gdg

    2144134K viewsView on X
  • Aug 22, 20265.6x their median

    North Korea’s Kim Jong Un has seen a $22 billion windfall that’s enriching his regime despite sweeping global sanctions. So how did he do it and why is a richer North Korea a concern for the world? https://t.co/IU5MNJdCdl https://t.co/Pnvsxl0C57

    1963025K viewsView on X
  • Aug 21, 20265.4x their median

    Fierce competition from China and high energy costs are just two of the reasons Germany’s famous industrial machine is sputtering. How did this crisis come to pass, and can Germany adapt in time? https://t.co/ffHe4pXDfN https://t.co/KZn4LXXlfH

    11160013K viewsView on X
  • Sep 19, 20265.0x their median

    North Korea’s Kim Jong Un has seen a $22 billion windfall that’s enriching his regime despite sweeping global sanctions. So how did he do it and why is a richer North Korea a concern for the world? https://t.co/IU5MNJdCdl https://t.co/4iQxu6DUIp

    1851140K viewsView on X
  • Sep 12, 20265.0x their median

    India and Russia’s relationship has endured for decades — through the Cold War, the war in Ukraine and growing pressure from the US. How did the two countries get here and why does India still keep Russia close? https://t.co/R47OdVBmOj https://t.co/cugiyMaxs3

    1572118K viewsView on X
  • Sep 4, 20265.0x their median

    As record temperatures sweep Europe, governments face hard trade-offs. Bloomberg Originals explores whether the continent can adapt to extreme heat amid political turmoil and economic scarcity https://t.co/urc3iZucgg https://t.co/5faxvrpn7j

    520009.1K 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.

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Reading these numbers

A typical post picks up 5 interactions against 1.2M followers, an engagement rate of 0%. Measured over 176 original posts, its engagement rate beats 6% 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 6.6K times each, and 0.076% of those impressions turn into an interaction. That is about 0.555% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 176 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 59 interactions, about 12x its own typical post.

What is Bloomberg Originals's engagement rate on X?
Bloomberg Originals (@bbgoriginals) has an engagement rate of 0%, based on the median interactions across 176 original posts from the last 30 days against 1,185,806 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At under 0.001%, Bloomberg Originals sits below the 10th percentile of the 204,880 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 @bbgoriginals have real engagement?
Its engagement rate beats 6% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @bbgoriginals post?
Most posts go out around 21:00 UTC, and Friday is its busiest day, at roughly 6.3 posts per day across the measured window.

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