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Bloomberg Originals engagement report

@bbgoriginals - 1.2M followers on X

Measured over 86 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 1.2M followers
Per impression
0.043%
15K views on a typical post
Reach
1.28%
of its followers see a post
Typical post
6
interactions (median)
Saved
0.013%
2 bookmarks on a typical post
Posting rate
3.03/day
active 60% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 6 interactions against 1.2M followers, an engagement rate of 0.001%. Measured over 86 original posts, its engagement rate beats 7% of 3,882 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 15K times each, and 0.043% of those impressions turn into an interaction. That is about 1.28% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 86 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 43 interactions, about 7.2x its own typical post.

Measured over 86 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Bloomberg Originals's engagement rate beats 7% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 9 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 2% 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 Originals sits below the 10th percentile of the 37,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 16:00 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.

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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 16, 20267.2x 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
  • Aug 17, 20265.0x 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, 20264.5x 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

    1863025K viewsView on X
  • Aug 21, 20263.8x 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

    10130012K viewsView on X
  • Aug 16, 20263.7x their median

    Rising youth unemployment in India has sparked the student-led “cockroach” movement, which has managed to oust a cabinet minister while presenting a growing challenge to Prime Minister Narendra Modi. https://t.co/Fl3YlkkEuA https://t.co/ynIryow310

    1641125K viewsView on X
  • Aug 18, 20263.5x 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/2NK97Jdh2d

    1920032K viewsView on X
  • Aug 23, 20263.3x 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/PWa9K9Bkz3

    1521218K viewsView on X
  • Aug 28, 20262.8x 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/BQLMIh8E8B https://t.co/uDA4ipoB9D

    1330124K viewsView on X
  • Aug 15, 20262.8x 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/8jv1S4RHt3 https://t.co/hzEqUoZduq

    1223032K viewsView on X
  • Sep 1, 20262.7x 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/pvADSnFilW

    1501023K 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 6 interactions against 1.2M followers, an engagement rate of 0.001%. Measured over 86 original posts, its engagement rate beats 7% of 3,882 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 15K times each, and 0.043% of those impressions turn into an interaction. That is about 1.28% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 86 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 43 interactions, about 7.2x its own typical post.

What is Bloomberg Originals's engagement rate on X?
Bloomberg Originals (@bbgoriginals) has an engagement rate of 0.001%, based on the median interactions across 86 original posts from the last 30 days against 1,189,402 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Bloomberg Originals sits below the 10th percentile of the 37,582 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 7% of the tracked X accounts closest to it in follower count (3,882 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 16:00 UTC, and Tuesday is its busiest day, at roughly 3.03 posts per day across the measured window.

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