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PIMCO engagement report

@PIMCO - 243K followers on X

Measured over 21 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 243K followers
Per impression
0.166%
4.2K views on a typical post
Reach
1.73%
of its followers see a post
Typical post
7
interactions (median)
Saved
0.048%
2 bookmarks on a typical post
Posting rate
0.7/day
active 57% of days
Peak time
18:00 UTC
Monday

A typical post picks up 7 interactions against 243K followers, an engagement rate of 0.003%. Measured over 21 original posts, its engagement rate beats 12% 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 4.2K times each, and 0.166% of those impressions turn into an interaction. That is about 1.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 62% carry an image or video and 100% link out. The account's strongest tracked post pulled 63 interactions, about 9.0x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on September 27, 2026.

Compared with accounts its own size

PIMCO's engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,444 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 10% 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 0.003%, PIMCO sits below the 10th percentile of the 205,374 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 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 18:00 UTC, and Monday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video62% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 62% 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 207 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 4, 20269.0x their median

    Underweight bonds? Might be worth a second look. Bond yields are beating inflation, and valuations versus equities haven't looked this good in years. Get the full picture in our Secular Outlook → https://t.co/7zIP184Xaw https://t.co/xtHUKjaXgI

    458828.9K viewsView on X
  • Aug 27, 20265.1x their median

    U.S. Treasury buybacks can support market liquidity, but they can't control the broader forces driving long-term yields. Tiffany Wilding explains why the Treasury is unlikely to move too far away from its "regular and predictable" framework. Read the latest Macro Signposts. https://t.co/zHK7mqBg0j

    322029.3K viewsView on X
  • Sep 2, 20264.7x their median

    Will the Fed hike again? The debate increasingly centers on inflation expectations and inflation persistence. But today's inflation doesn't appear to be coming from labor costs. Unit labor costs remain subdued, labor share is falling, and profit margins remain elevated. Tiffany Wilding’s latest Macro Signposts explores the implications.→ https://t.co/Sn311PxyMr

    2433311K viewsView on X
  • Sep 21, 20263.7x their median

    AI capex may lift real yields, just not by crowding out Treasuries. See why in Lotfi Karoui's latest Credit Market Lens. https://t.co/07j0F70GVW

    183326.3K viewsView on X
  • Sep 17, 20263.6x their median

    The Fed raised rates in September, but the bigger story may be what's next. Tiffany Wilding explores why the hike could signal a stronger commitment to returning inflation to target, even as wage pressures continue to ease. Read her latest Macro Signposts. https://t.co/qCaFKD1A3v

    212205.1K viewsView on X
  • Aug 24, 20263.3x their median

    Why are long-term bond yields rising? Marc Seidner and Pramol Dhawan point to growing sovereign debt, AI-related corporate bond issuance, and inflation concerns. What does this mean for long-term investors? Read more: https://t.co/O4xt06k6DS

    174207.2K viewsView on X
  • Aug 6, 20263.0x their median

    Bond yields are well above inflation. In a market where outcomes feel less certain, that added income cushion may help support returns while also providing stability in tougher scenarios. For more on why starting yields are a strong predictor of future returns, take a look at our latest Secular Outlook: https://t.co/k8zW4maE5D

    182017.7K viewsView on X
  • Aug 7, 20262.7x their median

    With yields at more compelling levels, investors may not need to chase risk to pursue income. Dan Ivascyn explains below. Learn more at https://t.co/5vLYv0AGYi https://t.co/6tcecZnmQj

    133125.7K viewsView on X
  • Sep 21, 20262.4x their median

    Airlines now lease more than half their global fleet, up from a fraction in 1990. The result is durable demand for scaled financing partners. See why PIMCO sees opportunity in aircraft leasing → https://t.co/QQI0WxvDIB https://t.co/Dwe6To0Z9i

    142015.5K viewsView on X
  • Sep 23, 20262.0x their median

    The AI capex cycle. A shifting inflation picture. A new Federal Reserve. What's ahead for investors? Register now for PIMCO's Cyclical Outlook Webcast on October 14th. We'll cover the trajectory of AI capital spending, the path for inflation and monetary policy, and how an evolving Fed framework could potentially reprice risk across markets. Register now: https://t.co/c5nzuXlC2S

    102203.8K 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 7 interactions against 243K followers, an engagement rate of 0.003%. Measured over 21 original posts, its engagement rate beats 12% 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 4.2K times each, and 0.166% of those impressions turn into an interaction. That is about 1.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 62% carry an image or video and 100% link out. The account's strongest tracked post pulled 63 interactions, about 9.0x its own typical post.

What is PIMCO's engagement rate on X?
PIMCO (@PIMCO) has an engagement rate of 0.003%, based on the median interactions across 21 original posts from the last 30 days against 242,916 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, PIMCO sits below the 10th 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 @PIMCO have real engagement?
Its engagement rate beats 12% 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 @PIMCO post?
Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 0.7 posts per day across the measured window.

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