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Mohamed A. El-Erian engagement report

@elerianm - 1.1M followers on X

Measured over 56 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.025%
of 1.1M followers
Per impression
0.7%
39K views on a typical post
Reach
3.61%
of its followers see a post
Typical post
276
interactions (median)
Saved
0.052%
20 bookmarks on a typical post
Posting rate
2.43/day
active 47% of days
Peak time
12:00 UTC
Monday

A typical post picks up 276 interactions against 1.1M followers, an engagement rate of 0.025%. Measured over 56 original posts, its engagement rate beats 48% of 3,862 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 39K times each, and 0.7% of those impressions turn into an interaction. That is about 3.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 56 posts sampled, 61% carry an image or video and 29% link out. The account's strongest tracked post pulled 1.2K interactions, about 4.3x its own typical post. Recurring topics include #economy, #markets, #bitcoin.

Measured over 56 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #economy, #markets, #bitcoin.

Compared with accounts its own size

Mohamed A. El-Erian's engagement rate beats 48% of the tracked X accounts closest to it in follower count (3,862 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 41% 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 0.025%, Mohamed A. El-Erian sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

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 12:00 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 12:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
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 19, 20264.3x their median

    Thank you, Richard, for the interesting conversation. @cnn @questCNN @richardquest https://t.co/VVl0EmkxEo

    9511673525103K viewsView on X
  • Aug 24, 20264.0x their median

    Here are two reasons why I am less than comfortable with the US Treasury being drawn deeper into price determination in the government bond market: First, the track record of such intervention is shaky once you move beyond addressing market malfunction and/or preventing major institutional shocks—neither of which seems to be the case today. Second, it's usually not healthy when markets consistently dictate extraordinary official interventions rather than the other way around—which is a risk here. #economy #markets #bonds

    8311649416108K viewsView on X
  • Aug 19, 20263.7x their median

    The bond market reacted to news of increased Treasury buybacks by pushing longer-term yields down across the board. Beyond the immediate reaction, this move is less about the buyback itself, which is small in both absolute terms and relative to net issuance, than about the possibility of a broader deployment of “yield curve control” (YCC). #economy #yields #bonds #markets

    73514510140193K viewsView on X
  • Aug 18, 20263.4x their median

    Good morning. An issue frequently discussed here—higher bond yields—has now decisively evolved into a global phenomenon. US yield dynamics, driven largely by massive corporate and government issuance calendars, are increasingly fueling cross-border spillovers, also pushing borrowing costs in other economies to multi-decade highs. (Bloomberg chart below on the US 30-year government bond yield.) #economy #markets #bonds

    738132611185K viewsView on X
  • Aug 28, 20263.3x their median

    Good morning. Record currency intervention by Japan: According to Bloomberg reporting, the Japanese Ministry of Finance spent $96 billion in the month ending August 26 to support the yen—a record one-month level augmented by the rare joint and coordinated action with the US on July 31. After strengthening to nearly 156 per dollar immediately following the joint intervention (chart below), the yen has weakened back toward 160, a level widely viewed as a possible trigger line for further intervention. Meanwhile, the big question remains when/if Japan will deploy a more comprehensive policy response involving the Ministry, the Bank of Japan, and the Prime Minister's Office. #economy #markets #yen #currency #fx

    7191175015302K viewsView on X
  • Aug 28, 20263.3x their median

    US Treasury curve move sends 2 messages Today’s 2s-10s (~7 bps) and 2s-30s (~10 bps) yield curve flattening (Bloomberg charts below) would suggest a double message from fixed income markets: Short-term hawkish repricing following Chair Warsh’s firm commitment to the inflation target. An endorsement of longer-term Fed credibility. #economy #markets #federalreserve

    73410356779K viewsView on X
  • Aug 28, 20263.2x their median

    The market-implied probability of a September Fed rate hike has jumped to nearly 60%, while Kalshi currently prices it at 49%. Both seem too high for three reasons: Market-based measures of inflation expectations remain well anchored. AI-driven productivity gains give reasons to be more optimistic about the future evolution of the supply side, while AI demand-side worries are likely to abate. Fed rate hikes will hit most already struggling, interest-rate-sensitive sectors such as housing. #economy #markets #federalreserve #inflation

    679831121582K viewsView on X
  • Aug 20, 20263.1x their median

    FYI: My thoughts on the recent surge in yields, yesterday’s Treasury buyback announcement, and what’s next. https://t.co/ufrHXDhhgb #economy #markets #bonds #yields @nytimes https://t.co/Rr1CVPLyx0

    630126642690K viewsView on X
  • Aug 28, 20262.6x their median

    Two Yen-related updates: 1. The yen has weakened to 160 per US dollar again, which is bound to fuel intervention speculation (CNBC chart below). 2. In a letter to Senator Elizabeth Warren, US Treasury Secretary Scott Bessent stated that “Japan is a major holder of U.S. Treasuries…. Disorderly yen markets can trigger forced unwinds, which could destabilize global markets and ultimately raise borrowing costs for American families and businesses.” #economy #japan #markets #yen #fx

    55896631158K viewsView on X
  • Aug 24, 20262.6x their median

    Good morning. In the run-up to Friday’s Jackson Hole remarks by Chair Warsh, we are likely to hear several market commentators state that bond markets are "testing" the Federal Reserve by pushing longer-term yields higher. Yet the specific market indicators that would support that narrative don't align. If markets are testing anyone—and I am skeptical of that formulation—they are testing the federal budget's capacity to make room for the significant uptake in the financing demand of a tech sector poised to transform productivity and enhance growth and prosperity. Rather than framing this as who is testing whom, a more accurate view is that markets are looking at a massive calendar of public and private bond issuance at a time when some demand-side anchors historically (China, Japan, GCC flows, etc.) face their own internal issues that limit appetite for US bonds. #economy #markets #federalreserve #bonds #yields

    5947150858K 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

#economy#markets#bitcoin#gold#yields

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 276 interactions against 1.1M followers, an engagement rate of 0.025%. Measured over 56 original posts, its engagement rate beats 48% of 3,862 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 39K times each, and 0.7% of those impressions turn into an interaction. That is about 3.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 56 posts sampled, 61% carry an image or video and 29% link out. The account's strongest tracked post pulled 1.2K interactions, about 4.3x its own typical post. Recurring topics include #economy, #markets, #bitcoin.

What is Mohamed A. El-Erian's engagement rate on X?
Mohamed A. El-Erian (@elerianm) has an engagement rate of 0.025%, based on the median interactions across 56 original posts from the last 30 days against 1,093,721 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, Mohamed A. El-Erian sits above the 25th 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 @elerianm have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (3,862 accounts), which puts it in the middle of its size range 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 @elerianm post?
Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 2.43 posts per day across the measured window.

Keep going

Mohamed A. El-Erian (@elerianm) Engagement Rate - 0.025% | PlayerSells