Back to @elerianm's profile

Mohamed A. El-Erian engagement report

@elerianm - 1.1M followers on X

Measured over 130 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.022%
of 1.1M followers
Per impression
0.684%
36K views on a typical post
Reach
3.25%
of its followers see a post
Typical post
248
interactions (median)
Saved
0.041%
15 bookmarks on a typical post
Posting rate
4.87/day
active 97% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 248 interactions against 1.1M followers, an engagement rate of 0.022%. Measured over 130 original posts, its engagement rate beats 46% of 20,444 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 36K times each, and 0.684% of those impressions turn into an interaction. That is about 3.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 130 posts sampled, 78% carry an image or video and 14% link out. The account's strongest tracked post pulled 2.8K interactions, about 11x its own typical post. Recurring topics include #economy, #markets, #bonds.

Measured over 130 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #economy, #markets, #bonds.

Compared with accounts its own size

Mohamed A. El-Erian's engagement rate beats 46% 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 38% 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 0.022%, Mohamed A. El-Erian sits above 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 13:00 UTC, and Thursday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video78% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 78% 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.
  • 14% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 308 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Oct 8, 202611x their median

    One of my favorite family photos just popped up on my phone. https://t.co/3OxEHcpmkH

    2.7K4686780K viewsView on X
  • Oct 20, 20269.1x their median

    From the FT: "Investors are racing to buy credit default swaps to protect their portfolios in the event the AI boom unravels.... In a sign of investors’ increasing unease over the borrowing binge, the cost of buying CDS on many AI-linked companies has hit record highs this month." #economy #markets #tech #bonds @ft

    1.6K47710978144K viewsView on X
  • Oct 1, 20268.1x their median

    The IMF issuing a statement to reassure the public that bond markets are "functioning in an orderly manner" is highly unusual—and risks raising more questions than it answers. #economy #markets #bonds #yields @IMFNews https://t.co/csYUXFpnsq

    1.5K32512494185K viewsView on X
  • Sep 30, 20267.4x their median

    The US 10-year government bond yield is now trading at 5.30%. #economy #markets #yields #bonds https://t.co/2CMrwcKj7g

    1.4K22416541109K viewsView on X
  • Oct 18, 20267.2x their median

    From the @FT: "Cracks are appearing in America’s debt-laden $10tn AI infrastructure boom as project delays, public backlash and shaky investor confidence bring a reckoning for the data centre build-out underpinning the US economy." IMO, what makes all these issues even more interesting is that no matter how they evolve, there are significant economic, financial, social, and geopolitical implications #economy #markets #tech #ai

    1.3K32912138102K viewsView on X
  • Oct 15, 20266.6x their median

    Why are US government bond yields falling despite hotter-than-expected CPI and PPI inflation prints (CNBC chart below)? I suspect it comes down to two main drivers, with the second having more implications for the well-being of the US and global economies: A flight to quality out of formerly high-flying tech stocks that are now coming under pressure—a move reinforced by multi-year highs in nominal yields and emerging pockets of credit stress in the most vulnerable segments. Concerns over the robustness of tech as one of the two primary engines of US economic growth. #economy #growth #inflation #markets #bonds #yields

    1.3K19514245139K viewsView on X
  • Oct 6, 20266.0x their median

    Good morning. From the FT: "A sharp sell-off in US government bonds is starting to reverberate across corporate America, forcing companies to overhaul their borrowing plans and even raising the spectre of defaults among the most lowly rated businesses." Remember the historical playbook: The most vulnerable sectors get hit first and hardest. Then, if elevated borrowing costs persist, the pressure both migrates up the curve and spreads across the broader economy, domestically and internationally. #economy #markets #bonds #yields @FT

    1.1K264934290K viewsView on X
  • Sep 24, 20265.9x their median

    Flying under many radars for now, but probably not for long: The Japanese Yen has weakened back to 159 per U.S. dollar (CNBC chart), approaching the established FX intervention zone. This matters far beyond Japan for a key reason right now: Japanese foreign exchange intervention typically involves selling US securities to buy Yen, potentially adding yield pressures to an already sensitive Treasury market. #economy #markets #japan #yen #bonds #yields

    1.1K2306229106K viewsView on X
  • Oct 9, 20265.8x their median

    The reaction of European governments will be fascinating. #economy #markets #energy #diesel @cnbc https://t.co/L6Iw3HKzQA

    1.1K1531903979K viewsView on X
  • Sep 2, 20265.8x their median

    Good morning. The yield watch continues as the 10-year US Treasury tops 4.80% and the 30-year approaches 5.30%. The higher and longer yields persist, the more markets will be inclined to worry about interest rate risk turning into credit risk. (Bloomberg charts below.) #economy #markets #bonds #yields

    1.1K211702679K 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#bonds#yields#france

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 248 interactions against 1.1M followers, an engagement rate of 0.022%. Measured over 130 original posts, its engagement rate beats 46% of 20,444 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 36K times each, and 0.684% of those impressions turn into an interaction. That is about 3.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 130 posts sampled, 78% carry an image or video and 14% link out. The account's strongest tracked post pulled 2.8K interactions, about 11x its own typical post. Recurring topics include #economy, #markets, #bonds.

What is Mohamed A. El-Erian's engagement rate on X?
Mohamed A. El-Erian (@elerianm) has an engagement rate of 0.022%, based on the median interactions across 130 original posts from the last 30 days against 1,117,344 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.022%, Mohamed A. El-Erian sits above 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 @elerianm have real engagement?
Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 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 13:00 UTC, and Thursday is its busiest day, at roughly 4.87 posts per day across the measured window.

Keep going