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Max Keiser engagement report

@maxkeiser - 676K followers on X

Measured over 26 original posts from a 30-day window, last computed on August 25, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 676K followers
Per impression
0.387%
36K views on a typical post
Reach
5.31%
of its followers see a post
Typical post
138
interactions (median)
Saved
0.022%
8 bookmarks on a typical post
Posting rate
2.9/day
active 27% of days
Peak time
11:00 UTC
Tuesday

A typical post picks up 138 interactions against 676K followers, an engagement rate of 0.021%. Measured over 26 original posts, its engagement rate beats 43% of 3,774 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 0.387% of those impressions turn into an interaction. That is about 5.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 88% carry an image or video and 27% link out. The account's strongest tracked post pulled 2.0K interactions, about 15x its own typical post. Recurring topics include #interestrate, #internacionales, #tippingpoint.

Measured over 26 original posts from a 30-day window, last computed on August 25, 2026. Recurring tags: #interestrate, #internacionales, #tippingpoint.

Compared with accounts its own size

Max Keiser's engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 8 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 29% 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 0.021%, Max Keiser sits above the 25th percentile of the 36,521 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,521 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,166 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 percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.7%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 11:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 17, 202615x their median

    🦔AI companies have borrowed so much money this year that they're pushing up interest rates for the entire economy. Nomura estimates tech borrowing alone now equals 25% of what the US Treasury issues in bonds, five times more than last year. Bank of America says the surge has added about 0.3 percentage points to the 10-year yield. Bond managers are selling Treasuries to buy AI corporate debt instead because it pays more. My Take AI companies are now competing with the US government for the same pool of lenders, and the lenders are picking the corporate bonds. Alphabet's 30-year pays 6.4%. A Meta data center bond pays over 7.5%. At those rates, a 5.2% Treasury loses the fight for capital every time. That's one of the reasons long-term rates have stayed so stubborn even as the Fed tries to bring them down. JPMorgan expects $5.5 trillion in AI infrastructure spending through 2030, and most of it will be borrowed. That borrowing raises the cost of money for everyone, the government, your mortgage, small businesses trying to get a loan. The AI buildout has reached the scale where it moves rates for the whole economy, and most people paying higher borrowing costs have no idea that a data center arms race is one of the reasons why. Hedgie🤗

    1.5K3997367144K viewsView on X
  • Aug 18, 202615x their median

    🚨 $420 billion has been wiped out from US stocks at the open as the US bond crisis deepens. https://t.co/t17R9hkJ0O

    1.6K2678725119K viewsView on X
  • Aug 16, 202614x their median

    🚨 BOND MARKET CRISIS IS HITTING THE ENTIRE WORLD The Bloomberg Global Long Bond Index yield has surged to around 4.2%, its highest level since July 2008. Long term government borrowing costs are now back at levels last seen during the global financial crisis. With governments carrying far more debt today, higher yields are making refinancing increasingly expensive. This is becoming a major pressure point for global financial markets.

    1.4K35210956130K viewsView on X
  • Aug 19, 202611x their median

    Over ¥35,300,000,000,000 ($225 BILLION) has been wiped out from Japanese stocks as the NIKKEI crashed -3%, extending its sell-off into a second straight day. https://t.co/1lEbjie8IF

    1.2K243722888K viewsView on X
  • Aug 18, 202610x their median

    As Japanese Bond Yields Soar, Unrealized Losses At Life Insurers Hit $200 Billion https://t.co/SGDUylj7pg

    1.1K2574735145K viewsView on X
  • Aug 18, 20267.5x their median

    Stripe building the agentic payment platform just said on A16z pod that "tokens are the new dollars" Jensen Huang building the GPUS for the AI factories just said in his X post "in the AI economy, compute is revenue" Together, that’s the AI economy: money → compute → intelligence → output. AI is breaking the old link between economic output and human time. The AI Macro Nexus Point where AI and crypto merge to form the new agentic speed economy is starting now. https://t.co/oB6nGLCX1a

    822126602265K viewsView on X
  • Mar 22, 20266.9x their median

    True believers & builders in El Salvador are CRUSHING IT‼️ https://t.co/b00Sg0B0aM

    612280622110K viewsView on X
  • Aug 17, 20265.2x their median

    ⚠️Japan's bond market, the world's 3rd largest, is BREAKING: The 10-year JGB yield rose as much as +6 basis points to 2.93% on Monday, the highest level since 1996. At the same time, the 30-year yield climbed +7 basis points to 4.08%, nearing its record high from May, while the 20-year yield jumped +7 basis points to 3.815%. This comes as a weakening Yen and rising oil prices are fueling inflation expectations, with markets now pricing an ~80% chance of a Bank of Japan (BOJ) rate hike in September. Meanwhile, 3% for the 10-year JGB is a critical level for Japanese fiscal credibility, since it is the interest rate assumed in the government's own budget, meaning a breach would signal a rate rise the government itself did not anticipate. Complicating the BOJ's decision, Japan's Q2 GDP grew just +1.1% annualized, well below the +2% expected by economists, as private consumption and CapEx both declined. Fiscal concerns are adding further pressure, with the government yet to clarify how it will fund a planned 2-year cut to the sales tax on food. Japan's bond market is starting to price in the cost of fiscal excess.

    5281452223113K viewsView on X
  • Aug 24, 20265.2x their median

    "Dos datos importantes. El primero es que vamos a pasar a una inversión de $3,000 millones al año, que es tres veces más de lo que se ha invertido en gobiernos anteriores, el equivalente a más del 8 % del PIB. No habrá otro país en Latinoamérica que invierta un presupuesto más alto en la educación que El Salvador", resalta el Presidente @nayibbukele.

    477157671537K viewsView on X
  • Aug 18, 20264.9x their median

    JUST IN: 🇰🇷 Korean 30Y bond yield hits 4.79%, its highest level in HISTORY. With KOSPI already down 27% from its peak, rising bond yields could make things worse. https://t.co/uKGih8Y3cY

    5221232117113K 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

#interestrate#internacionales#tippingpoint

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 138 interactions against 676K followers, an engagement rate of 0.021%. Measured over 26 original posts, its engagement rate beats 43% of 3,774 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 0.387% of those impressions turn into an interaction. That is about 5.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 88% carry an image or video and 27% link out. The account's strongest tracked post pulled 2.0K interactions, about 15x its own typical post. Recurring topics include #interestrate, #internacionales, #tippingpoint.

What is Max Keiser's engagement rate on X?
Max Keiser (@maxkeiser) has an engagement rate of 0.021%, based on the median interactions across 26 original posts from the last 30 days against 675,639 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, Max Keiser sits above the 25th percentile of the 36,521 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 @maxkeiser have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,774 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 @maxkeiser post?
Most posts go out around 11:00 UTC, and Tuesday is its busiest day, at roughly 2.9 posts per day across the measured window.

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