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Alasdair Macleod engagement report

@MacleodFinance - 104K followers on X

Measured over 23 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Middle of its size range
Per follower
0.048%
of 104K followers
Per impression
0.512%
9.8K views on a typical post
Reach
9.46%
of its followers see a post
Typical post
50
interactions (median)
Saved
0.051%
5 bookmarks on a typical post
Posting rate
1.27/day
active 37% of days
Peak time
08:00 UTC
Wednesday

A typical post picks up 50 interactions against 104K followers, an engagement rate of 0.048%. Measured over 23 original posts, its engagement rate beats 39% of 21,185 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 9.8K times each, and 0.512% of those impressions turn into an interaction. That is about 9.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 17% carry an image or video and 87% link out. The account's strongest tracked post pulled 803 interactions, about 16x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on October 15, 2026.

Compared with accounts its own size

Alasdair Macleod's engagement rate beats 39% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 24% 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 0.048%, Alasdair Macleod sits above the 25th percentile of the 213,098 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,098 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,393 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 percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 08:00 UTC, and Wednesday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video17% of posts+111%+108% to +115%34K
Outbound link87% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 17% 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.
  • 87% 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 147 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 14, 202616x their median

    Why is silver so weak? The answer has nothing to do with supply and demand, being a phenomenon of paper markets. Bullion banks can create contracts out of thin air to dump onto a quiet market, triggering stops and driving prices lower. It allows the bullion banks to pray on investors who just wanted to make a quick buck and not take delivery. We see this time and time again. Always, it presents an opportunity for stackers to buy cheap bullion. “Investors” driven by sentiment always chicken out if they have positions. Meanwhile, bullion banks acquire paper longs and are positioned for the next bull run! Moral: always a stacker be!

    6638251736K viewsView on X
  • Oct 5, 20266.0x their median

    $153,000 Gold And Billionaire Frank Guistra Warns US Dollar Collapse Is Coming https://t.co/OPCgjY6RYb

    2542518324K viewsView on X
  • Oct 9, 20264.9x their median

    WHO IS SELLING GOLD? Gold ETFs Surging Like Gold Is $5,400 While Gold Is Only $4,100 https://t.co/BLsSsn9j5b

    2071717220K viewsView on X
  • Oct 8, 20262.8x their median

    Oil up, bond yields up. Talk of war. Markets respond by downplaying currency risk. Currency is imaginary money, which is where the risk lies. When market participants wake up to this reality and the reason that China is stacking gold, by dumping currencies irrespective of price, the Damascene conversion will be spectacular! Meanwhile, take advantage of this neo-Keynesian idiocy and copy the Chinese. If you don’t, you will almost certainly look back to October 2026 and say, “If only I’d bought gold and silver, instead of panicking…” This is what all amateur traders do. I’ve heard the “if only" phrase countless times during my professional career! The one constant in markets over time is human psychology.

    11911908.9K viewsView on X
  • Oct 10, 20262.7x their median

    To put it into perspective, Trump’s deal with Putin to supply 300,000 tonnes of diesel is just 7.5% of global daily consumption at 4m tonnes. Headline grabbing stuff rather than game-changer. More importantly, what did Trump give up to Putin??

    106721011K viewsView on X
  • Oct 10, 20262.1x their median

    Costa Says Buying Silver Stocks Now Will Make A Fortune For Investors https://t.co/4PQl6k6T7C

    88106111K viewsView on X
  • Oct 5, 20261.6x their median

    Look At Who Just Warned It’s Too Late To Save The US Bond Market https://t.co/GM1Lmjo9ed

    6867013K viewsView on X
  • Oct 6, 2026

    Japan Is About to Nuke the Global Economy https://t.co/XRFGTtDPLS

    6355111K viewsView on X
  • Oct 10, 2026

    🚨THE CRACK UP BOOM IS HERE⚠️-Rafi Farber ⚡️HYPERINFLATION⁉️The END GAME Investor's @RafiFarber Warns the Long Feared CRACK UP BOOM is no longer coming...IT'S HERE: 👇 https://t.co/D1jLi5tlQa

    6344120K viewsView on X
  • Oct 12, 2026

    HISTORIC CONTRARIAN INDICATOR: Bullish Sentiment For Gold Has Collapsed! https://t.co/tDOsbi5NZV

    5857014K 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 50 interactions against 104K followers, an engagement rate of 0.048%. Measured over 23 original posts, its engagement rate beats 39% of 21,185 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 9.8K times each, and 0.512% of those impressions turn into an interaction. That is about 9.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 17% carry an image or video and 87% link out. The account's strongest tracked post pulled 803 interactions, about 16x its own typical post.

What is Alasdair Macleod's engagement rate on X?
Alasdair Macleod (@MacleodFinance) has an engagement rate of 0.048%, based on the median interactions across 23 original posts from the last 30 days against 103,588 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.048%, Alasdair Macleod sits above the 25th percentile of the 213,098 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 @MacleodFinance have real engagement?
Its engagement rate beats 39% of the tracked X accounts closest to it in follower count (21,185 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 @MacleodFinance post?
Most posts go out around 08:00 UTC, and Wednesday is its busiest day, at roughly 1.27 posts per day across the measured window.

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