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Brian Stoffel engagement report

@Brian_Stoffel_ - 144K followers on X

Measured over 16 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 144K followers
Per impression
0.352%
8.7K views on a typical post
Reach
6.03%
of its followers see a post
Typical post
30
interactions (median)
Saved
0.064%
6 bookmarks on a typical post
Posting rate
0.97/day
active 43% of days
Peak time
17:00 UTC
Tuesday

A typical post picks up 30 interactions against 144K followers, an engagement rate of 0.021%. Measured over 16 original posts, its engagement rate beats 29% 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 8.7K times each, and 0.352% of those impressions turn into an interaction. That is about 6.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 56% carry an image or video, 50% are part of a thread and 13% link out. The account's strongest tracked post pulled 3.8K interactions, about 127x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on September 27, 2026.

Compared with accounts its own size

Brian Stoffel's engagement rate beats 29% of the tracked X accounts closest to it in follower count (20,444 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 19% 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%, Brian Stoffel sits above the 10th percentile of the 206,310 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.143%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 206,310 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,260 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 percentile0.143%
75th percentile0.68%
90th percentile2.56%
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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video56% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 56% 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.
  • 13% 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 324 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

  • Jan 8, 2023127x their median

    The most necessary skill in finance: How to analyze... ▪️Balance Sheet ▪️Income Statement ▪️Cash Flow Statement Even though many professionals pay $100K for an MBA or accounting class, many can't do this. Instead, here's an outline for analyzing all 3 in just 5 minutes: https://t.co/c7aQcCUtjK

    2.9K7829626711K viewsView on X
  • Aug 31, 202611x their median

    The Investor’s Curse The strange thing about investing is that the closer you get to winning, the easier it becomes to forget what winning was supposed to mean. In the beginning, you invest to become free. If you are successful enough, you can eventually spend your entire life worrying about the thing that was supposed to set you free. This is the investor’s curse: the same wealth that increases your ability to take risk can destroy your ability to tolerate it. Someone with $10m can afford to lose $1m far more easily than someone with $100k can afford to lose $10k, yet the first loss may feel infinitely more painful. Risk is experienced in dollars even when it should be understood in consequences. Success can even make your greatest investment feel like your greatest danger. The company that created your wealth becomes too large and too important to hold comfortably. Nothing about the business changed, but its success transformed it from an opportunity you hoped would work into an asset you are terrified to lose. So you diversify, but diversification introduces a risk rarely found in textbooks. You sell the few businesses you understand deeply and replace them with many you understand less, exchanging visible concentration for invisible ignorance. The portfolio may look safer while the quality of your judgment quietly declines. Then comes the most seductive trap which is believing every dollar must remain productive forever. The first $1m might buy freedom and the next few might buy security, but eventually another $1m becomes little more than a larger number on a screen. Yet many investors risk the freedom they already have to pursue money they may never meaningfully experience. Perhaps wealth should eventually change the question. Early on, the question is how much you can make, but later it should become how little of your life must remain controlled by money. If your portfolio can fall 50% without changing how your family lives or what you are free to do, the decline may be financially enormous while being practically irrelevant. The final stage of investing is not learning how to take more risk or eliminate it completely. It is learning which portion of your wealth no longer needs to participate in the contest. The greatest investors know how to compound capital, but the wisest eventually learn when capital has compounded enough. 🌹

    2781818537K viewsView on X
  • Aug 12, 20265.9x their median

    I totally get that they're competing for the same investment dollars, but the way that $SE, $MELI, $AXON, etc sell off when the AI infra stack goes up is so odd. These are not dyametrically opposed (maybe a little components for $AXON, but really...)

    153421026K viewsView on X
  • Aug 19, 20265.2x their median

    It seems like $DUOL narrative is shifting before our eyes. Thanks-in part- to a power point accident

    137119028K viewsView on X
  • Aug 26, 20264.8x their median

    $NVDA just said it sees FY 2028 rev growing by 70%. Analysts had been looking for 44% 🤯

    13239133K viewsView on X
  • Sep 9, 20264.5x their median

    Maybe, just maybe, Zuck knew what he was up to this time. $META https://t.co/5zRl2hI8TD

    12358012K viewsView on X
  • Aug 11, 20264.5x their median

    I now have a new largest position

    97038065K viewsView on X
  • Aug 11, 20263.0x their median

    Sleep on $CAVA if you wish. But stacking these comps (9% same store growth) on top of each other, with surges in traffic (+5.3%), is very impressive.

    73215118K viewsView on X
  • Sep 2, 20262.8x their median

    Credo is down 20% today. It's a new watchlist company for me, so here's my take $CRDO https://t.co/Bp00FHeFIt

    7743014K viewsView on X
  • Aug 12, 20262.2x their median

    This would probably be the first stock I'd buy right now if I was starting from scratch https://t.co/HZz9XaQjJR

    49215115K 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 30 interactions against 144K followers, an engagement rate of 0.021%. Measured over 16 original posts, its engagement rate beats 29% 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 8.7K times each, and 0.352% of those impressions turn into an interaction. That is about 6.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 56% carry an image or video, 50% are part of a thread and 13% link out. The account's strongest tracked post pulled 3.8K interactions, about 127x its own typical post.

What is Brian Stoffel's engagement rate on X?
Brian Stoffel (@Brian_Stoffel_) has an engagement rate of 0.021%, based on the median interactions across 16 original posts from the last 30 days against 143,645 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, Brian Stoffel sits above the 10th percentile of the 206,310 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 @Brian_Stoffel_ have real engagement?
Its engagement rate beats 29% 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 @Brian_Stoffel_ post?
Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 0.97 posts per day across the measured window.

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