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Brennan Schlagbaum, CPA engagement report

@Budgetdog_ - 191K followers on X

Measured over 53 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Middle of its size range
Per follower
0.056%
of 191K followers
Per impression
1.24%
8.6K views on a typical post
Reach
4.55%
of its followers see a post
Typical post
107
interactions (median)
Saved
0.092%
8 bookmarks on a typical post
Posting rate
2.43/day
active 43% of days
Peak time
19:00 UTC
Monday

A typical post picks up 107 interactions against 191K followers, an engagement rate of 0.056%. Measured over 53 original posts, its engagement rate beats 49% of 20,183 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 8.6K times each, and 1.24% of those impressions turn into an interaction. That is about 4.53% 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, though only 43% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 53 posts sampled, 9% carry an image or video. The account's strongest tracked post pulled 3.3K interactions, about 31x its own typical post.

Measured over 53 original posts from a 30-day window, last computed on October 13, 2026.

Compared with accounts its own size

Brennan Schlagbaum, CPA's engagement rate beats 49% of the tracked X accounts closest to it in follower count (20,183 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 49% 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 0.056%, Brennan Schlagbaum, CPA sits above the 25th percentile of the 201,985 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 201,985 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,906 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 19:00 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video9% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 9% 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.
  • 0% 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 233 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 9, 202631x their median

    FDIC insurance has $128 billion to cover $10 trillion in deposits.

    2.9K23713838210K viewsView on X
  • Oct 7, 202630x their median

    88% of universal life insurance policies never pay a death benefit.

    2.9K1041157543K viewsView on X
  • Sep 14, 202621x their median

    Ellie is turning 3 today. By 18, she'll have $337,052. By 30, she'll be a millionaire. By 40, she'll be financially free. Here's every account, investment, and strategy we're using for her: https://t.co/MfVXIaKsSA

    2.1K140707631K viewsView on X
  • Oct 12, 202611x their median

    Never overpay again. Here's the best time to buy everything in America: (from a former Deloitte CPA)

    1.0K76166416K viewsView on X
  • Sep 14, 20266.0x their median

    You could lose your job at any moment for many reasons. Be prepared.

    56336361080K viewsView on X
  • Oct 11, 20264.1x their median

    80% of medical bills have "mistakes" that disappear when you ask for an itemized receipt.

    3952513216K viewsView on X
  • Oct 19, 20244.1x their median

    Budgetdog will change the lives of millions 💯 https://t.co/y0RG6rf46r

    35032494484K viewsView on X
  • Oct 11, 20264.1x their median

    Every $1k you invest today is $17k in 30 years.

    3802132117K viewsView on X
  • Sep 10, 20263.3x their median

    I studied personal finance for 113,862 hours so you don't have to. Here are 25 things I'll NEVER do with money: (so you can just copy me)

    31125211150K viewsView on X
  • Oct 7, 20262.5x their median

    I've worked in finance for 13 years. I made $1M+ in 7 years by investing. Half the stocks people buy in 2026 will be useless by 2027... So here are 10 ETFs that are actually worth your money:

    2232227054K 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 107 interactions against 191K followers, an engagement rate of 0.056%. Measured over 53 original posts, its engagement rate beats 49% of 20,183 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 8.6K times each, and 1.24% of those impressions turn into an interaction. That is about 4.53% 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, though only 43% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 53 posts sampled, 9% carry an image or video. The account's strongest tracked post pulled 3.3K interactions, about 31x its own typical post.

What is Brennan Schlagbaum, CPA's engagement rate on X?
Brennan Schlagbaum, CPA (@Budgetdog_) has an engagement rate of 0.056%, based on the median interactions across 53 original posts from the last 30 days against 191,027 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.056%, Brennan Schlagbaum, CPA sits above the 25th percentile of the 201,985 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 @Budgetdog_ have real engagement?
Its engagement rate beats 49% of the tracked X accounts closest to it in follower count (20,183 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 @Budgetdog_ post?
Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 2.43 posts per day across the measured window.

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