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Andrew Lokenauth engagement report

@FluentInFinance - 446K followers on X

Measured over 21 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Top quarter for its size
Per follower
0.352%
of 446K followers
Per impression
0.911%
173K views on a typical post
Reach
38.7%
of its followers see a post
Typical post
1.6K
interactions (median)
Saved
0.025%
43 bookmarks on a typical post
Posting rate
3.03/day
active 93% of days
Peak time
14:00 UTC
Monday

A typical post picks up 1.6K interactions against 446K followers, an engagement rate of 0.352%. Measured over 21 original posts, its engagement rate beats 88% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 173K times each, and 0.911% of those impressions turn into an interaction. That is about 38.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 24% carry an image or video. The account's strongest tracked post pulled 51K interactions, about 32x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on September 23, 2026.

Compared with accounts its own size

Andrew Lokenauth's engagement rate beats 88% 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 45% 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 0.352%, Andrew Lokenauth sits above the 50th percentile of the 204,956 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video24% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 24% 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 137 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

  • Aug 5, 202632x their median

    My wife and I went to a new dentist when we first moved to town. He came highly recommended so we didn’t think twice. At the first appointment, he told me I had 7 cavities. He told my wife she had 2. My wife has never had a cavity in her life. But we reluctantly got them filled. After she got them filled, I scheduled my appointment. But then, we got skeptical. Life comes at you fast when you’re staring at a bill to fill 7 cavities. So I asked for a copy of the X-rays and sent them to my uncle who is a dentist in another state. He confirmed what we were starting to believe. That dentist was full of it. The x-rays were such low quality that you couldn’t confirm if I had even a single cavity. Let alone 7. We cancelled our appointment and found a new dentist. The new dentist said I didn’t have any. The experience still shocks me to this day. Makes you wonder, how much medical fraud is out there that no one knows about? Especially in dentistry

    43K5.1K2.5K3031.2M viewsView on X
  • Aug 5, 202624x their median

    My friend just drove to Mexico for the day to get a $350 dental procedure that would’ve cost him $5,000 in the U.S. This wasn't at a roadside clinic either. It was a state of the art facility with great reviews. Apparently a ton of Americans are going there. A four hour drive to save 93% on healthcare. Something needs fixing over here.

    32K4.1K2.1K2181.0M viewsView on X
  • Aug 9, 202612x their median

    NOW I UNDERSTAND WHY PEOPLE STOP GOING TO THE DOCTOR… Got the bill from my daughter's checkup this morning. Fifteen minutes, no tests, no prescription. $340. I pay $612 a month in premiums. That's $7,344 a year before a single visit. Someone explain why I pay for insurance ALL YEAR and then pay again every time I actually use it? WHERE IS THAT $7,344 GOING? I'll shut up and listen.

    15K1.7K2.9K216800K viewsView on X
  • Jul 29, 20269.4x their median

    The US economy basically works like this: Get paid: $4,500. Give $1,800 to a landlord. Give $450 to health insurance. Give $400 to a car payment. Give $300 to gas. Give $350 to groceries. Give $200 to student loans. Spend the rest surviving until next payday. Then get lectured by someone who bought their house for $52,000 in 1985 about how you need to stop buying avocado toast and cancel Netflix.

    12K1.4K1.0K102889K viewsView on X
  • Jul 29, 20269.1x their median

    Buyers hiring a real estate agent in 2026 is hilarious. You find your house on Zillow, your agent prints some forms, and then you pay them $18k

    13K247516471.4M viewsView on X
  • Jul 31, 20268.1x their median

    I genuinely believe a 4 day workweek with 5 to 6 hour days would change society for the better. People would be less stressed, spend more time with family and friends, and actually have the energy to enjoy life instead of just recovering from work. We'd probably end up healthier and happier because of it.

    9.0K7212.8K1631.0M viewsView on X
  • Aug 2, 20267.7x their median

    Nobody is buying a home today with a 7% interest rate. It's not happening. The housing market is going to collapse.

    9.8K5311.7K1581.5M viewsView on X
  • Aug 4, 20267.7x their median

    JUST IN: 🇺🇸 Over 25,000,000 Americans under 35 now live with their parents, an all-time high.

    10K1.1K5084371.9M viewsView on X
  • Jul 30, 20267.1x their median

    BREAKING: US mortgage rates rise to 6.66%, highest level in a year

    9.0K1.1K4885323.2M viewsView on X
  • Aug 5, 20266.5x their median

    64% of those with income between $50,000 and $99,999 are living paycheck to paycheck, per CNBC

    8.7K1.0K310193866K 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 1.6K interactions against 446K followers, an engagement rate of 0.352%. Measured over 21 original posts, its engagement rate beats 88% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 173K times each, and 0.911% of those impressions turn into an interaction. That is about 38.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 24% carry an image or video. The account's strongest tracked post pulled 51K interactions, about 32x its own typical post.

What is Andrew Lokenauth's engagement rate on X?
Andrew Lokenauth (@FluentInFinance) has an engagement rate of 0.352%, based on the median interactions across 21 original posts from the last 30 days against 445,975 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.352%, Andrew Lokenauth sits above the 50th percentile of the 204,956 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 @FluentInFinance have real engagement?
Its engagement rate beats 88% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @FluentInFinance post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 3.03 posts per day across the measured window.

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