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JP engagement report

@jpbrammer - 148K followers on X

Measured over 9 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Top 10% for its size
Per follower
4.41%
of 148K followers
Per impression
1.93%
338K views on a typical post
Reach
228.5%
of its followers see a post
Typical post
6.5K
interactions (median)
Saved
0.09%
305 bookmarks on a typical post
Posting rate
2.13/day
active 77% of days
Peak time
00:00 UTC
Wednesday

A typical post picks up 6.5K interactions against 148K followers, an engagement rate of 4.41%. Measured over 9 original posts, its engagement rate beats 99% 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 338K times each, and 1.93% of those impressions turn into an interaction. That is about 228.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 00:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 32K interactions, about 4.9x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on September 25, 2026.

Compared with accounts its own size

JP's engagement rate beats 99% 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 60% 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 4.41%, JP sits above the 90th percentile of the 205,048 accounts in this comparison. That places it in the top 10% band, which runs 2.55% to 82.4%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video33% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 33% 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 143 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

  • Sep 30, 20224.9x their median

    Hillary Clinton interviewing a 100 year old French clown https://t.co/P0V2UMrLXZ

    27K3.0K1461.2KView on X
  • Aug 3, 20243.1x their median

    a intro de losing you da Solange https://t.co/7FUBkpHCOK

    16K4.0K2155541.2M viewsView on X
  • Sep 10, 20262.8x their median

    As a real deer enjoyer, the characterization of deer by a certain coquettish twitter poster as helpless and fragile dainty creatures bothers me. Deer are amazingly resilient animals and can be incredibly fierce

    16K1.4K983001.2M viewsView on X
  • Sep 25, 20262.2x their median

    [tracy chapman voice] you gotta mask bar

    13K1.0K4532232K viewsView on X
  • Sep 23, 2026

    there's a range of rabidly antisocial behaviors that have been allowed to flourish in lefty-land that are only acceptable to talk about when there's An Incident of such clownish proportions that a temporary "letting out of steam" is permitted until Ted Cruz weighs in

    9.2K5161837389K viewsView on X
  • Sep 25, 2026

    there should be nude beaches but for the woods. nude woods.

    8.4K325161126573K viewsView on X
  • Sep 22, 2026

    First ever direct images of a single molecule: kind of looks like a bunch of adorable caterpillars? https://t.co/dXDUbyy8O5

    5.9K430491161.6M viewsView on X
  • Sep 23, 2026

    extremely irritated at all the leftists seeing Ted Cruz pick up the story about the lesbian bar and being like "this isn't for you" like, yes it is lol. it was a right-wing hate campaign the entire time. you fell for a right-wing hate campaign

    3.1K6189687323K viewsView on X
  • Sep 23, 2026

    the comments on their instagram are so good https://t.co/gG37PCVPY3

    3.1K423552338K viewsView on X
  • Aug 4, 2026

    Sokolovsky Corp. .45 Automaster .45 ACP: Introduced 1983 https://t.co/554wdqVKwE

    2.0K1602346539K 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 6.5K interactions against 148K followers, an engagement rate of 4.41%. Measured over 9 original posts, its engagement rate beats 99% 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 338K times each, and 1.93% of those impressions turn into an interaction. That is about 228.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 00:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 32K interactions, about 4.9x its own typical post.

What is JP's engagement rate on X?
JP (@jpbrammer) has an engagement rate of 4.41%, based on the median interactions across 9 original posts from the last 30 days against 147,734 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 4.41%, JP sits above the 90th percentile of the 205,048 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 @jpbrammer have real engagement?
Its engagement rate beats 99% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% 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 @jpbrammer post?
Most posts go out around 00:00 UTC, and Wednesday is its busiest day, at roughly 2.13 posts per day across the measured window.

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