Back to @simongerman600's profile

Simon Kuestenmacher engagement report

@simongerman600 - 304K followers on X

Measured over 27 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Middle of its size range
Per follower
0.058%
of 304K followers
Per impression
1.39%
12K views on a typical post
Reach
4.16%
of its followers see a post
Typical post
173
interactions (median)
Saved
0.153%
19 bookmarks on a typical post
Posting rate
2.37/day
active 27% of days
Peak time
06:00 UTC
Saturday

A typical post picks up 173 interactions against 304K followers, an engagement rate of 0.058%. Measured over 27 original posts, its engagement rate beats 51% of 15,519 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 12K times each, and 1.39% of those impressions turn into an interaction. That is about 4.09% 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 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Saturday is the busiest day of the week. Of the 27 posts sampled, 100% carry an image or video and 81% link out. The account's strongest tracked post pulled 995 interactions, about 5.8x its own typical post. Recurring topics include #granddesigns, #map, #poland.

Measured over 27 original posts from a 30-day window, last computed on September 19, 2026. Recurring tags: #granddesigns, #map, #poland.

Compared with accounts its own size

Simon Kuestenmacher's engagement rate beats 51% of the tracked X accounts closest to it in follower count (15,519 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 54% 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 0.058%, Simon Kuestenmacher sits above the 25th percentile of the 156,839 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,839 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,058 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 06:00 UTC, and Saturday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video100% of posts+111%+108% to +115%34K
Outbound link81% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 81% 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 258 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

  • Sep 18, 20265.8x their median

    I can't urge you enough to have a play with this interactive globe. So much data! Here I am displaying whether areas have been drier or wetter than usual. The crazy part is that you can view this data all the way back to 1940. Make sure to bookmark this tool - it really is crazy good! Source: https://t.co/0E35vdhD8P

    80516714943K viewsView on X
  • Sep 4, 20264.6x their median

    Nothing to see here. Just the 100 wealthiest Americans owning more than the bottom half of the country… https://t.co/vAWtuoH4bH

    4682001091838K viewsView on X
  • Sep 19, 20263.8x their median

    Tell your boss that I gave you the rest of the week off so you can explore this amazing interactive map showing the road network of the Roman Empire. This is so much fun to explore you can compare the Ancient and Modern road network for example. Great stuff. Your boss will understand... Source: https://t.co/Y8vig00PWY

    5756812736K viewsView on X
  • Sep 5, 20263.3x their median

    Italy’s rivers have a pulse. They swell in spring as Alpine snow melts, shrink during the dry summer, then revive with autumn rain. The mighty Po dominates, while many southern rivers almost flatline by late summer. Also, the rivers in the South are obviously much warmer than the Alpine ones. Source: https://t.co/fRl24RiNah

    4561085425K viewsView on X
  • Sep 5, 20262.7x their median

    We see US counties where at least 20% of people live in poverty. America’s poverty map reflects historical economic geography: plantation slavery across the Black Belt and Mississippi Delta, lost coal jobs in Appalachia, dispossession on Native lands, and low-wage border economies. Some isolated dots are student-heavy college towns and should be ignored. Source: https://t.co/6BWSUyNIHh

    3207567728K viewsView on X
  • Sep 2, 20262.0x their median

    This map of US Interstate exits doubles as a population density map. Exits cluster tightly across the urbanised eastern half and around major cities. Head into the sparsely populated Great Plains, deserts and Mountain West, and the distance to the next exit grows dramatically. Source: https://t.co/1FoqJVwnBN

    306338232K viewsView on X
  • Sep 3, 20261.9x their median

    Central Dallas before and after the highways arrived. Publicly funded construction from the 1950s to the 1980s displaced thousands as highways cut through Black and Latino neighbourhoods around Downtown. More detailed explanation in the source: https://t.co/X86AriEokF https://t.co/zKhjnWFZ5e

    2367020722K viewsView on X
  • Jan 29, 20251.8x their median

    I’m also sharing the same content I’m sharing here on X on Facebook where I operate as “Simon shows you maps”: https://t.co/TBzQaNNPQR

    22239412299K viewsView on X
  • Sep 3, 2026

    I for one hate it when you can only enter a tram or bus through the front door. Your friendly German social media data guy loves efficiency and hates unnecessary wait time... https://t.co/m3hYXHDquy

    1742122618K viewsView on X
  • Sep 18, 2026

    Wow, there are still places in North America where gas is pumped for you? Wild! https://t.co/lXeYXm8xB6

    147949944K 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.

Recurring topics

#granddesigns#map#poland

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 173 interactions against 304K followers, an engagement rate of 0.058%. Measured over 27 original posts, its engagement rate beats 51% of 15,519 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 12K times each, and 1.39% of those impressions turn into an interaction. That is about 4.09% 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 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Saturday is the busiest day of the week. Of the 27 posts sampled, 100% carry an image or video and 81% link out. The account's strongest tracked post pulled 995 interactions, about 5.8x its own typical post. Recurring topics include #granddesigns, #map, #poland.

What is Simon Kuestenmacher's engagement rate on X?
Simon Kuestenmacher (@simongerman600) has an engagement rate of 0.058%, based on the median interactions across 27 original posts from the last 30 days against 304,230 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.058%, Simon Kuestenmacher sits above the 25th percentile of the 156,839 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 @simongerman600 have real engagement?
Its engagement rate beats 51% of the tracked X accounts closest to it in follower count (15,519 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 @simongerman600 post?
Most posts go out around 06:00 UTC, and Saturday is its busiest day, at roughly 2.37 posts per day across the measured window.

Keep going