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Peter Schmitt engagement report

@schmitt_it - 176K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Per follower
0.002%
of 176K followers
Per impression
0.86%
349 views on a typical post
Reach
0.2%
of its followers see a post
Typical post
3
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.1/day
active 7% of days
Peak time
06:00 UTC
Tuesday

Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 3 interactions against 176K followers, an engagement rate of 0.002%. Posts are seen about 349 times each, and 0.86% of those impressions turn into an interaction. That is about 0.198% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 1.2K interactions, about 408x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 3 original posts from a 30-day window, last computed on October 18, 2026.

Where this sits in the catalog

At 0.002%, Peter Schmitt sits below the 10th percentile of the 200,661 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.67%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 200,661 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,898 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 percentile0.141%
75th percentile0.67%
90th percentile2.53%
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 06:00 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: 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: 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 0% 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 367 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

  • Nov 6, 2025408x their median

    Neom, Saudi Arabia's planned city, was an ambitious project intended to showcase the country's efforts to transition from oil to a digital economy. But Mohammed bin Salman’s utopian city was undone by the laws of physics and finance. https://t.co/QL6hAYvhDc https://t.co/ZY50q7jZPO

    816187100121675K viewsView on X
  • Nov 14, 2025188x their median

    What did you Grok this week? Share your work / images / videos Anything! https://t.co/xz11BRyLpX

    24227288645K viewsView on X
  • Nov 9, 20253.3x their median

    Dein grĂ¶ĂŸter Projekt-Engpass 2025? 🧹 @epco_de #ITSanierung #Projektmanagement

    3061361 viewsView on X
  • Nov 11, 20251.7x their median

    đŸ—łïž Dein grĂ¶ĂŸter Projekt-Fehler 2025? A) Unklare Ziele B) Scope Creep C) Zu wenig Puffer D) Falsche Tools 👇 #ITSanierung #RĂŒckwĂ€rtsPlanen https://t.co/SZB6LaCtlo

    1031192 viewsView on X
  • Oct 13, 2026

    Wenn ein Projekt brennt, braucht es zuerst keine 20 Seiten PrĂ€sentation. Es braucht jemanden, der in den ersten Tagen stabilisiert: PrioritĂ€ten klĂ€rt, Entscheidungen erzwingt und dem Team wieder Boden unter die FĂŒĂŸe gibt. Die Ursachenforschung kommt danach. Deshalb sage ich: Paramedics statt Berater.

    4000301 viewsView on X
  • Dec 5, 2025

    8/10: Der Fehler, den fast jedes IT-Team macht (und der teurer ist als alle anderen zusammen): „Wir haben alles im Griff – wir arbeiten ja agil.“ RealitĂ€t: Die meisten „agilen“ Teams sind nur schneller im Scheitern. Sie nennen es Sprint, ich nenne es kontrolliertes Chaos. Fix: Definiere klare Definition of Done (DoD) pro Sprint – oder bleib bei Wasserfall. Dein Team agil oder Fake? 👇 #ITFehler #AgileFail

    3010432 viewsView on X
  • Nov 25, 2025

    Sofort-Beispiel – so sieht rĂŒckwĂ€rts in einem Sprint aus: Sprint-Ziel: „Login mit 2FA 100 % fertig + getestet + live“ Letzter Task am Freitag: „Demo lĂ€uft, alle sind happy“ ← Was muss am Donnerstag fertig sein? ← Was am Mittwoch? ← Was am Dienstag? ← Was heute Morgen? Plötzlich ist alles glasklar – kein „irgendwann“ mehr. Morgen 7/10: Die 3 Fehler, die selbst gute Teams killen DM fĂŒr kostenloses RĂŒckwĂ€rts-Sprint-Template (Excel) Wer will das Template? 👇 #RĂŒckwĂ€rtsPlanen @epco_de @grok

    4000209 viewsView on X
  • Oct 13, 2026

    Ich habe selten ein IT-Projekt gesehen, das an der Technik gescheitert ist. Gescheitert sind sie fast immer frĂŒher: an dem Tag, an dem jemand Rot gesehen und Gelb berichtet hat. Nicht aus Bosheit, sondern aus Hoffnung. Und Hoffnung ist leider kein Projektstatus.

    2010349 viewsView on X
  • Nov 24, 2025

    Die meisten Agile-Teams planen immer noch vorwĂ€rts → deshalb 68 % Sprint-Ziele verfehlt. Trick: Sprint-Backlog rĂŒckwĂ€rts bauen. So macht epco es: 1. Endziel des Sprints fix (z. B. „Feature X 100 % fertig + getestet“) 2. Letzter Task = „Demo lĂ€uft“ 3. RĂŒckwĂ€rts bis heute Dein Sprint-Ziel klar? 👇 #ITSanierung @epco_de @grok

    3000173 viewsView on X
  • Nov 17, 2025

    5/10: RĂŒckwĂ€rts vs. VorwĂ€rts – die harten Zahlen 87% aller IT-Projekte scheitern (Standish 2025) RĂŒckwĂ€rts-Planen (EKS-Methode): –30% Zeit –25% Kosten x fache Erfolgsquote VorwĂ€rts = Hoffnungsplanung. Deine Erfahrung? 👇 #ITSanierung DM fĂŒr Audit @epco_de @grok

    2010225 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 3 interactions against 176K followers, an engagement rate of 0.002%. Posts are seen about 349 times each, and 0.86% of those impressions turn into an interaction. That is about 0.198% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 1.2K interactions, about 408x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Peter Schmitt's engagement rate on X?
Peter Schmitt (@schmitt_it) has an engagement rate of 0.002%, based on the median interactions across 3 original posts from the last 30 days against 176,481 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Peter Schmitt sits below the 10th percentile of the 200,661 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 @schmitt_it have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @schmitt_it post?
Most posts go out around 06:00 UTC, and Tuesday is its busiest day, at roughly 0.1 posts per day across the measured window.

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