Back to @florian_krammer's profile

Florian Krammer engagement report

@florian_krammer - 348K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Middle of its size range
Per follower
0.022%
of 348K followers
Per impression
0.874%
9.0K views on a typical post
Reach
2.58%
of its followers see a post
Typical post
78
interactions (median)
Saved
0.061%
6 bookmarks on a typical post
Posting rate
2.47/day
active 77% of days
Peak time
04:00 UTC
Wednesday

A typical post picks up 78 interactions against 348K followers, an engagement rate of 0.022%. Measured over 18 original posts, its engagement rate beats 46% of 20,444 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 9.0K times each, and 0.874% of those impressions turn into an interaction. That is about 2.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 6% carry an image or video and 72% link out. The account's strongest tracked post pulled 19K interactions, about 238x its own typical post. Recurring topics include #escv2026, #20vaccinecongress, #cdc.

Measured over 18 original posts from a 30-day window, last computed on October 7, 2026. Recurring tags: #escv2026, #20vaccinecongress, #cdc.

Compared with accounts its own size

Florian Krammer's engagement rate beats 46% 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 44% 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 0.022%, Florian Krammer sits above the 10th percentile of the 204,798 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video6% of posts+111%+108% to +115%34K
Outbound link72% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 6% 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.
  • 72% 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 266 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

  • Aug 16, 2026238x their median

    What is missing from this breakfast? https://t.co/3p67uQcxim

    2.4K21115K1.1K969K viewsView on X
  • Aug 15, 2026107x their median

    They really don't make humor like this anymore 🤠 https://t.co/oSvi9NNFq1

    7.5K7245029286K viewsView on X
  • Sep 19, 202663x their median

    interesting reversal happening where typos are now a sign of effort

    4.4K37310665135K viewsView on X
  • Oct 6, 202612x their median

    For all those people worried about plague, this is what you should actually be worried about. https://t.co/5UCqlUN2bS

    748159521448K viewsView on X
  • Sep 10, 20268.3x their median

    It would be really funny if AI tries to kill us and then it doesn't succeed because it was trained on too much misinformation. Fake news could save us 🤣

    5705715716K viewsView on X
  • Sep 11, 20267.4x their median

    The whole AI development is one big Gain of Function experiment that nobody regulates.

    4698319840K viewsView on X
  • Sep 9, 20264.4x their median

    Sadly, today marks the end of our CIVICs program (https://t.co/9el8Jzf2Vn). The program was highly successful in terms of influenza vaccine development but also in terms of responding to the COVID-19 pandemic. It is sad to see the valuable structures that were built dissolving.

    2616116427K viewsView on X
  • Aug 16, 20263.7x their median

    🚨Report: Anthropic CEO Dario Amodei says he thinks AI could make it possible to “cure most human disease” within 5-10 years https://t.co/2v9X3mrMDk

    129147966179K viewsView on X
  • Oct 5, 20263.0x their median

    Nur so, weil es mir das in die timeline spült #servicetweet zur #Lungenpest Es ist falsche Panik die hier erzeugt wird, um Klicks zu generieren. Die Lungenpest hat nicht dasselbe Potenzial, zur Pandemie zu werden wie Influenza oder Covid. 1) Das R0 ist nur bei 1,3 die secondary attack rate bei unter 20% in heuten häuslichen Verhältnissen 2) Die Kontagiosität beginnt erst MIT Symptomeneintritt, nicht wie bei Covid davor! Und die Symptome sind meist massiv= Rückzug aus der Öffentlichkeit, Spitalsbehandlung 3) Durch Schutzmaßnahmen lassen sich R0 und SAR massiv senken. Warum gab es dann Pestepidemien? Weil die hygienischen Verhältnisse ganz andere waren ebenso wie die Lebensverhältnisse. Zur Tröpfcheninfektion kamen Übertragungen durch Flöhe, und die Wohnverhältnisse waren viel beengter, wodurch die SAR viel höher war. (Kleiner fun fact dazu, wie gut es uns heute geht: Es war gerade nach der Verstädterung häufig für Industriearbeiter, sich mit anderen ein Bett zu teilen, um Kosten zu sparen (Bettgeher)). Zudem gab es keine Antibiotika und PPE, Kranke waren in der Familie, in Massenunterkünften oder auf der Straße, Behandler konnten sich wenig effektiv schützen. ==>Aus derzeitiger Sicht kein Grund zur Panik.

    1862513935K viewsView on X
  • Aug 29, 20262.7x their median

    https://t.co/uDO0fV6QzQ Falls sich wer für das West-Nil-Virus interessiert, hier ein Link zu meiner Podcast Episode: https://t.co/5gicpWkdIL https://t.co/B5gDfixqml

    16939009.5K 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

#escv2026#20vaccinecongress#cdc#eswi2027#geschichte

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 78 interactions against 348K followers, an engagement rate of 0.022%. Measured over 18 original posts, its engagement rate beats 46% of 20,444 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 9.0K times each, and 0.874% of those impressions turn into an interaction. That is about 2.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 6% carry an image or video and 72% link out. The account's strongest tracked post pulled 19K interactions, about 238x its own typical post. Recurring topics include #escv2026, #20vaccinecongress, #cdc.

What is Florian Krammer's engagement rate on X?
Florian Krammer (@florian_krammer) has an engagement rate of 0.022%, based on the median interactions across 18 original posts from the last 30 days against 347,912 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.022%, Florian Krammer sits above the 10th percentile of the 204,798 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 @florian_krammer have real engagement?
Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 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 @florian_krammer post?
Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 2.47 posts per day across the measured window.

Keep going