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MrSavage engagement report

@MrSavage - 1.9M followers on X

Measured over 8 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Top quarter for its size
Per follower
0.196%
of 1.9M followers
Per impression
2.71%
137K views on a typical post
Reach
7.25%
of its followers see a post
Typical post
3.7K
interactions (median)
Saved
0.026%
36 bookmarks on a typical post
Posting rate
0.3/day
active 23% of days
Peak time
02:00 UTC
Saturday

A typical post picks up 3.7K interactions against 1.9M followers, an engagement rate of 0.196%. Measured over 8 original posts, its engagement rate beats 83% of 15,519 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 137K times each, and 2.71% of those impressions turn into an interaction. That is about 7.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video and 25% link out. The account's strongest tracked post pulled 16K interactions, about 4.2x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on October 7, 2026.

Compared with accounts its own size

MrSavage's engagement rate beats 83% of the tracked X accounts closest to it in follower count (15,519 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 77% 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 0.196%, MrSavage sits above the 50th percentile of the 156,148 accounts in this comparison. That places it in the above the median band, which runs 0.127% to 0.604%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 156,148 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,016 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 percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.3%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video63% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 63% 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.
  • 25% 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 61 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Jul 28, 20264.2x their median

    QUALIFIED TO FNCS GRANDS WITH @Trooly77 LETS FUICKING GOOOOO https://t.co/n4A6tlMqzU

    15K60544317339K viewsView on X
  • Apr 29, 20264.2x their median

    SEE YOU IN DUSSELDORF MFS @Velofps_ https://t.co/qIBj6qrTCh

    14K66247725306K viewsView on X
  • Apr 29, 20264.1x their median

    live from eiffel tower https://t.co/Yt4ck8s7U1

    15K24810616742K viewsView on X
  • Jul 13, 20264.0x their median

    clix finally won an fncs wow🥲 enough to make a grown man cry

    14K388942610K viewsView on X
  • Jun 27, 20263.6x their median

    From kids chasing a dream to watching you become a literal Icon. Congratulations brother🙏🐐 https://t.co/K8C53dEfZ3

    13K365665276K viewsView on X
  • Aug 14, 20262.7x their median

    wow, 7 points away from lan. 7th place lcq finals and we dont qual🙃

    9.4K1914127255K viewsView on X
  • May 30, 20262.6x their median

    https://t.co/oDngR2Ixkp

    8.9K2263476210K viewsView on X
  • Jun 1, 20262.6x their median

    On my way home, sorry for dissapointing you guys. Had a lot of fun regardless and it’s always good meeting everyone again but definitely should’ve done better Sometimes things don’t work out and the only thing you can do is learn from it and put in more work for the next one :/ Will see you guys in belgium later this year❤️

    8.9K2762386222K viewsView on X
  • Aug 17, 20262.4x their median

    IM IN PARIS🇫🇷 Will be co-streaming the Fortnite @EWC_EN with the big ceo @Clix LETS GOOO https://t.co/v3s78IOWB9

    8.8K172915188K viewsView on X
  • Aug 2, 20262.4x their median

    tried our best wasn’t enough gg :/

    8.5K1342952288K 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 3.7K interactions against 1.9M followers, an engagement rate of 0.196%. Measured over 8 original posts, its engagement rate beats 83% of 15,519 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 137K times each, and 2.71% of those impressions turn into an interaction. That is about 7.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video and 25% link out. The account's strongest tracked post pulled 16K interactions, about 4.2x its own typical post.

What is MrSavage's engagement rate on X?
MrSavage (@MrSavage) has an engagement rate of 0.196%, based on the median interactions across 8 original posts from the last 30 days against 1,886,307 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.196%, MrSavage sits above the 50th percentile of the 156,148 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 @MrSavage have real engagement?
Its engagement rate beats 83% of the tracked X accounts closest to it in follower count (15,519 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 @MrSavage post?
Most posts go out around 02:00 UTC, and Saturday is its busiest day, at roughly 0.3 posts per day across the measured window.

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