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ChrisExcel engagement report

@ChrisExcel102 - 3.6M followers on X

Measured over 194 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Middle of its size range
Per follower
0.027%
of 3.6M followers
Per impression
0.846%
112K views on a typical post
Reach
3.14%
of its followers see a post
Typical post
946
interactions (median)
Saved
0.041%
46 bookmarks on a typical post
Posting rate
28/day
active 103% of days
Peak time
18:00 UTC
Tuesday

A typical post picks up 946 interactions against 3.6M followers, an engagement rate of 0.027%. Measured over 194 original posts, its engagement rate beats 50% 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 112K times each, and 0.846% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 28 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 194 posts sampled, 88% carry an image or video and 6% link out. The account's strongest tracked post pulled 96K interactions, about 102x its own typical post. Recurring topics include #incaseyoumissedit, #nodnajustrsa, #easybet.

Measured over 194 original posts from a 30-day window, last computed on October 7, 2026. Recurring tags: #incaseyoumissedit, #nodnajustrsa, #easybet.

Compared with accounts its own size

ChrisExcel's engagement rate beats 50% 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 45% 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 0.027%, ChrisExcel sits above the 25th percentile of the 156,027 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.127%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 156,027 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,983 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 percentile83.1%

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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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 video88% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 88% 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.
  • 6% 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 124 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 13, 2026102x their median

    tried drug dealer gimmick for some extra income, and my first client was an undercover cop https://t.co/E0qrrttM1f

    90K6.1K2294291.0M viewsView on X
  • Mar 28, 202659x their median

    Will Smith is seen living his best life in Africa as his wife Jada debates if she should let him move back in.πŸ‘€ https://t.co/mDHOA3lWsB

    42K2.7K2.1K77311M viewsView on X
  • Sep 8, 202649x their median

    PhD in Chemical engineering bagged πŸ›οΈβ™₯️πŸ”₯😁 #UCTGrad2026 #UCT https://t.co/W1gUSsp3xp

    42K2.8K7892511.5M viewsView on X
  • Sep 3, 202444x their median

    Phori in 2035 on his way to the studio to add β€œFeat Madumane” on a track of DJ arch Junior & Kairo Forbes 😭😭 https://t.co/ozjoSdb93r

    29K3.2K1.1K4103.0M viewsView on X
  • Sep 4, 202632x their median

    From the war zone in Somalia https://t.co/GS2SSCmeyA

    26K2.0K9367186.8M viewsView on X
  • Oct 3, 202627x their median

    Mais de 1 milhΓ£o de pessoas com Lula na Avenida Paulista! Acabou gente, vai ser no primeiro turno!!! β­οΈπŸ‡§πŸ‡·πŸ‡§πŸ‡·πŸ‡§πŸ‡·πŸ‡§πŸ‡· https://t.co/h6Uwfuc4K5

    22K2.7K5522221.4M viewsView on X
  • Sep 23, 202623x their median

    I miss when girls made me nervous, now they just piss me tf off 😭

    19K2.8K104131371K viewsView on X
  • Oct 6, 202623x their median

    Rubi Rose shares new photos while on vacation πŸ“Έ https://t.co/UFGRZJl758

    21K573124200857K viewsView on X
  • Sep 29, 202619x their median

    What we see What Amanda see https://t.co/tSWxY1mmbA

    16K1.5K524160706K viewsView on X
  • Oct 1, 202618x their median

    Me on Zimbabwean Twitter trying read Shona tweets that are insulting Wicknell Chivayo πŸ˜­πŸ˜­πŸ˜­β€¦ https://t.co/cJ7jn9nuQF

    15K1.6K29372611K 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

#incaseyoumissedit#nodnajustrsa#easybet#fakemarriages#fakepastors

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.

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Reading these numbers

A typical post picks up 946 interactions against 3.6M followers, an engagement rate of 0.027%. Measured over 194 original posts, its engagement rate beats 50% 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 112K times each, and 0.846% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 28 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 194 posts sampled, 88% carry an image or video and 6% link out. The account's strongest tracked post pulled 96K interactions, about 102x its own typical post. Recurring topics include #incaseyoumissedit, #nodnajustrsa, #easybet.

What is ChrisExcel's engagement rate on X?
ChrisExcel (@ChrisExcel102) has an engagement rate of 0.027%, based on the median interactions across 194 original posts from the last 30 days against 3,559,318 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.027%, ChrisExcel sits above the 25th percentile of the 156,027 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 @ChrisExcel102 have real engagement?
Its engagement rate beats 50% 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 @ChrisExcel102 post?
Most posts go out around 18:00 UTC, and Tuesday is its busiest day, at roughly 28 posts per day across the measured window.

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