Back to @EvanCarmichael's profile

Evan Carmichael #Believe engagement report

@EvanCarmichael - 189K followers on X

Measured over 45 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 189K followers
Per impression
0.193%
519 views on a typical post
Reach
0.27%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.5/day
active 90% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 1 interaction against 189K followers, an engagement rate of 0.001%. Measured over 45 original posts, its engagement rate beats 3% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 519 times each, and 0.193% of those impressions turn into an interaction. That is about 0.274% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 45 posts sampled, 100% carry an image or video and 64% link out. The account's strongest tracked post pulled 5 interactions, about 5.0x its own typical post.

Measured over 45 original posts from a 30-day window, last computed on October 12, 2026.

Compared with accounts its own size

Evan Carmichael #Believe's engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,183 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 11% 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 0.001%, Evan Carmichael #Believe sits below the 10th percentile of the 202,175 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,175 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,928 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video100% of posts+111%+108% to +115%34K
Outbound link64% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 64% 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 170 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 23, 20265.0x their median

    Don’t let the 8k watch hours Scare you.. it only takes 1 video https://t.co/sFqyIRjVxV

    5000769 viewsView on X
  • Oct 1, 20264.0x their median

    Does A/B testing ever show a thumbnail winning on CTR but actually hurting retention? - @Callmesnth https://t.co/mMRbkfov0t

    3010587 viewsView on X
  • Sep 30, 20264.0x their median

    How long should I let a YouTube split test run before ending it and trying something different? https://t.co/ISxWLWH4uq

    3010675 viewsView on X
  • Sep 25, 20264.0x their median

    YouTube Announces A/B Testing For Videos https://t.co/sQrRLX75Us YouTube announced plans to let creators test up to three different versions of a video's content right when it is released. This update isn't available yet, but it is expected to launch sometime in 2027. You can't use this tool to change older videos that are already on your channel. The system will pick the winning video based on which version gets the most watch time. It's best to only test three different versions of your first minute instead of editing the whole video three times. Most viewers leave a video in the first minute, so testing different opening hooks gives you the biggest boost in views. YouTube still hasn't figured out how to handle issues like language translations, copyright rules, and video timestamps. Viewers might get confused if they share a video link with a friend and the friend sees a completely different video. Some creators might try to troll people by uploading completely different videos, like testing a 10 minute video against nine unedited hours. If you don't trick your audience and use the tool to make better intros, it will help you grow your channel and reach more people.

    4000672 viewsView on X
  • Sep 20, 20264.0x their median

    I Asked A YouTube Strategist 14 Questions On Split Testing Video Thumbnails and Titles https://t.co/MRANcrmUbl

    40001.1K viewsView on X
  • Sep 15, 20264.0x their median

    First video got 9K views, second got 300, third got 40. What am I doing wrong? https://t.co/pviD7eIUvv

    4000960 viewsView on X
  • Aug 30, 20264.0x their median

    195% lift in click-through after a YouTube thumbnail swap. YouTube was already showing it to people. Get BrandLytics and find yours: https://t.co/WERc4m0Myn https://t.co/fYAETlObYG

    3100561 viewsView on X
  • Aug 14, 20264.0x their median

    hanged the YouTube thumbnail on one of my videos and clicks went up 137%. Same video, same title, new thumbnail. Try BrandLytics on your channel: https://t.co/WERc4m0Myn https://t.co/ZHt7Rl1QgE

    3010573 viewsView on X
  • Oct 3, 20263.0x their median

    Is it possible to do more than one test at a time with BrandLytics? https://t.co/NI2llMVve8

    2010815 viewsView on X
  • Sep 23, 20263.0x their median

    1,992 hours. $9,600 in gear and materials. $0 back. My YouTube channel post-mortem after 33 months. Support Eugene at: https://t.co/dn1GZ397l1 https://t.co/0hzffpGEH3

    2010530 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.

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 1 interaction against 189K followers, an engagement rate of 0.001%. Measured over 45 original posts, its engagement rate beats 3% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 519 times each, and 0.193% of those impressions turn into an interaction. That is about 0.274% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 45 posts sampled, 100% carry an image or video and 64% link out. The account's strongest tracked post pulled 5 interactions, about 5.0x its own typical post.

What is Evan Carmichael #Believe's engagement rate on X?
Evan Carmichael #Believe (@EvanCarmichael) has an engagement rate of 0.001%, based on the median interactions across 45 original posts from the last 30 days against 189,131 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Evan Carmichael #Believe sits below the 10th percentile of the 202,175 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 @EvanCarmichael have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the bottom 10% 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 @EvanCarmichael post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.5 posts per day across the measured window.

Keep going