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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.5% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 64% 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
- 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
- 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
- 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.
- Sep 20, 20264.0x their median
I Asked A YouTube Strategist 14 Questions On Split Testing Video Thumbnails and Titles https://t.co/MRANcrmUbl
- 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
- 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
- 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
- Oct 3, 20263.0x their median
Is it possible to do more than one test at a time with BrandLytics? https://t.co/NI2llMVve8
- 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
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 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.