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Brian4new engagement report

@GustBrian - 295K followers on X

Measured over 74 original posts from a 30-day window, last computed on September 20, 2026.

Engagement

Middle of its size range
Per follower
0.072%
of 295K followers
Per impression
2.78%
7.7K views on a typical post
Reach
2.61%
of its followers see a post
Typical post
213
interactions (median)
Saved
0.117%
9 bookmarks on a typical post
Posting rate
2.67/day
active 43% of days
Peak time
15:00 UTC
Saturday

A typical post picks up 213 interactions against 295K followers, an engagement rate of 0.072%. Measured over 74 original posts, its engagement rate beats 56% 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 7.7K times each, and 2.78% of those impressions turn into an interaction. That is about 2.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Saturday is the busiest day of the week. Of the 74 posts sampled, 97% carry an image or video. The account's strongest tracked post pulled 14K interactions, about 68x its own typical post.

Measured over 74 original posts from a 30-day window, last computed on September 20, 2026. Recurring tag: #tiktok.

Compared with accounts its own size

Brian4new's engagement rate beats 56% of the tracked X accounts closest to it in follower count (15,519 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 74% 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 0.072%, Brian4new sits above the 25th percentile of the 157,233 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,233 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,048 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 percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video97% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 97% 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.
  • 3% 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 65 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

  • Sep 16, 202668x their median

    How can you not love baby goats 🥰 https://t.co/ss1VVjYTSp

    12K1.7K185147963K viewsView on X
  • Sep 16, 202645x their median

    Come on, push me! 🤣 https://t.co/Sb4RLOsrkp

    8.0K1.3K187122161K viewsView on X
  • Sep 18, 202632x their median

    What song do you think was playing in the background? 🎶 https://t.co/Hu1Oqdz1n4

    884575.8K131253K viewsView on X
  • Sep 15, 202627x their median

    How cute is this 😍 https://t.co/evoXGX73NT

    4.8K7451226388K viewsView on X
  • Sep 5, 202616x their median

    Seattle has gone to hell. It use to be so beautiful downtown. Use to ride the ferry over and we would spend the day walking around eating and shopping. Now it's a dump and the stores have left 🙄 https://t.co/4zlA1NDVWB

    2.0K8694379434K viewsView on X
  • Sep 15, 202616x their median

    He knew what was coming 🤣 https://t.co/VSyr1SrnuT

    2.7K43810849134K viewsView on X
  • Sep 11, 202610x their median

    She speaks the truth 🙌 https://t.co/MKEubrsWyr

    1.6K460531820K viewsView on X
  • Sep 16, 20269.8x their median

    Total perfection 10/10 🤩 https://t.co/WJ0Aj7XMBq

    1.7K2441503337K viewsView on X
  • Sep 3, 20269.4x their median

    🤣🤣🤣🤣🤣 https://t.co/ZMc5hej6hP

    1.6K3051132818K viewsView on X
  • Sep 13, 20267.4x their median

    Peter Cottontail will live another day 🤗 https://t.co/5AXkhwMlBo

    1.4K1323714106K 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

#tiktok

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 213 interactions against 295K followers, an engagement rate of 0.072%. Measured over 74 original posts, its engagement rate beats 56% 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 7.7K times each, and 2.78% of those impressions turn into an interaction. That is about 2.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Saturday is the busiest day of the week. Of the 74 posts sampled, 97% carry an image or video. The account's strongest tracked post pulled 14K interactions, about 68x its own typical post.

What is Brian4new's engagement rate on X?
Brian4new (@GustBrian) has an engagement rate of 0.072%, based on the median interactions across 74 original posts from the last 30 days against 295,376 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.072%, Brian4new sits above the 25th percentile of the 157,233 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 @GustBrian have real engagement?
Its engagement rate beats 56% 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 @GustBrian post?
Most posts go out around 15:00 UTC, and Saturday is its busiest day, at roughly 2.67 posts per day across the measured window.

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