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Romi Chase engagement report

@romi_chase - 1.4M followers on X

Measured over 22 original posts from a 30-day window, last computed on August 20, 2026.

Engagement

Middle of its size range
Per follower
0.048%
of 1.4M followers
Per impression
1.81%
36K views on a typical post
Reach
2.63%
of its followers see a post
Typical post
652
interactions (median)
Saved
0.195%
70 bookmarks on a typical post
Posting rate
1.53/day
active 50% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 652 interactions against 1.4M followers, an engagement rate of 0.048%. Measured over 22 original posts, its engagement rate beats 64% of 983 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 36K times each, and 1.81% of those impressions turn into an interaction. That is about 2.63% 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 roughly 50% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 27% link out. The account's strongest tracked post pulled 4.5K interactions, about 6.9x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on August 20, 2026. Recurring tag: #sarajay.

Compared with accounts its own size

Romi Chase's engagement rate beats 64% of the tracked X accounts closest to it in follower count (983 accounts, accounts of similar size (decile 6 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 71% 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 0.048%, Romi Chase sits above the 50th percentile of the 9,668 accounts in this comparison. That places it in the above the median band, which runs 0.046% to 0.318%.

p100.001%
p250.006%
p50 (median)0.046%
p750.318%
p902.67%
p99366.2%
Engagement rate as a share of followers, across the 9,668 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 457,772 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 percentile0.001%
25th percentile0.006%
50th percentile0.046%
75th percentile0.318%
90th percentile2.67%
99th percentile366.2%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 97%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%14K
01:00 UTC+3%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-4%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%16K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%28K
15:00 UTC-1%30K
16:00 UTC-1%29K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%23K
20:00 UTC0%21K
21:00 UTC+1%19K
22:00 UTC+1%16K
23:00 UTC+1%15K
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 97%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+9%56K
Monday+8%72K
Tuesday+1%93K
Wednesday-4%77K
Thursday-3%70K
Friday-6%71K
Saturday+2%62K
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 video64% of posts+79%+73% to +84%5.7K
Outbound link27% of posts-49%-50% to -47%6.0K
Typical length--7%-8% to -5%8.9K
  • 64% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 27% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
  • Its average post runs 131 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 7% 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

  • Jan 9, 20236.9x their median

    Everyone's wondering why my girl Sara Jay is trending! This happened 48 hours ago ha! @sarajayxxx #sarajay https://t.co/HfB0WtoGGi

    4.3K112973879K viewsView on X
  • Aug 9, 20266.6x their median

    Come join me in my lair. 💛👑 https://t.co/7JuuXYy7mP I added a nice discount to make it easier https://t.co/iXsOZyC7if

    4.1K13776080K viewsView on X
  • Aug 15, 20265.0x their median

    Back or front ?? 🤩 https://t.co/oFljicPKq9

    3.0K1161650100K viewsView on X
  • Aug 7, 20262.9x their median

    I quit smoking weed because it is probably one of the saddest drugs. You probably won’t hit the same rock bottom as alcoholism or other addictions. You can’t overdose and you probably won’t lose your job or your wife or die an early death. But you’ll wake up one day and entire slices of your life will just be…. Gone.

    1.7K9912416503K viewsView on X
  • Aug 16, 20262.8x their median

    Honey moon phase đź‘° https://t.co/gERuzCfMik

    1.7K7638153K viewsView on X
  • Aug 6, 20261.7x their median

    You’re in detention and I’m your teacher. What’s your move? ❤️ https://t.co/xUcw5H9vt1

    1.0K3454244K viewsView on X
  • Aug 18, 20261.6x their median

    Send hugs .. 🤗 https://t.co/GX1YWcYpEw

    9423559028K viewsView on X
  • Aug 12, 20261.5x their median

    Gothed out mommy 🌶️ https://t.co/pMu90jXkck

    9442934035K viewsView on X
  • Aug 7, 2026

    Face card never declines https://t.co/fLOhPBgcFg

    8562236039K viewsView on X
  • Aug 19, 2026

    Session sends are hot, but what about the long-term dynamics where you wake up every morning, they buy you a coffee before they've had their own, talk rubbish nonsense all day, share memes, pay attention to what you actually want, cover the random snack you craved, mess around with the good stuff after work, then go to sleep? Rinse and repeat. Gimme

    572142642144K 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

#sarajay

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 652 interactions against 1.4M followers, an engagement rate of 0.048%. Measured over 22 original posts, its engagement rate beats 64% of 983 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 36K times each, and 1.81% of those impressions turn into an interaction. That is about 2.63% 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 roughly 50% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 27% link out. The account's strongest tracked post pulled 4.5K interactions, about 6.9x its own typical post.

What is Romi Chase's engagement rate on X?
Romi Chase (@romi_chase) has an engagement rate of 0.048%, based on the median interactions across 22 original posts from the last 30 days against 1,372,682 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.048%, Romi Chase sits above the 50th percentile of the 9,668 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 @romi_chase have real engagement?
Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (983 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 @romi_chase post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 1.53 posts per day across the measured window.

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