ღ ℒυvᥲbᥣᥱ engagement report
@so_luvable - 175K followers on X
Measured over 13 original posts from a 30-day window, last computed on September 19, 2026.
Engagement
A typical post picks up 3 interactions against 175K followers, an engagement rate of 0.002%. Measured over 13 original posts, its engagement rate beats 8% of 15,519 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 1.6K times each, and 0.19% of those impressions turn into an interaction. That is about 0.904% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 15% carry an image or video and 15% link out. The account's strongest tracked post pulled 9 interactions, about 3.0x its own typical post.
Measured over 13 original posts from a 30-day window, last computed on September 19, 2026.
Compared with accounts its own size
ღ ℒυvᥲbᥣᥱ's engagement rate beats 8% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 8 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 12% 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 0.002%, ღ ℒυvᥲbᥣᥱ sits below the 10th percentile of the 157,102 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 04:00 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 | 15% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 15% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -8% | -9% to -7% | 41K |
- 15% 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.
- 15% 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 54 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 9, 20263.0x their median
𝕋𝕙𝕖𝕪 𝔸𝕝𝕨𝕒𝕪𝕤 𝕋𝕣𝕪 𝕋𝕠 ℂ𝕠𝕞𝕖 𝔹𝕒𝕔𝕜, . .
- Jul 30, 20262.3x their median
ℕ𝕠 𝕎𝕠𝕣𝕣𝕪’𝕤, . . . . https://t.co/CsMcavtayl
- Sep 9, 20261.7x their median
ℝ𝕠𝕔𝕜 𝕋𝕙𝕒 𝔹𝕠𝕒𝕥 𝕎𝕠𝕣𝕜 𝕋𝕙𝕖 𝕄𝕚𝕕𝕕𝕝𝕖 🍑
- Sep 11, 2026
𝕀 𝔹𝕖 𝕎𝕒𝕟𝕥𝕚𝕟𝕘 𝕋𝕠 𝔸𝕔𝕥 𝕄𝕪𝕤𝕥𝕖𝕣𝕚𝕠𝕦𝕤 𝔹𝕦𝕥, . . .𝕌𝕟𝕗𝕠𝕣𝕥𝕦𝕟𝕒𝕥𝕖𝕝𝕪 𝕀'𝕞 ℍ𝕚𝕝𝕒𝕣𝕚𝕠𝕦𝕤 & ℍ𝕒𝕧𝕖 𝕋𝕙𝕚𝕟𝕘𝕤 𝕋𝕠 𝕊𝕒𝕪.
- Sep 9, 2026
𝕀 ℂ𝕒𝕟’𝕥 𝔻𝕖𝕒𝕝 𝕎𝕚𝕥𝕙 𝕐𝕠𝕦 𝕀𝕗 𝔼𝕧𝕖𝕣𝕪𝕕𝕒𝕪 𝕐𝕠𝕦 ℍ𝕒𝕧𝕚𝕟𝕘 𝔸 𝔹𝕒𝕕 𝔻𝕒𝕪!
- Sep 9, 2026
𝕋𝕙𝕖𝕪 𝔾𝕖𝕥 𝕄𝕒𝕕 𝕎𝕙𝕖𝕟 𝕐𝕠𝕦 𝔾𝕖𝕥𝕥𝕚𝕟’ 𝕄𝕠𝕣𝕖 𝔸𝕥𝕥𝕖𝕟𝕥𝕚𝕠𝕟 , . . . 𝔸𝕟𝕕 𝕐𝕠𝕦 𝕁𝕦𝕤𝕥 ℂ𝕙𝕚𝕝𝕝𝕚𝕟’
- Sep 9, 2026
𝔻𝕖𝕖𝕡 𝕀𝕟 𝕋𝕙𝕖 𝕎𝕒𝕥𝕖𝕣, . . . 𝕀𝕥’𝕤 𝕁𝕦𝕤𝕥 𝕐𝕆𝕌 & 𝕄𝕖 https://t.co/WrBuy8cgsq
- Sep 17, 2026
𝕎𝕙𝕖𝕟 𝕐𝕠𝕦 𝔽𝕒𝕝𝕝 𝔹𝕒𝕔𝕜, . . . 𝕐𝕠𝕦 𝔾𝕖𝕥 𝔸 𝔹𝕖𝕥𝕥𝕖𝕣 𝕍𝕚𝕖𝕨
- Sep 9, 2026
𝕋𝕙𝕖𝕪 𝕎𝕒𝕟𝕥 𝕋𝕠 ℙ𝕝𝕒𝕪 𝔾𝕒𝕞𝕖𝕤, . . . 𝔹𝕦𝕥 𝔾𝕖𝕥 𝕄𝕒𝕕 𝕎𝕙𝕖𝕟 𝕐𝕠𝕦 ℙ𝕝𝕒𝕪 𝔹𝕒𝕔𝕜
- Sep 9, 2026
𝕎𝕙𝕖𝕟 𝕊𝕠𝕞𝕖𝕠𝕟𝕖’𝕤 𝕀𝕤 𝔾𝕚𝕧𝕚𝕟𝕘 𝕐𝕠𝕦 𝔸𝕥𝕥𝕖𝕟𝕥𝕚𝕠𝕟, . . . 𝕋𝕙𝕖𝕟 𝕋𝕙𝕖𝕪 𝕎𝕒𝕟𝕥 𝕋𝕠 𝕊𝕥𝕒𝕣𝕥 𝔸𝕔𝕥𝕚𝕟𝕘 𝕃𝕚𝕜𝕖 𝕋𝕙𝕖𝕪 ℂ𝕒𝕣𝕖 𝔸𝕘𝕒𝕚𝕟!
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 3 interactions against 175K followers, an engagement rate of 0.002%. Measured over 13 original posts, its engagement rate beats 8% of 15,519 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 1.6K times each, and 0.19% of those impressions turn into an interaction. That is about 0.904% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 15% carry an image or video and 15% link out. The account's strongest tracked post pulled 9 interactions, about 3.0x its own typical post.
- What is ღ ℒυvᥲbᥣᥱ's engagement rate on X?
- ღ ℒυvᥲbᥣᥱ (@so_luvable) has an engagement rate of 0.002%, based on the median interactions across 13 original posts from the last 30 days against 175,070 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, ღ ℒυvᥲbᥣᥱ sits below the 10th percentile of the 157,102 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 @so_luvable have real engagement?
- Its engagement rate beats 8% of the tracked X accounts closest to it in follower count (15,519 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 @so_luvable post?
- Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 1.1 posts per day across the measured window.