ใกใใใ๐ซใขใใก็ซ้ engagement report
@ngnchiikawa - 5.8M followers on X
Measured over 11 original posts from a 30-day window, last computed on October 22, 2026.
Engagement
A typical post picks up 644K interactions against 5.8M followers, an engagement rate of 11.0%. Measured over 11 original posts, its engagement rate beats 100% of 19,675 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 23M times each, and 2.75% of those impressions turn into an interaction. That is about 401.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 100% carry an image or video and 9% link out. The account's strongest tracked post pulled 997K interactions, about 1.6x its own typical post. Recurring topics include #ๆ ็ปใกใใใ, #ใกใใใ, #ใขใใกใกใใใ.
Measured over 11 original posts from a 30-day window, last computed on October 22, 2026. Recurring tags: #ๆ ็ปใกใใใ, #ใกใใใ, #ใขใใกใกใใใ.
Compared with accounts its own size
ใกใใใ๐ซใขใใก็ซ้'s engagement rate beats 100% of the tracked X accounts closest to it in follower count (19,675 accounts, accounts of similar size (decile 10 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 76% 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 11.0%, ใกใใใ๐ซใขใใก็ซ้ sits above the 90th percentile of the 196,795 accounts in this comparison. That places it in the top 10% band, which runs 2.51% to 82.5%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.139% |
| 75th percentile | 0.661% |
| 90th percentile | 2.51% |
| 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 10:00 UTC, and Monday 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 | 9% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -8% | -9% to -7% | 41K |
- 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.
- 9% 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 33 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
- Oct 5, 20261.6x their median
๐บ https://t.co/4Rmrmm3oyp
- Oct 12, 2026
๐ซ https://t.co/iyl8l6VnzQ
- Oct 15, 2026
๐ https://t.co/zkDN3kXxus
- Oct 2, 2026
๐บ https://t.co/7dWMqBlb6m
- Sep 16, 2026
โญ๏ธ https://t.co/YH0oUZpExu
- Sep 6, 2026
๐ซ https://t.co/xTiDRMtDJ2
- Sep 19, 2026
โญ๏ธ https://t.co/PGwo41CeYz
- Sep 23, 2026
โญ๏ธ https://t.co/qIn8fg7Hj0
- Sep 22, 2026
๐ https://t.co/tGxrEbd2bb
- Oct 20, 2026
๐ https://t.co/l4rPAezVUO
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
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 644K interactions against 5.8M followers, an engagement rate of 11.0%. Measured over 11 original posts, its engagement rate beats 100% of 19,675 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 23M times each, and 2.75% of those impressions turn into an interaction. That is about 401.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 100% carry an image or video and 9% link out. The account's strongest tracked post pulled 997K interactions, about 1.6x its own typical post. Recurring topics include #ๆ ็ปใกใใใ, #ใกใใใ, #ใขใใกใกใใใ.
- What is ใกใใใ๐ซใขใใก็ซ้'s engagement rate on X?
- ใกใใใ๐ซใขใใก็ซ้ (@ngnchiikawa) has an engagement rate of 11.0%, based on the median interactions across 11 original posts from the last 30 days against 5,839,742 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 11.0%, ใกใใใ๐ซใขใใก็ซ้ sits above the 90th percentile of the 196,795 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 @ngnchiikawa have real engagement?
- Its engagement rate beats 100% of the tracked X accounts closest to it in follower count (19,675 accounts), which puts it in the top 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 @ngnchiikawa post?
- Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 1.87 posts per day across the measured window.