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LULABLUE💜น้อนบลู🥺 engagement report

@Lulablue99 - 55K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Middle of its size range
Per follower
0.107%
of 55K followers
Per impression
0.469%
12K views on a typical post
Reach
22.7%
of its followers see a post
Typical post
58
interactions (median)
Saved
0.008%
1 bookmarks on a typical post
Posting rate
1.17/day
active 63% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 58 interactions against 55K followers, an engagement rate of 0.107%. Measured over 10 original posts, its engagement rate beats 46% of 21,625 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 12K times each, and 0.469% of those impressions turn into an interaction. That is about 22.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 10 posts sampled, 30% carry an image or video, 10% are part of a thread and 10% link out. The account's strongest tracked post pulled 470 interactions, about 8.1x its own typical post. Recurring topics include #นัดเย็ดกทม, #นัดเย็ดภูเก็ต, #นัดเย็ด.

Measured over 10 original posts from a 30-day window, last computed on October 13, 2026. Recurring tags: #นัดเย็ดกทม, #นัดเย็ดภูเก็ต, #นัดเย็ด.

Compared with accounts its own size

LULABLUE💜น้อนบลู🥺's engagement rate beats 46% of the tracked X accounts closest to it in follower count (21,625 accounts, accounts of similar size (decile 5 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 19% 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 0.107%, LULABLUE💜น้อนบลู🥺 sits above the 25th percentile of the 218,501 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,501 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,721 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 percentile0.004%
25th percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video30% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 30% 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.
  • 10% 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 59 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 10, 20268.1x their median

    5p again in Taiwan 🇹🇼 💦 get fuck you all 🫣 @napaphat6969 #西門町 #台北三性 #約會 #口爆 #長腿 https://t.co/BNqxXSA4y4

    412571021K viewsView on X
  • Aug 30, 20263.5x their median

    ผอมลงขนาดนี้ ยังไม่มาเย็ดอีกหรอ🫠 https://t.co/wpHuNADfAL

    19293017K viewsView on X
  • Sep 23, 20263.4x their median

    คลิปนี้ตูดใหญ่จัง😂💦 #กทม #นัดเย็ด https://t.co/LKN5CG0Ueo https://t.co/34JyO4WZ2i

    179200015K viewsView on X
  • Sep 18, 20262.2x their median

    ก่อนนัดอยากพูดเรื่องนี้ ทุกคนตัดสินหมดแล้ว ว่าทำ Twitter/X เวลานัดถ่ายตลอด ต้องเอาไปลง บอกตรงนี้เลยว่าถ้านัดปกติไม่เคยลง หรือไม่เคยเอาคลิปใครไปปล่อยหากิน ทุกคนมีอนาคตต้องเติบโต ถ้าคนที่ไม่ได้ทำแบบเรา ไม่เอาเค้ามาลงหากิน 1000% ค่ะ เลิกตัดสินเพียงเพราะเค้าทำ จบ ดูได้เลย เช็ค! https://t.co/iVAYJoI4a8

    109133019K viewsView on X
  • Oct 6, 2026

    #นัดเย็ดกทม

    753209.8K viewsView on X
  • Aug 29, 2026

    #ห้วยขว้าง #รัชดา ทักฮะ

    6424017K viewsView on X
  • Sep 26, 2026

    มาหาหน่อย😮‍💨 #นัดเย็ด

    6323013K viewsView on X
  • Sep 17, 2026

    #นัดเย็ดสมุทรปราการ #สำโรง ทักมางับ

    6014014K viewsView on X
  • Oct 10, 2026

    #ภูเก็ต #นัดเย็ดภูเก็ต

    452307.1K viewsView on X
  • Aug 19, 2026

    ไอจีปลิวหมดทุกแอ้คเลย จะให้มีอารมณ์ทำไรได้ล่ะ🫠

    4220022K 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

#นัดเย็ดกทม#นัดเย็ดภูเก็ต#นัดเย็ด#ภูเก็ต#ป่าตอง

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 58 interactions against 55K followers, an engagement rate of 0.107%. Measured over 10 original posts, its engagement rate beats 46% of 21,625 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 12K times each, and 0.469% of those impressions turn into an interaction. That is about 22.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 10 posts sampled, 30% carry an image or video, 10% are part of a thread and 10% link out. The account's strongest tracked post pulled 470 interactions, about 8.1x its own typical post. Recurring topics include #นัดเย็ดกทม, #นัดเย็ดภูเก็ต, #นัดเย็ด.

What is LULABLUE💜น้อนบลู🥺's engagement rate on X?
LULABLUE💜น้อนบลู🥺 (@Lulablue99) has an engagement rate of 0.107%, based on the median interactions across 10 original posts from the last 30 days against 54,501 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.107%, LULABLUE💜น้อนบลู🥺 sits above the 25th percentile of the 218,501 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 @Lulablue99 have real engagement?
Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (21,625 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 @Lulablue99 post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 1.17 posts per day across the measured window.

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