Back to @dingalingts's profile

dingaling engagement report

@dingalingts - 251K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Per follower
0.068%
of 251K followers
Per impression
0.769%
22K views on a typical post
Reach
8.83%
of its followers see a post
Typical post
171
interactions (median)
Saved
0.025%
6 bookmarks on a typical post
Posting rate
0.83/day
active 57% of days
Peak time
15:00 UTC
Wednesday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 171 interactions against 251K followers, an engagement rate of 0.068%. Posts are seen about 22K times each, and 0.769% of those impressions turn into an interaction. That is about 8.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 25% link out. The account's strongest tracked post pulled 300 interactions, about 1.8x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on September 26, 2026.

Where this sits in the catalog

At 0.068%, dingaling sits above the 25th percentile of the 213,186 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,186 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,400 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 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: 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: 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 video100% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 25% 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 135 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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 8, 20261.8x their median

    👀 slowly but surely https://t.co/v0Rr7gaHMX

    22412541066K viewsView on X
  • Jul 19, 20261.6x their median

    Already $17m in volume on @predictdotfun 2.5 hours ahead of the finals kicking off. Who do you have to win the cup?? https://t.co/onumdD1Wrd

    137209419426K viewsView on X
  • Aug 20, 2026

    There is currently only a 4% chance that $牛来 hits $1B market cap by November That's a 25x return if you buy Yes on @predictdotfun vs a 16x return if you buy the token itself 👀 https://t.co/38uxlVdAul

    142649236K viewsView on X
  • Aug 12, 2026

    Which token on BNB Chain will CZ buy? 👀 https://t.co/ucnzi8HmTi

    105871432K viewsView on X
  • Aug 5, 2026

    NEW MARKET! What tokens will CZ buy with his wallet? - $ MarsCoin 31% chance - $ 币有 18% chance - $ JACKET 7% chance https://t.co/U9ubPwSna4

    111650653K viewsView on X
  • Sep 2, 2026

    Quite insane to see how popular our 5 minute BTC up/downs have gotten over the last few weeks. - Blazingly fast orderbook - Deep liquidity - 25% Maker Rebate Try it out on @predictdotfun 🔮 https://t.co/6FYm9lNWJN

    119444424K viewsView on X
  • Aug 28, 2026

    上了新市场,事件发生的概率已出 孙哥赢 38% 孙哥输 20% 无争议民事判决 43% 吃🍉’ing https://t.co/TjPbh1eALv

    94274121K viewsView on X
  • Aug 13, 2026

    And we're live on the Dota2 International group stages! https://t.co/Me7QIQ1DpX

    91226121K viewsView on X
  • Aug 19, 2026

    now that is a candle

    88128112K viewsView on X
  • Aug 12, 2026

    If you're a Dota2 fan, @predictdotfun has the best UX and market liquidity for The International. Come and get your entries in asap before the first matches start tomorrow! https://t.co/92XYItcs9M

    82825219K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 171 interactions against 251K followers, an engagement rate of 0.068%. Posts are seen about 22K times each, and 0.769% of those impressions turn into an interaction. That is about 8.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 25% link out. The account's strongest tracked post pulled 300 interactions, about 1.8x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is dingaling's engagement rate on X?
dingaling (@dingalingts) has an engagement rate of 0.068%, based on the median interactions across 4 original posts from the last 30 days against 250,939 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.068%, dingaling sits above the 25th percentile of the 213,186 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 @dingalingts have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @dingalingts post?
Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 0.83 posts per day across the measured window.

Keep going