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chart data engagement report

@chartdata - 6.2M followers on X

Measured over 412 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.053%
of 6.2M followers
Per impression
2.87%
113K views on a typical post
Reach
1.83%
of its followers see a post
Typical post
3.3K
interactions (median)
Saved
0.057%
64 bookmarks on a typical post
Posting rate
13.77/day
active 103% of days
Peak time
19:00 UTC
Monday

A typical post picks up 3.3K interactions against 6.2M followers, an engagement rate of 0.053%. Measured over 412 original posts, its engagement rate beats 60% of 20,444 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 113K times each, and 2.87% of those impressions turn into an interaction. That is about 1.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 13.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 412 posts sampled, 63% carry an image or video. The account's strongest tracked post pulled 83K interactions, about 25x its own typical post. Recurring topics include #vmas, #grammys, #lisa.

Measured over 412 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #vmas, #grammys, #lisa.

Compared with accounts its own size

chart data's engagement rate beats 60% of the tracked X accounts closest to it in follower count (20,444 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 77% 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 0.053%, chart data sits above the 25th percentile of the 204,491 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 19:00 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.

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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video63% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 63% 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.
  • 0% 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 137 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 16, 202625x their median

    First pre-stage songs played at tonight’s Hayley Williams concert: Can’t Hold Us, Macklemore Mama Said, Lukas Graham For Cryin’ Out Loud, FINNEAS The Lane, Aaron Rowe Aurora II, Beoga Thrift Shop, Macklemore

    77K4.5K1315391.1M viewsView on X
  • Aug 25, 202620x their median

    Dolly Parton has passed away at age 80. https://t.co/QUn6eqJAQC

    55K7.1K8963.2K2.4M viewsView on X
  • Sep 28, 202620x their median

    #VMAs Best Group Winner: BTS https://t.co/glbZISdoBl

    46K18K670909531K viewsView on X
  • Sep 15, 202618x their median

    Macklemore & Ryan Lewis' 'The Heist' has re-entered the top 10 on US iTunes. https://t.co/j96L1BVscz

    54K4.2K1345691.0M viewsView on X
  • Sep 12, 202616x their median

    BTS’ 'ARIRANG' has now sold over 1 million pure copies in the US. It’s the first album released in 2026 to achieve this milestone. https://t.co/6oMNZavQTK

    35K15K275488879K viewsView on X
  • Oct 23, 202615x their median

    BTS' "SWIM" officially becomes the first song released in 2026 to surpass 1 billion streams on Spotify. https://t.co/zEmq14GQuQ

    35K13K259414387K viewsView on X
  • Sep 28, 202615x their median

    #VMAs Song of the Year Winner: SWIM by BTS https://t.co/iEHLAdhYxA

    34K14K470548475K viewsView on X
  • Sep 28, 202614x their median

    Most recent #VMAs Group of the Year Winners: 2019: BTS 2020: BTS 2021: BTS 2022: BTS 2023: BLACKPINK 2024: SEVENTEEN 2025: BLACKPINK 2026: BTS

    36K7.9K4731.2K936K viewsView on X
  • Sep 5, 202612x their median

    #LISA now holds the top 2 biggest music video debuts for a soloist in YouTube history: #1 LALISA 73.6M #2 SaWaDiKa 70.8M https://t.co/6i0sJYcyvU

    30K8.3K125317402K viewsView on X
  • Aug 17, 202612x their median

    #JIN's "Don't Say You Love Me" has now surpassed 1 billion streams on Spotify. https://t.co/U5Wd7xNDFe

    26K11K656499268K 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

#vmas#grammys#lisa#jennie#evan

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 3.3K interactions against 6.2M followers, an engagement rate of 0.053%. Measured over 412 original posts, its engagement rate beats 60% of 20,444 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 113K times each, and 2.87% of those impressions turn into an interaction. That is about 1.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 13.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 412 posts sampled, 63% carry an image or video. The account's strongest tracked post pulled 83K interactions, about 25x its own typical post. Recurring topics include #vmas, #grammys, #lisa.

What is chart data's engagement rate on X?
chart data (@chartdata) has an engagement rate of 0.053%, based on the median interactions across 412 original posts from the last 30 days against 6,172,510 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.053%, chart data sits above the 25th percentile of the 204,491 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 @chartdata have real engagement?
Its engagement rate beats 60% of the tracked X accounts closest to it in follower count (20,444 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 @chartdata post?
Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 13.77 posts per day across the measured window.

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