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DataDash engagement report

@datadashpro - 105K followers on X

Measured over 12 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Bottom quarter for its size
Per follower
0.007%
of 105K followers
Per impression
0.187%
3.7K views on a typical post
Reach
3.54%
of its followers see a post
Typical post
7
interactions (median)
Saved
0.013%
0 bookmarks on a typical post
Posting rate
0.67/day
active 30% of days
Peak time
14:00 UTC
Friday

A typical post picks up 7 interactions against 105K followers, an engagement rate of 0.007%. Measured over 12 original posts, its engagement rate beats 14% of 20,444 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 3.7K times each, and 0.187% of those impressions turn into an interaction. That is about 3.54% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 12 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 669 interactions, about 96x its own typical post. Recurring topics include #bitcoin, #altcoins, #btc.

Measured over 12 original posts from a 30-day window, last computed on October 13, 2026. Recurring tags: #bitcoin, #altcoins, #btc.

Compared with accounts its own size

DataDash's engagement rate beats 14% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 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 10% 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 0.007%, DataDash sits above the 10th percentile of the 205,152 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 14:00 UTC, and Friday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video50% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 50% 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.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 336 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Jun 29, 202696x their median

    bitcoin:native Nice weekly bullish SFP here on Bitcoin, holding the lows for now. Looking like some relief is coming, if we clear $63.2k I could see this bounce towards the $70,000s. Ultimately I think this ends in a lower high before new lows as I don't believe the bottom is in yet.

    5812363265K viewsView on X
  • Jun 21, 202674x their median

    Hi - We are Rain Trade. We’re a prediction market platform, but without the boring corporate training wheels. We take public opinion, internet debates, and real-world chaos and turn them into actual, tradeable odds. Built on top of the @Rain__Protocol, our platform showcases exactly what it's capable of: seamless, end-to-end prediction markets with zero limitations. Unlike other platforms that force you into their pre-made boxes, we don’t put a leash on your imagination. Our vibe is simple: Any Possible Outcome. Want to start a market on a bizarre hyper-local conspiracy or a niche debate? In any language? Go for it. If you can think it up, you can list it. Early access is officially open ahead of our full launch. Stop watching from the sidelines and grab your spot now. Let’s trade: https://t.co/xQXzsx4OuI

    195492512298K viewsView on X
  • Jun 11, 202672x their median

    🚨HUGE: SpaceX’s IPO pulled in $70 BILLION in retail orders alone, more than DOUBLE Saudi Aramco’s record $29.4 BILLION IPO. https://t.co/DMA32i5XH9

    37947661145K viewsView on X
  • Aug 17, 202642x their median

    Someone tell me why I shouldn’t sell all my $MSTR for $HOOD at $96 https://t.co/cDDbZT3aRp

    1664117545K viewsView on X
  • May 27, 202625x their median

    If BTC dropped to $50K tomorrow, would you average down or wait for $40K? And how much of the bag is already deployed?

    93476121K viewsView on X
  • Jun 28, 20268.0x their median

    See you in 1 hour. ⏰ @Tradermayne, @buyerofponzi, @datadashpro. The Crypto Closeout. YouTube. 7PM ET. ⤵️ https://t.co/XuFsIwMGAU https://t.co/HFtNsJNvMD

    4338219K viewsView on X
  • Sep 30, 20265.4x their median

    🚨 BITCOIN QUARTERLY CLOSE We’re just hours away from Bitcoin potentially confirming another 3 month bullish engulfing candle. Take a look at what happened after the previous examples highlighted on this chart. On these high timeframes, bullish engulfing candles have historically been followed by significant further upside for bitcoin:native . Will history rhyme again? 👀 The quarterly close matters.

    296124.2K viewsView on X
  • Jul 14, 20264.1x their median

    bitcoin:native on its way to major target at $66,370 https://t.co/t6xzmqNAlX

    243116.5K viewsView on X
  • Jun 9, 20263.9x their median

    Why I think there’s massive opportunity with bitcoin right now and why I think we are forming a higher low. https://t.co/N5BifP9o47

    222124.8K viewsView on X
  • Sep 25, 20262.9x their median

    🦈 BITCOIN BULLISH SHARK UPDATE DataDash analyst Paul Sampson has been tracking a Bullish Shark setup on Bitcoin, with the first major upside target sitting around $93,000. BTC has already made a strong move off the lows, and now the focus shifts to the support zone below. 📊 The $79.3K–$82.8K region remains an important area to watch. If buyers continue defending this zone, it could provide the support Bitcoin needs for another push higher toward the $93K Shark target. Pullbacks are part of the process. The key is whether support continues to hold. bitcoin:native #Bitcoin #crypto #altcoins

    163103.6K 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

#bitcoin#altcoins#btc#crypto#xrp

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 7 interactions against 105K followers, an engagement rate of 0.007%. Measured over 12 original posts, its engagement rate beats 14% of 20,444 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 3.7K times each, and 0.187% of those impressions turn into an interaction. That is about 3.54% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 12 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 669 interactions, about 96x its own typical post. Recurring topics include #bitcoin, #altcoins, #btc.

What is DataDash's engagement rate on X?
DataDash (@datadashpro) has an engagement rate of 0.007%, based on the median interactions across 12 original posts from the last 30 days against 105,355 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, DataDash sits above the 10th percentile of the 205,152 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 @datadashpro have real engagement?
Its engagement rate beats 14% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter 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 @datadashpro post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.67 posts per day across the measured window.

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