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Dan Dakich engagement report

@dandakich - 175K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 19, 2026.

Engagement

Middle of its size range
Per follower
0.04%
of 175K followers
Per impression
0.578%
12K views on a typical post
Reach
6.87%
of its followers see a post
Typical post
70
interactions (median)
Saved
0.008%
1 bookmarks on a typical post
Posting rate
1.57/day
active 20% of days
Peak time
20:00 UTC
Sunday

A typical post picks up 70 interactions against 175K followers, an engagement rate of 0.04%. Measured over 18 original posts, its engagement rate beats 43% 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 12K times each, and 0.578% of those impressions turn into an interaction. That is about 6.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 18 posts sampled, 50% carry an image or video and 17% link out. The account's strongest tracked post pulled 2.8K interactions, about 41x its own typical post. Recurring topics include #colts, #colture, #dei.

Measured over 18 original posts from a 30-day window, last computed on October 19, 2026. Recurring tags: #colts, #colture, #dei.

Compared with accounts its own size

Dan Dakich's engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 29% 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 0.04%, Dan Dakich sits above the 25th percentile of the 204,694 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 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 20:00 UTC, and Sunday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 link17% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 17% 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 125 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 18, 202641x their median

    Our colleagues at @CNN @MSNOWNews and @politico are thorough professionals doing an excellent job of covering the White House. Proud of their courage and commitment to independent journalism in the face of intimidation and punishment.

    2.1K31038649264K viewsView on X
  • Sep 18, 202635x their median

    Chris Fowler defends Holly Rowe, demands apology from reporters who laughed about AI video https://t.co/MhTcCn7ElT

    2.0K11027723166K viewsView on X
  • Sep 18, 202623x their median

    And now let’s watch this random guy cheat death at Riverfront Stadium with the Braves’ Skip Caray and Pete Van Wieren on the call. https://t.co/M7FZVJscTE

    1.4K1086015145K viewsView on X
  • Sep 18, 202619x their median

    Media execs must band together NOW to figure out what the hell they are going to do to save our democracy. This isn't some temporary action by Trump to get rid of @CNN @MSNOWNews @politico. Remember: @AP is still banned from the WH. He will end it for all who don't agree w/ him.

    9321821942135K viewsView on X
  • Sep 18, 202618x their median

    THE FASTEST PRICE TURNAROUND IN YEARS Will Cain just dropped the receipts. Same window. Year two. Jan–July. Biden vs Trump 2.0 on prices: Overall inflation: 12.3% vs 4.3% Groceries: 15.8% vs 3.3% Gas: 69% vs 12% Rent: 7.7% vs 4.5% Electricity: 19.1% vs 8.4% Cars: +23.9% vs -1.2% Median household income: record high. Official poverty rate: record low. Policy change. Immediate effect. Not magic. #AmericaFirst #Inflation #Trump2026 #Economy #MakeAmericaAffordableAgain #FoxNews #WillCain #PricesMatter #CensusData #Midterms2026

    780446253422K viewsView on X
  • Oct 18, 20267.1x their median

    Shane Steichen’s opening statement: https://t.co/XtzaujHl0d

    2631215664108K viewsView on X
  • Sep 17, 20266.8x their median

    What does Sarkisian have to apologize for? Is there now a time requirement for coaches to spend answering inane questions from women immediately after a tough game? I remember looking out at reporters after a tough loss to Minnesota thinking if I explained to these crumb stained fools what actually happened in that game they would never understand it Multiple that by 100 with Holly Rowe

    4053041116K viewsView on X
  • Sep 16, 20265.5x their median

    #Colts Shane Steichen told me their loss to the #Ravens was a “wake up call.” His team will channel that motivation on Sunday vs. Chiefs. @WISHNews8 | @wrtv https://t.co/jI5JuhnA7B

    1451314581249K viewsView on X
  • Oct 18, 20264.2x their median

    Former Indiana star and Indiana Mr. Basketball from North Central Eric Gordon gets a big hand from the crowd. #iubb https://t.co/HvCnMM97NS

    28392114K viewsView on X
  • Sep 17, 20263.5x their median

    As we get ready for another @Colts Football Weekend a few stats - The “best player in the fucking draft” as described by Chris Ballard, Latte Latte had 0.5 sack - the “can’t believe they took Loveland” “playmaker supreme” as described by Chris Ballard Tyler Warren had 3 catches for 13 yards - the “I would have taken him 1st in the draft” as described by Chris Ballard, Anthony Richardson did not play Now, @HolderStephen, @zkeefer, @GreggDoyelStar, @mchappell51 and assorted @IndyStarSports tell me about “those great drafts” Ballard has had!!! Ps.. “those great drafts” are currently on an 8 game losing streak

    1991328422K 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

#colts#colture#dei#iubb#iufb

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 70 interactions against 175K followers, an engagement rate of 0.04%. Measured over 18 original posts, its engagement rate beats 43% 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 12K times each, and 0.578% of those impressions turn into an interaction. That is about 6.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 18 posts sampled, 50% carry an image or video and 17% link out. The account's strongest tracked post pulled 2.8K interactions, about 41x its own typical post. Recurring topics include #colts, #colture, #dei.

What is Dan Dakich's engagement rate on X?
Dan Dakich (@dandakich) has an engagement rate of 0.04%, based on the median interactions across 18 original posts from the last 30 days against 174,807 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.04%, Dan Dakich sits above the 25th percentile of the 204,694 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 @dandakich have real engagement?
Its engagement rate beats 43% 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 @dandakich post?
Most posts go out around 20:00 UTC, and Sunday is its busiest day, at roughly 1.57 posts per day across the measured window.

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