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Dan Go engagement report

@CoachDanGo - 1.2M followers on X

Measured over 116 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.098%
of 1.2M followers
Per impression
1.79%
68K views on a typical post
Reach
5.48%
of its followers see a post
Typical post
1.2K
interactions (median)
Saved
0.243%
164 bookmarks on a typical post
Posting rate
7.37/day
active 103% of days
Peak time
10:00 UTC
Saturday

A typical post picks up 1.2K interactions against 1.2M followers, an engagement rate of 0.098%. Measured over 116 original posts, its engagement rate beats 71% 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 68K times each, and 1.79% of those impressions turn into an interaction. That is about 5.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Saturday is the busiest day of the week. Of the 116 posts sampled, 40% carry an image or video, 11% are part of a thread and 6% link out. The account's strongest tracked post pulled 59K interactions, about 49x its own typical post.

Measured over 116 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Dan Go's engagement rate beats 71% 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 64% 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 0.098%, Dan Go 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 10:00 UTC, and Saturday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video40% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 40% 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.
  • 6% 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 250 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 17, 202649x their median

    Scientists found that the creatine supplement millions take for muscle gains is quietly raising brain energy levels and slowing early Alzheimer's cognitive decline by 30%

    57K2.0K3362563.2M viewsView on X
  • Aug 27, 202638x their median

    One of the greatest cheat codes in life is to never get offended. Train yourself to have thick skin. Don't take things personally. Let others disagree with you. Being easily offended means you're easily manipulated. If you value peace of mind, avoid getting offended.

    39K6.7K284178746K viewsView on X
  • Sep 9, 202632x their median

    I regret to inform you that if you don't have enough energy to exercise, it means you're not exercising enough.

    37K1.7K201114507K viewsView on X
  • Sep 28, 202629x their median

    JUST IN: New study reveals creatine may increase muscle mass, strength, cognitive function, & endurance even without exercise.

    32K1.4K4533062.1M viewsView on X
  • Aug 24, 202619x their median

    I regret to inform you that lifting 3x a week, walking 30 minutes a day, eating real foods, drinking water, and getting enough sleep will make your mind and body healthier 95% of the population.

    22K1.1K8922411K viewsView on X
  • Sep 7, 202617x their median

    The cortisol spike from exercise suppresses the next cortisol response from a stressor. Exercise before stressful things. https://t.co/3GiAy2iguh

    18K2.0K100193923K viewsView on X
  • Sep 15, 202616x their median

    Playing Super Mario 64 for 30 minutes a day for two months physically grew the brains of the people who played it. A 2014 study in Molecular Psychiatry scanned participants before and after two months of daily play and found increases in grey matter in three regions involved in memory, planning, and fine motor control. The study was led by Simone Kuhn at the Max Planck Institute in Berlin. She gave 23 adults a Nintendo DS and told them to play Super Mario 64 for at least 30 minutes a day for two months. A control group played nothing. MRI scans taken before and after showed that the Mario group had measurable increases in grey matter in the right hippocampus, the right prefrontal cortex, and the cerebellum, and the increases were not found in the control group. The hippocampus is where the brain stores spatial maps. Super Mario 64 is a game built entirely around navigating three-dimensional space, jumping between platforms, remembering which doors lead where, and building a mental model of a world that does not exist. The brain treats a virtual world the same way it treats a real one: it maps it, stores it, and grows to accommodate it. The prefrontal cortex handles planning and strategy, which the game demands constantly. The cerebellum handles timing and coordination, which every jump requires. The brain was not just entertained. It was being trained, and the tissue responded the same way muscle responds to a weight: it got bigger. Kuhn said the results suggest that video game training could be used as a therapy for conditions where these brain regions are reduced, including post-traumatic stress disorder, schizophrenia, and age-related brain shrinkage. The prescription is a plumber in a red hat, 30 minutes a day. https://t.co/8hKZMvh8VN

    16K2.1K2084042.2M viewsView on X
  • Sep 9, 202611x their median

    Apple just killed whoop.

    13K226347842.9M viewsView on X
  • Sep 1, 202611x their median

    I regret to inform you that when you lift weights, eat healthy foods, prioritize sleep, upgrade your wardrobe, and take care of your appearance, people will treat you 10x better.

    12K88010320213K viewsView on X
  • Sep 26, 202611x their median

    Getting lean becomes easier when you realize potatoes are better than rice in every way.

    12K351237691.9M 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.

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Reading these numbers

A typical post picks up 1.2K interactions against 1.2M followers, an engagement rate of 0.098%. Measured over 116 original posts, its engagement rate beats 71% 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 68K times each, and 1.79% of those impressions turn into an interaction. That is about 5.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 10:00 UTC, and Saturday is the busiest day of the week. Of the 116 posts sampled, 40% carry an image or video, 11% are part of a thread and 6% link out. The account's strongest tracked post pulled 59K interactions, about 49x its own typical post.

What is Dan Go's engagement rate on X?
Dan Go (@CoachDanGo) has an engagement rate of 0.098%, based on the median interactions across 116 original posts from the last 30 days against 1,235,927 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.098%, Dan Go 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 @CoachDanGo have real engagement?
Its engagement rate beats 71% 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 @CoachDanGo post?
Most posts go out around 10:00 UTC, and Saturday is its busiest day, at roughly 7.37 posts per day across the measured window.

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