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Rich Eisen engagement report

@richeisen - 1.5M followers on X

Measured over 24 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.006%
of 1.5M followers
Per impression
0.211%
39K views on a typical post
Reach
2.67%
of its followers see a post
Typical post
82
interactions (median)
Saved
0.018%
7 bookmarks on a typical post
Posting rate
1.8/day
active 63% of days
Peak time
16:00 UTC
Monday

A typical post picks up 82 interactions against 1.5M followers, an engagement rate of 0.006%. Measured over 24 original posts, its engagement rate beats 37% of 3,862 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 39K times each, and 0.211% of those impressions turn into an interaction. That is about 2.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 24 posts sampled, 88% carry an image or video and 17% link out. The account's strongest tracked post pulled 106K interactions, about 1296x its own typical post. Recurring topics include #nfl, #raidernation, #skol.

Measured over 24 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #nfl, #raidernation, #skol.

Compared with accounts its own size

Rich Eisen's engagement rate beats 37% of the tracked X accounts closest to it in follower count (3,862 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 20% 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 0.006%, Rich Eisen sits above the 10th percentile of the 37,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 18, 20261296x their median

    The dolphins that were in ‘THE ODYSSEY’ just happened to appear on accident & were filmed anyway. https://t.co/GbGu4CVYhc

    101K4.3K4415188.2M viewsView on X
  • Dec 17, 2019389x their median

    To close out today's show, @richeisen addressed the passing of his father Joel and, in his loving memory, made a request of us all: https://t.co/qcDDeR4ysh

    25K4.2K1.8K1.3KView on X
  • Jul 18, 2026309x their median

    This is one of my favorite videos of all time. As a child psychologist, it’s a perfect example of joint attention, preverbal communication, and coregulation.❤️ https://t.co/zG2TLtlMFS

    23K1.9K339168875K viewsView on X
  • Aug 3, 202663x their median

    "The fact that Skubal's going to stay put in Los Angeles and be another $400 million log on their multibillion-dollar salary fire is why everybody thinks the house is on fire for baseball." @richeisen breaks down why MLB’s system is "on fire" on @RichEisenShow ⬇️ https://t.co/xxNdsSnLSn

    4.7K263174191.3M viewsView on X
  • Jul 27, 202629x their median

    Michigan men's basketball players Trey McKenney and Elliot Cadeau share their reactions to their former head coach Dusty May leaving for the NBA on the @RichEisenShow 👀 "Our main focus was to keep the team together." https://t.co/qxAO0y3yjj

    2.2K12648101.1M viewsView on X
  • Jul 16, 202629x their median

    LeBron James just played with the crowd a bit as to his decision. “I hear the Warriors … I hear the Sixers.” He also referenced the Rich Eisen Show segment where co-host Chris Brockman suggested the Heat would be a play-in team if he went there and James would be a non-factor.

    2.1K13263121850K viewsView on X
  • Aug 25, 202617x their median

    💻 @ChaseDaniel What does the game tape say about Deshaun Watson, who was named #DawgPound starting QB on Monday? #NFL https://t.co/4AN0aYuzqI

    1.3K77647114K viewsView on X
  • Jul 27, 202615x their median

    Michigan's men's basketball HC Michael Boynton explains to @richeisen how the team was able to build chemistry that ended with a national championship season 🏆 (via @RichEisenShow) https://t.co/zuDSlSdowK

    1.1K86561926K viewsView on X
  • Jul 27, 202610x their median

    "It's got to be an NFL minor league model, where we have a salary cap, players are employees." @UMFBCoachWhitt told us how he'd fix College Football from the jump: #GoBlue @UMichFootball @richeisen https://t.co/ESTzB2fMMG

    750504313284K viewsView on X
  • Aug 21, 20269.8x their median

    A new day, a new Joe Burrow soundbite for the national media to chew on — is the #WhoDey franchise QB trying to tell us something? #NFL https://t.co/Pez0JP9NzS

    683622334154K 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

#nfl#raidernation#skol#nflpreseason#ramshouse

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 82 interactions against 1.5M followers, an engagement rate of 0.006%. Measured over 24 original posts, its engagement rate beats 37% of 3,862 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 39K times each, and 0.211% of those impressions turn into an interaction. That is about 2.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 24 posts sampled, 88% carry an image or video and 17% link out. The account's strongest tracked post pulled 106K interactions, about 1296x its own typical post. Recurring topics include #nfl, #raidernation, #skol.

What is Rich Eisen's engagement rate on X?
Rich Eisen (@richeisen) has an engagement rate of 0.006%, based on the median interactions across 24 original posts from the last 30 days against 1,464,970 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Rich Eisen sits above the 10th percentile of the 37,582 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 @richeisen have real engagement?
Its engagement rate beats 37% of the tracked X accounts closest to it in follower count (3,862 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 @richeisen post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 1.8 posts per day across the measured window.

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