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Pat Sajak engagement report

@patsajak - 371K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 12, 2026.

Engagement

Per follower
4.63%
of 371K followers
Per impression
8.91%
193K views on a typical post
Reach
51.9%
of its followers see a post
Typical post
17K
interactions (median)
Saved
0.067%
130 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
14:00 UTC
Tuesday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 17K interactions against 371K followers, an engagement rate of 4.63%. Posts are seen about 193K times each, and 8.91% of those impressions turn into an interaction. That is about 52.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 103K interactions, about 6.0x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on September 12, 2026.

Where this sits in the catalog

At 4.63%, Pat Sajak sits above the 90th percentile of the 212,567 accounts in this comparison. That places it in the top 10% band, which runs 2.61% to 82.7%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 Tuesday 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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 205 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

  • Nov 12, 20246.0x their median

    CNN is apparently serious about cutting back. They just fired me, and I don’t even work for them.

    94K6.5K2.2K6563.7M viewsView on X
  • Oct 31, 20244.8x their median

    Noticed I was trending. Thought I had passed away. Turns out I’m fine.

    76K3.3K2.2K3992.8M viewsView on X
  • Mar 10, 20224.4x their median

    Note to lawmakers: If you push a giant boulder off a cliff where people live below, you can’t blame gravity for the result.

    64K10K726453View on X
  • Feb 11, 20223.9x their median

    Not to be morbid, but I just designed my tombstone. It’ll read: R _ P. I’d like to buy a vowel.

    60K4.5K1.3K563View on X
  • Jun 12, 20233.5x their median

    Well, the time has come. I’ve decided that our 41st season, which begins in September, will be my last. It’s been a wonderful ride, and I’ll have more to say in the coming months. Many thanks to you all. (If nothing else, it’ll keep the clickbait sites busy!)

    52K4.3K2.7K1.3K6.8M viewsView on X
  • Jun 7, 20243.3x their median

    Thank you all so very much.

    50K3.0K2.8K6693.8M viewsView on X
  • Jul 6, 20262.6x their median

    Now that I’ve been off TV for a while, I thought I could walk anonymously through a mall. It worked at first, but then someone yelled, “Hey, it’s Pat Sajak!” Then I was surrounded by people. “How are you?” “We miss you!” It was a bit of a circus. I’m almost sorry I yelled.

    42K1.8K1.3K164922K viewsView on X
  • Aug 25, 20261.8x their median

    When I was hired to join KNBC in Los Angeles, I was flown out from my home in Nashville. The coach section was overbooked, and I was fortunate to be moved to first class, where my seat mate turned out to be Dolly Parton. Sure was a nice flight. Rest in peace, Miss Dolly.

    30K1.1K9713287K viewsView on X
  • Feb 16, 20221.7x their median

    Well, it happened again this morning. I stepped out of the shower and caught my wife dressing me with her eyes.

    27K1.3K484171View on X
  • Feb 7, 20221.6x their median

    Its not that I’m a perfectionist, but the common mispellings and grammer mistakes your comitting is starting to where me down and make me loose my mind.

    23K1.3K2.5K384View 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 17K interactions against 371K followers, an engagement rate of 4.63%. Posts are seen about 193K times each, and 8.91% of those impressions turn into an interaction. That is about 52.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 103K interactions, about 6.0x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Pat Sajak's engagement rate on X?
Pat Sajak (@patsajak) has an engagement rate of 4.63%, based on the median interactions across 2 original posts from the last 30 days against 370,828 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 4.63%, Pat Sajak sits above the 90th percentile of the 212,567 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 @patsajak have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @patsajak post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.07 posts per day across the measured window.

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