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Taylor McGregor engagement report

@Taylor_McGregor - 86K followers on X

Measured over 15 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Top 10% for its size
Per follower
1.49%
of 86K followers
Per impression
3.07%
42K views on a typical post
Reach
48.4%
of its followers see a post
Typical post
1.3K
interactions (median)
Saved
0.024%
10 bookmarks on a typical post
Posting rate
1.17/day
active 50% of days
Peak time
02:00 UTC
Tuesday

A typical post picks up 1.3K interactions against 86K followers, an engagement rate of 1.49%. Measured over 15 original posts, its engagement rate beats 92% of 20,183 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 42K times each, and 3.07% of those impressions turn into an interaction. That is about 48.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 27% carry an image or video. The account's strongest tracked post pulled 8.2K interactions, about 6.4x its own typical post. Recurring topics include #cubs, #collegefootball.

Measured over 15 original posts from a 30-day window, last computed on October 8, 2026. Recurring tags: #cubs, #collegefootball.

Compared with accounts its own size

Taylor McGregor's engagement rate beats 92% of the tracked X accounts closest to it in follower count (20,183 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 73% 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 1.49%, Taylor McGregor sits above the 75th percentile of the 202,076 accounts in this comparison. That places it in the top 25% band, which runs 0.672% to 2.54%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,076 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,928 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video27% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 27% 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 102 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

  • Aug 19, 20266.4x their median

    “How did you stay ready during the 1 hour and 30 minute rain delay?” “Honestly just went inside and had some pizza and a Dr. Pepper.” 🤣🤣🤣 #Cubs https://t.co/hgQVaB7fni

    7.6K4046863255K viewsView on X
  • Sep 1, 20263.7x their median

    #Cubs Justin Steele will begin his rehab assignment with the Iowa Cubs on Wednesday.

    4.4K2485975198K viewsView on X
  • Sep 24, 20263.7x their median

    #Cubs win. They’re headed to the postseason in back-to-back seasons.

    4.4K165123883K viewsView on X
  • Aug 18, 20263.0x their median

    Pete Crow-Armstrong walks it off with his second homer of the night. #Cubs win. https://t.co/L0lEjhmZKx

    3.5K21021875K viewsView on X
  • Aug 24, 20262.5x their median

    #Cubs Justin Steele is in the clubhouse here in Arizona. He has another live bullpen tomorrow. After that, he’s hopeful, he will have 1 more live BP before he begins his rehab assignments.

    3.0K975538142K viewsView on X
  • Aug 22, 20262.3x their median

    Pete Crow-Armstrong just hit another lead-off homer lol. #Cubs https://t.co/sQrZCq22hO

    2.8K7527876K viewsView on X
  • Aug 14, 20262.3x their median

    Edward Cabrera will come off the IL and start Sunday for the #Cubs.

    2.7K1144536123K viewsView on X
  • Aug 5, 20262.2x their median

    #Cubs win. They sweep the Dodgers. What a series!

    2.7K8931231K viewsView on X
  • Aug 29, 20262.1x their median

    #Cubs Pete Crow-Armstrong is the youngest Cub since 1901 to have a 3HR game.

    2.5K155201043K viewsView on X
  • Aug 29, 20261.9x their median

    #Cubs Pete Crow-Armstrong after his 3HR day and his desire to get 4: https://t.co/m9n603jncr

    2.3K137221052K 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

#cubs#collegefootball

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 1.3K interactions against 86K followers, an engagement rate of 1.49%. Measured over 15 original posts, its engagement rate beats 92% of 20,183 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 42K times each, and 3.07% of those impressions turn into an interaction. That is about 48.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 27% carry an image or video. The account's strongest tracked post pulled 8.2K interactions, about 6.4x its own typical post. Recurring topics include #cubs, #collegefootball.

What is Taylor McGregor's engagement rate on X?
Taylor McGregor (@Taylor_McGregor) has an engagement rate of 1.49%, based on the median interactions across 15 original posts from the last 30 days against 85,773 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.49%, Taylor McGregor sits above the 75th percentile of the 202,076 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 @Taylor_McGregor have real engagement?
Its engagement rate beats 92% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the top 10% 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 @Taylor_McGregor post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 1.17 posts per day across the measured window.

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