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Tracy Beanz engagement report

@tracybeanz - 750K followers on X

Measured over 43 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.008%
of 750K followers
Per impression
0.509%
12K views on a typical post
Reach
1.60%
of its followers see a post
Typical post
61
interactions (median)
Saved
0.008%
1 bookmarks on a typical post
Posting rate
2.87/day
active 73% of days
Peak time
13:00 UTC
Friday

A typical post picks up 61 interactions against 750K followers, an engagement rate of 0.008%. Measured over 43 original posts, its engagement rate beats 31% of 3,882 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 0.509% of those impressions turn into an interaction. That is about 1.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 43 posts sampled, 19% carry an image or video, 19% are part of a thread and 63% link out. The account's strongest tracked post pulled 5.1K interactions, about 83x its own typical post. Recurring topics include #breaking, #lunareclipse.

Measured over 43 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #breaking, #lunareclipse.

Compared with accounts its own size

Tracy Beanz's engagement rate beats 31% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 8 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 35% 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 0.008%, Tracy Beanz 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 13:00 UTC, and Friday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 13:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
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

  • May 27, 202683x their median

    Dear Gen Z: It took ten years -- TEN -- of scrimping, saving, sometimes working two jobs, taking some risks, and overcoming setbacks for my wife and me to save enough to buy a house -- a starter house, a gut job we gutted and remodeled ourselves over two years. No inheritance from anyone. No financial help from anyone. No college degrees. We paid for our own wedding and honeymoon. When we first got together, it was in a crummy apartment in Milwaukee's ghetto with two used cars that quickly turned into one. Yeah, we wanted a house NOW, and we wanted a NICE house, but we weren't babies. We thought in years and decades -- of retirement -- not month-to-month or day-to-day pleasures. And guess what? Those ten years without restaurants and fancy vacations; those ten years of brown-bagging and driving to and from work together; those ten years of a payday pizza being a treat and grilling out and the dollar movie theater and the $4 bleacher seats and the $10 per carload drive-in...? They were wonderful years. We were young, the world was young, we were on a quest, and it was just the two of us. Stop your entitled whining. Wipe your tears. Put your head down. Make it happen. This is America. XXOO, Gen-X

    4.0K57138983107K viewsView on X
  • Aug 18, 202648x their median

    I wonder if these women have any idea what they're going to say to their children, once they're old enough to see these and understand what it means. https://t.co/Op1GqMdSXt

    2.2K1543862101.4M viewsView on X
  • Aug 28, 202617x their median

    🚨On the heels of the measles debacle, we also have this: Pennsylvania's Department of Health wants to change one word in its regulations to allow officials to enter your apartment without a warrant. Right now, the rule says people can't stop a health official from entering during an outbreak investigation, and only after officials have judged the situation an actual threat. The new version flips that into a direct grant of entry power, drops the requirement to judge it a real threat first, and expands what counts as a reason to enter beyond infectious disease to include things like chemical or lead exposure. A state court just ruled the opposite way in a separate case, requiring individualized probable cause before a government inspector can enter an occupied home. The public comment period closes September 21. Full story by @smiddendorp22 linked below 👇 https://t.co/j38U9zNcFq

    6043176837101K viewsView on X
  • Aug 21, 202611x their median

    For as long as most doctors can remember, the female ovary was set to expire one day. Indeed, once a woman went through menopause and her fertile years were over, the organ was considered finished... https://t.co/2uMof45Yog

    5498438674K viewsView on X
  • Aug 7, 202611x their median

    Lots of older people love to take a dump all over their 20 something next gens. Watching it all over X today. Truthfully? Makes me sick. Out of touch.

    42629193426K viewsView on X
  • Aug 23, 20268.1x their median

    TORNADO WARNING for Port St. Lucie and Stuart, Florida! Seek shelter if you are in this warning! https://t.co/KpEurKGl2Y

    423589555K viewsView on X
  • Aug 21, 20267.5x their median

    https://t.co/QP77vf3w3r

    387656216K viewsView on X
  • Aug 23, 20267.2x their median

    #BREAKING: Waterspout / brief tornado caught on camera in Port St Lucie, Florida. I was told this was near the Sandpiper Bay Marina. You can see in the video debris launched into the area. @NWSMelbourne @spann @stormhour https://t.co/gygJPctkBZ

    371604567K viewsView on X
  • Aug 7, 20266.6x their median

    I want it to be EASIER for my kids. Not HARDER or “YEA! Well I had to eat RAMEN! You’ll suffer too!” It’s so odd. Why would you want to compare poverty with your kids?

    3122661325K viewsView on X
  • Aug 27, 20264.5x their median

    The proof that AI is buying books in bulk was recently revealed in a courtroom. Last year, in a copyright lawsuit, internal documents forced into public record revealed that one leading AI company, Anthropic, had spent tens of millions of dollars buying physical books for the sole purpose of destroying them.... https://t.co/Xyyjeqb8gv

    1708218618K 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

#breaking#lunareclipse

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 61 interactions against 750K followers, an engagement rate of 0.008%. Measured over 43 original posts, its engagement rate beats 31% of 3,882 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 0.509% of those impressions turn into an interaction. That is about 1.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 43 posts sampled, 19% carry an image or video, 19% are part of a thread and 63% link out. The account's strongest tracked post pulled 5.1K interactions, about 83x its own typical post. Recurring topics include #breaking, #lunareclipse.

What is Tracy Beanz's engagement rate on X?
Tracy Beanz (@tracybeanz) has an engagement rate of 0.008%, based on the median interactions across 43 original posts from the last 30 days against 749,673 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Tracy Beanz 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 @tracybeanz have real engagement?
Its engagement rate beats 31% of the tracked X accounts closest to it in follower count (3,882 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 @tracybeanz post?
Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 2.87 posts per day across the measured window.

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