Tammy Bruce engagement report
@HeyTammyBruce - 746K followers on X
Measured over 4 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
Early reading. We have captured 4 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 1.1K interactions against 746K followers, an engagement rate of 0.145%. Posts are seen about 16K times each, and 6.98% of those impressions turn into an interaction. That is about 2.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 25% link out. The account's strongest tracked post pulled 45K interactions, about 42x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on September 30, 2026.
Where this sits in the catalog
At 0.145%, Tammy Bruce sits above the 50th percentile of the 204,880 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 11:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 25% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 25% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 25% 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.
- 25% 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 94 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
- Jul 17, 202642x their median
https://t.co/rbe5QvMOTG
- Jul 17, 202624x their median
When you picked him back up and he told you off. Little one had alot to say about being put down.. https://t.co/jBaNAxBjJO
- Jul 20, 202623x their median
Army Pvt. Isabella Gonzales, 19, of Carrollton gave her life in service to this country, killed in action Friday during an Iranian strike in Jordan while supporting our troops abroad. Our prayers are with her family, her fellow soldiers, and all who serve in harm’s way. https://t.co/zn7yMfULgD
- Sep 11, 202617x their median
Never Forget. https://t.co/JnEDKavMk8
- Aug 9, 202617x their median
🫡 https://t.co/DSAkkCyAHC
- Jul 20, 202615x their median
I’m so proud of our Nova team for flying incredible shows for FIFA this year. This is my favorite shot from our closing show in NYC this weekend. https://t.co/lix0Fc24XF
- Jul 13, 20267.3x their median
The biggest lesson I learned in intelligence had nothing to do with secrets. People often assume intelligence is about having access to classified information. It isn't. The best intel officers I worked with weren't successful because they knew more than everyone else. They were successful because they noticed the little things that others overlooked. Before the attacks on September 11th, there were clues. Before COVID became a global pandemic, there were clues. Before Russia invaded Ukraine, there were clues. Before the Taliban rapidly retook Afghanistan, there were clues. The problem wasn't that there was no information. The problem was that the information wasn't connected, prioritized, or ACTED upon. Good intelligence starts by asking different questions. What changed? What's missing? Why now? Who benefits? Those same questions matter just as much outside the intelligence world. Whether you're evaluating a news story, making a business decision, preparing for hurricane season, or simply trying to understand what's happening around you, the goal isn't to know everything. It's to recognize patterns before everyone else does. One unusual event rarely tells you much. But when several small indicators all begin pointing in the same direction, that's when you should pay attention. Your goal is not to predict the future, it's to reduce a surprise. The next time a major story breaks, don't immediately ask whether it's true or false. Ask: (1) What do we actually know? (2) What information is still missing? (3) Who benefits from this narrative? (4) Has something like this happened before? (5) What would change my mind? Most people consume information. Think like an analyst instead. The world doesn't need more opinions. It needs more people willing to slow down, ask better questions, and pay attention.
- Aug 11, 20264.2x their median
My Op Ed in today's @washingtonpost on the courage of @BoyGeorge and the price of principle musicians currently pay for standing with the Jewish People and Civilization. (No firewall). 🇺🇸🇮🇱🌍👊https://t.co/SC8HHczwKS
- Jul 30, 20263.5x their median
This piece of Fauci's diary you would not believe. So pathetic. https://t.co/dlkeNOuJ8M
- Jul 19, 20262.8x their median
❤️🇺🇸 🙏 American woman Dena Karari arrives back in US after being wrongfully detained by Iran for 566 days on spying charges https://t.co/63N1msutL4
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 1.1K interactions against 746K followers, an engagement rate of 0.145%. Posts are seen about 16K times each, and 6.98% of those impressions turn into an interaction. That is about 2.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 25% link out. The account's strongest tracked post pulled 45K interactions, about 42x its own typical post. Only 4 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 Tammy Bruce's engagement rate on X?
- Tammy Bruce (@HeyTammyBruce) has an engagement rate of 0.145%, based on the median interactions across 4 original posts from the last 30 days against 746,136 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.145%, Tammy Bruce sits above the 50th percentile of the 204,880 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 @HeyTammyBruce have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @HeyTammyBruce post?
- Most posts go out around 11:00 UTC, and Monday is its busiest day, at roughly 0.7 posts per day across the measured window.