BigBeat engagement report
@qmbigbeat - 114K followers on X
Measured over 44 original posts from a 30-day window, last computed on October 8, 2026.
Engagement
A typical post picks up 2 interactions against 114K followers, an engagement rate of 0.001%. Measured over 44 original posts, its engagement rate beats 5% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.8K times each, and 0.054% of those impressions turn into an interaction. That is about 2.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 44 posts sampled, 30% carry an image or video and 77% link out. The account's strongest tracked post pulled 15 interactions, about 7.5x its own typical post.
Measured over 44 original posts from a 30-day window, last computed on October 8, 2026. Recurring tag: #ai.
Compared with accounts its own size
BigBeat's engagement rate beats 5% of the tracked X accounts closest to it in follower count (20,444 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 4% 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 0.001%, BigBeat sits below the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 12:00 UTC, and Wednesday 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 | 30% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 77% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 30% 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.
- 77% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 158 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
- Oct 2, 20267.5x their median
Rick, After watching you for 27 years, it is hard to imagine @CNBC or the markets without you. There were the bond calls, the Fed debates, the Chicago floor energy, the on-air rants, the arguments, and yes, more than a few memorable spats with your CNBC colleagues. Half the fun was never quite knowing whether the next segment was going to be a market update or a full-blown @RickSantelli moment. But that was also what made you different. You never sounded scripted. You cared about what you were saying, you challenged people when you disagreed, and you brought the emotion and intensity of an actual trading floor to television. Sometimes people agreed with you, sometimes they absolutely did not, but everybody listened. For those of us who have spent decades around markets, you became part of the daily routine. Through crashes, rallies, Fed cycles, financial crises, political battles, and some truly crazy trading days, your voice was always there. I have watched you for 27 years, Rick, and somewhere along the way you stopped feeling like just another person on television and became part of the soundtrack of my career. Thank you for the knowledge, the passion, the arguments, the laughs, the rants, and for never being afraid to say exactly what you thought. Congratulations on one hell of a run. You will be missed. Steven E. Orr CEO & Founder, Quasar Markets
- Oct 5, 20266.5x their median
It’s all about tech this morning, with AI-related stocks like $NVDA and $MSFT moving higher. @sam_vadas breaks down today’s key movers and what to watch this week, including upcoming earnings and economic data. For more: https://t.co/MhoD9dIIGB https://t.co/ppSApJytPb
- Sep 30, 20264.5x their median
The intersection of AI and cybersecurity is becoming one of the most important topics in business today. Hear @amazon Chief Security Officer Stephen Schmidt discuss how AI is reshaping risk management, the biggest misconceptions surrounding AI security, and key actions organizations should be taking now with @NPetallides. Watch the interview here today at 2:30pm ET: https://t.co/GG7PnIQKXN
- Oct 7, 20263.0x their median
Steven E. Orr @qmbigbeat grew up in Southern Illinois, the son of a coal miner and a pharmacist. He could never have imagined where life would take him, from Washington and professional sports to Wall Street, financial technology, and ultimately building https://t.co/BTFcpeFa39. see more of this story here: https://t.co/CfdH7l0eFj There have been wins, losses, risks, reinventions and plenty of moments when quitting would have been easier. But, he never quit. His story was about believing that the next chapter could always be bigger than the last. We are proud to share a piece of that journey. This is his story, but the legacy is still being written. https://t.co/DyjyPQ3iML
- Oct 6, 20262.5x their median
Todd "Bubba" Horwitz @Bubba_Trading https://t.co/QL9SOdWI16
- Oct 5, 20262.5x their median
I AM GOING ON @nysetv at 9:30 AM! $AMZN : I think the big story right now is that the market is starting to shift from worrying about too much growth to worrying about not enough. The jobs number was clearly weak, and when you combine that with the downward revisions, it starts to look like the labor market may be cooling faster than people expected. That immediately puts the Fed back in focus because they just raised rates, and now investors are asking whether they may have tightened into a slowdown. At the same time, the bond market is not exactly giving us the all-clear, with long-term yields still elevated, so stocks may want to celebrate less Fed tightening while bonds are still worried about inflation and broader risk. Now I want to see what ISM Services, jobless claims and ultimately earnings tell us about the economy. And within this environment, my stock pick is Amazon. Goldman just added $AMZN to its Conviction List, and I think Amazon sits at the intersection of several of the strongest themes in this market: AWS and AI infrastructure, advertising, e-commerce and improving operating leverage. So even if the broader economy is slowing, I’m looking for companies that can continue to grow and expand margins through that environment, and Amazon is one of the names I think can do that.
- Oct 6, 20262.0x their median
I have sold off my Trading Portfolio. We are waiting for the rug pull.... and you know it is coming. Thanks for all the fishes! $SPY and $QQQ ATH..... https://t.co/MOmdhOF1Ag
- Oct 2, 20262.0x their median
@mikemcglone11 Senior Commodity Strategist - Bloomberg Intelligence @business https://t.co/y54bp2CdN8
- Oct 5, 20261.5x their median
Big Thank you to @NYSE and @KristenScholer for having me on this morning. It's all about $AMZN and #AI @federalreserve need to give us more clarity at the October meeting. https://t.co/etI4uSzG1S
- Oct 3, 20261.5x their median
We built the better path. Patent secured. Invest in the mission for a better future. https://t.co/KPo9NfkQ5t https://t.co/6Rti6HqCWl
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
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 2 interactions against 114K followers, an engagement rate of 0.001%. Measured over 44 original posts, its engagement rate beats 5% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.8K times each, and 0.054% of those impressions turn into an interaction. That is about 2.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 44 posts sampled, 30% carry an image or video and 77% link out. The account's strongest tracked post pulled 15 interactions, about 7.5x its own typical post.
- What is BigBeat's engagement rate on X?
- BigBeat (@qmbigbeat) has an engagement rate of 0.001%, based on the median interactions across 44 original posts from the last 30 days against 113,703 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, BigBeat sits below the 10th percentile of the 205,374 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 @qmbigbeat have real engagement?
- Its engagement rate beats 5% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @qmbigbeat post?
- Most posts go out around 12:00 UTC, and Wednesday is its busiest day, at roughly 2.23 posts per day across the measured window.