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Benzinga engagement report

@Benzinga - 343K followers on X

Measured over 59 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 343K followers
Per impression
0.074%
6.7K views on a typical post
Reach
1.96%
of its followers see a post
Typical post
5
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2/day
active 10% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 5 interactions against 343K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 10% of 6,874 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 6.7K times each, and 0.074% of those impressions turn into an interaction. That is about 1.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 59 posts sampled, 31% carry an image or video and 32% link out. The account's strongest tracked post pulled 26 interactions, about 5.2x its own typical post.

Measured over 59 original posts from a 30-day window, last computed on September 3, 2026.

Compared with accounts its own size

Benzinga's engagement rate beats 10% of the tracked X accounts closest to it in follower count (6,874 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 5% 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 0.002%, Benzinga sits below the 10th percentile of the 66,128 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 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.

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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video31% of posts+111%+108% to +115%34K
Outbound link32% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 31% 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.
  • 32% 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 395 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 2, 20265.2x their median

    Nvidia ($NVDA) is now the cheapest Magnificent 7 stock by forward P/E. $TSLA: 156x $AAPL: 33x $AMZN: 25x $GOOG: 23x $MSFT: 21x S&P 500: 20x $META: 17x $NVDA: 16x That puts Nvidia below every other Mag 7 name shown and even below the broader S&P 500. For a company still posting some of the fastest growth in the market, that valuation gap is hard to ignore. Is $NVDA actually cheap?

    202317.2K viewsView on X
  • Sep 2, 20263.6x their median

    Morgan Stanley upgraded Robinhood ($HOOD) to Overweight and raised its target to $150. The call is about prediction markets. Robinhood made $156M from the product in Q2, more than stock trading or crypto.

    1313111K viewsView on X
  • Sep 2, 20262.4x their median

    Gary Cardone (@GaryCardone) called a $5M Bitcoin (bitcoin:native) target “stupid and irresponsible.” Jesse Tevelow (@jtevelow) pushed back, arguing the dollar has no fixed floor while Bitcoin has a fixed 21M supply.

    902110K viewsView on X
  • Sep 2, 20262.2x their median

    Tim Cook is stepping into a new role as Apple ($AAPL) executive chairman with a compensation package worth about $47 million, signaling that he will remain heavily involved even after leaving the CEO position. Apple disclosed that Cook will receive a $2 million annual salary and a target equity award worth $45 million for fiscal 2027. The package is lower than Cook’s recent compensation, which was roughly $74 million in both 2024 and 2025, but it is still unusually large for a former CEO serving as chairman. Cook is expected to continue helping Apple on major strategic issues, including relationships with governments and policymakers. His ties with the Trump administration and Chinese officials could remain particularly important. New CEO John Ternus will receive an even larger package, with a $3 million salary and a $55 million annual equity award, bringing his target compensation to about $58 million. Roughly 75% of Ternus’ equity award will be performance-based and tied to Apple’s shareholder returns relative to other S&P 500 companies. The remaining 25% will vest over time. The leadership transition marks only Apple’s second CEO change this century. Cook led the company for 15 years and oversaw its growth into a roughly $4.5 trillion technology giant. Ternus, a 25-year Apple veteran with a hardware engineering background, now takes over day-to-day leadership while Cook remains close to the company. His first major public test will come at Apple’s upcoming iPhone launch event.

    80306.1K viewsView on X
  • Sep 1, 20262.2x their median

    Elon Musk (@elonmusk) says artificial intelligence could become superhuman across virtually every digital task by the end of 2027, extending his increasingly aggressive forecasts for AI progress. Musk said AI should be able to outperform humans at anything that can be done digitally and does not require physically manipulating the real world. That category could include coding, research, data analysis, document creation, cybersecurity and other computer-based work. Tasks involving physical construction or manufacturing would still depend on robotics. His comments came after Vercel CEO Guillermo Rauch said the list of things AI still cannot do is rapidly shrinking. Cybersecurity is one area Musk believes could change quickly. Rauch warned that autonomous agents may soon be capable of finding and exploiting software vulnerabilities without human involvement. Musk said Google co-founder Larry Page had warned him years ago that AI could eventually become superhuman at hacking. Recent testing has added to those concerns as more capable agents gain greater autonomy. Musk has repeatedly described AI development as accelerating rapidly, recently calling it a “supersonic tsunami” and arguing that the world has already entered what he considers the beginning of the technological Singularity. His own AI company, SpaceXAI, has been pushing toward more autonomous systems. Grok 4.6 is designed for long-running agents, software engineering and complex knowledge work. The company has also launched Grok Bot, which gives AI agents access to computers so they can complete multi-step tasks across applications and websites. Musk’s broader prediction is that digital knowledge work could be transformed first, while robotics becomes the next major challenge for extending superhuman AI capabilities into the physical world.

    53126.7K viewsView on X
  • Sep 1, 20262.2x their median

    The September Effect Starts Today | PreMarket Playbook + T3 Live | September 1, 2026 https://t.co/UMJNsvLPIa

    81207.0K viewsView on X
  • Sep 2, 20262.0x their median

    Rezolve AI ($RZLV) fell despite H1 revenue surging 1,970% to $130.8M and beating estimates. The company says Google Cloud’s infrastructure deal is “just the beginning,” with more licensing agreements under discussion.

    82009.6K viewsView on X
  • Sep 1, 20262.0x their median

    Infleqtion ($INFQ) CEO Matt Kinsella says the company is following Nvidia’s ($NVDA) playbook. The idea is to monetize quantum sensors now, then use that revenue to chase the bigger prize of commercially useful quantum computing.

    1000011K viewsView on X
  • Sep 3, 20261.8x their median

    BlackRock ($BLK) says AI is still in Phase 1, the massive build-out. Amazon ($AMZN), Alphabet ($GOOGL) and Microsoft ($MSFT) are set to spend nearly $600B this year as Nvidia ($NVDA) keeps capturing demand.

    72004.2K viewsView on X
  • Sep 2, 20261.8x their median

    Bill Ackman (@BillAckman) backed Mark Cuban’s (@mcuban) push for more transparent drug pricing. The pressure point is the PBM model, putting CVS ($CVS), Cigna ($CI) and UnitedHealth ($UNH) in focus.

    61207.1K 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.

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Reading these numbers

A typical post picks up 5 interactions against 343K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 10% of 6,874 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 6.7K times each, and 0.074% of those impressions turn into an interaction. That is about 1.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 59 posts sampled, 31% carry an image or video and 32% link out. The account's strongest tracked post pulled 26 interactions, about 5.2x its own typical post.

What is Benzinga's engagement rate on X?
Benzinga (@Benzinga) has an engagement rate of 0.002%, based on the median interactions across 59 original posts from the last 30 days against 343,488 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Benzinga sits below the 10th percentile of the 66,128 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 @Benzinga have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (6,874 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 @Benzinga post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 2 posts per day across the measured window.

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