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Trellix Advanced Research Center engagement report

@TrellixARC - 46K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 27, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 46K followers
Per impression
0.159%
630 views on a typical post
Reach
1.38%
of its followers see a post
Typical post
1
interactions (median)
Saved
0.159%
1 bookmarks on a typical post
Posting rate
0.3/day
active 23% of days
Peak time
21:00 UTC
Tuesday

A typical post picks up 1 interaction against 46K followers, an engagement rate of 0.002%. Measured over 9 original posts, its engagement rate beats 4% of 21,625 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 630 times each, and 0.159% of those impressions turn into an interaction. That is about 1.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 9 posts sampled, 44% carry an image or video and 100% link out. The account's strongest tracked post pulled 80 interactions, about 80x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 27, 2026.

Compared with accounts its own size

Trellix Advanced Research Center's engagement rate beats 4% of the tracked X accounts closest to it in follower count (21,625 accounts, accounts of similar size (decile 4 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 6% 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%, Trellix Advanced Research Center sits below the 10th percentile of the 218,727 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.149%
p750.706%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,727 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,722 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 percentile0.025%
50th percentile0.149%
75th percentile0.706%
90th percentile2.63%
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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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 video44% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 44% 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.
  • 100% 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 266 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Apr 14, 202680x their median

    DCSync attacks bypass traditional defenses by mimicking legitimate replication protocols. Trellix NDR uses behavioral analytics to catch unauthorized replication from non-DC hosts. No signatures required. Read the analysis: https://t.co/ZaNTUNIQpu https://t.co/Xx3j0M2zzH

    6118013.5K viewsView on X
  • Apr 7, 202657x their median

    New research alert 🚨 We identified a dangerous shift in DDoS-for-hire. Masjesu (XorBot) is a simple botnet built for stealth, high-impact disruption, and long-term commercial survival. Full report: https://t.co/vrmAkhhN7T https://t.co/TOjeCBqYyK

    4214105.2K viewsView on X
  • Mar 11, 202645x their median

    Remcos RAT goes fileless. 🛡️By subverting trusted Windows processes and executing via RAM-only injection, it bypasses traditional AV and leaves no disk footprint. A masterclass in forensic evasion. Full analysis: https://t.co/cjEe4wzqNl https://t.co/AV0eCLIZLt

    3410102.2K viewsView on X
  • Mar 23, 202612x their median

    Attackers are using "ghost SPNs" to transiently manipulate permissions, extract credentials, and vanish without a trace, easily bypassing traditional SOC detection models. Our blog details how to protect your identity fabric against this exploitation. https://t.co/GXJ4mwtZ7W https://t.co/m5ZXuXyKky

    75001.4K viewsView on X
  • Feb 17, 202611x their median

    While ransomware grabs the headlines, cryptojacking is the silent threat. New research breaks down a sophisticated new campaign that: 🔹 Hides deep to avoid detection 🔹 Spreads fast via USB drives 🔹 Causes chaos by crashing hardware Read more: https://t.co/UxU2ZpnuFh https://t.co/Q8XEu6asAD

    74001.0K viewsView on X
  • Sep 29, 202610x their median

    APT28 weaponized CVE-2026-21509 in under 24 hours to target 9 Eastern European nations (40% defense, 35% logistics). In CXO Insight ME (p. 49), read how our Second Sight Threat Hunting Report uncovers evasive campaigns: https://t.co/hY5FXT2ogs

    54101.1K viewsView on X
  • Apr 16, 20269.0x their median

    The Trellix team identified 10 current threats you need to know about. Is your organization safe? Find out now. https://t.co/r0O5EP9nc5 https://t.co/PX48zI14qF

    53101.5K viewsView on X
  • Oct 2, 20268.0x their median

    Operationalizing threat intel requires more than matching static IOCs. Our new paper details the Five Dimensions of Operational Threat Intelligence to correlate telemetry, map adversary TTPs, and enable machine-speed SOC detection: https://t.co/zWxXbEUr9k

    80001.2K viewsView on X
  • Aug 19, 20267.0x their median

    We ID’d 300+ malicious skills in the ClawHub registry using ClickFix engineering & indirect prompt injections to deploy NovaStealer. Because plaintext prompts bypass traditional heuristics, behavioral monitoring of child processes is vital. Learn more: https://t.co/X6PmwpYK1d https://t.co/x1YLFO4KuQ

    6010823 viewsView on X
  • Aug 12, 20267.0x their median

    Now available on dark web forums: commodity AI-enhanced cybercrime tools and services - autonomous kill-chain planning engines, stolen API credential markets, AI-assisted insider threat tooling, and more. Read the blog for a full technical analysis: https://t.co/OSCAFdOf2l https://t.co/xrMJEMAoCl

    34001.5K 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 1 interaction against 46K followers, an engagement rate of 0.002%. Measured over 9 original posts, its engagement rate beats 4% of 21,625 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 630 times each, and 0.159% of those impressions turn into an interaction. That is about 1.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 9 posts sampled, 44% carry an image or video and 100% link out. The account's strongest tracked post pulled 80 interactions, about 80x its own typical post.

What is Trellix Advanced Research Center's engagement rate on X?
Trellix Advanced Research Center (@TrellixARC) has an engagement rate of 0.002%, based on the median interactions across 9 original posts from the last 30 days against 45,592 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Trellix Advanced Research Center sits below the 10th percentile of the 218,727 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 @TrellixARC have real engagement?
Its engagement rate beats 4% of the tracked X accounts closest to it in follower count (21,625 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 @TrellixARC post?
Most posts go out around 21:00 UTC, and Tuesday is its busiest day, at roughly 0.3 posts per day across the measured window.

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