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Infosecurity Magazine engagement report

@InfosecurityMag - 252K followers on X

Measured over 28 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 252K followers
Per impression
0.086%
2.3K views on a typical post
Reach
0.92%
of its followers see a post
Typical post
2
interactions (median)
Saved
0.043%
1 bookmarks on a typical post
Posting rate
0.97/day
active 67% of days
Peak time
10:00 UTC
Thursday

A typical post picks up 2 interactions against 252K followers, an engagement rate of 0.001%. Measured over 28 original posts, its engagement rate beats 5% of 15,519 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 2.3K times each, and 0.086% of those impressions turn into an interaction. That is about 0.915% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 28 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 14 interactions, about 7.0x its own typical post.

Measured over 28 original posts from a 30-day window, last computed on September 26, 2026.

Compared with accounts its own size

Infosecurity Magazine's engagement rate beats 5% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 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 0.001%, Infosecurity Magazine sits below the 10th percentile of the 156,969 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,969 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,068 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 10:00 UTC, and Thursday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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 324 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 21, 20267.0x their median

    For security leaders thinking about their team’s development, the question to consider is how much of your team’s training time involves actually doing something, rather than reading about it or watching someone else do it. @tryhackme's article spotlights a key issue in the cybersecurity field: the gap between cybersecurity knowledge and practical readiness: https://t.co/bLgfXS6Smy

    101302.8K viewsView on X
  • Sep 15, 20266.0x their median

    Microsoft has announced fixes for a record 974 CVEs in its September 2026 Patch Tuesday release – and it’s partly due to AI: https://t.co/DXnOtZw5FD https://t.co/Xflbs2BrmZ

    63302.4K viewsView on X
  • Jul 14, 20264.5x their median

    Sysdig reveals JadePuffer, allegedly the world's first AI-driven ransomware campaign. It exploited CVE-2025-3248, targeting a Langflow instance with an autonomous AI agent. In one attempt, it fixed a failed login in 31 seconds. https://t.co/EEJv7PyAPd https://t.co/Y5JRcerfyB

    63001.9K viewsView on X
  • Aug 18, 20264.0x their median

    A joint advisory from the Federal Bureau of Investigation (FBI), the Cybersecurity and Infrastructure Security Agency and the Korean National Police Agency has warned that Gunra ransomware is actively exploiting Fortinet vulnerabilities to target government and critical national infrastructure. Operating as a structured ransomware-as-a-service and occasionally under the alias "Golden Community," the group focuses on internet-facing devices like firewalls and VPNs for initial network access. https://t.co/dEoUuWWOhO

    53003.0K viewsView on X
  • Jun 22, 20264.0x their median

    Catch up on Protecht's webinar to explore how AI-driven threats are exposing the limits of fragmented cyber programmes, why cyber resilience has become a governance challenge, and how organizations can build a more connected and defensible approach to cyber risk: https://t.co/q6K3oLbltf

    32212.6K viewsView on X
  • Aug 27, 20263.5x their median

    A new advisory by the @FBI shows that critical infrastructure victims of the Medusa ransomware group have jumped from over 300 in February 2025 to over 500 by April 2026. Healthcare organizations are bearing a disproportionate share of the attacks: https://t.co/IEVBSsvSuc https://t.co/Yam4e1Ei8c

    52002.3K viewsView on X
  • Aug 12, 20263.5x their median

    Rather than creating entirely new forms of cybercrime, agentic AI has the potential to make existing attacks faster, more scalable and increasingly sophisticated. In this article, @bet365's CISO explores why security teams should focus less on chasing hypothetical risks and more on preparing for the acceleration of today's threat landscape: https://t.co/P2bpciK6A8

    50113.0K viewsView on X
  • Jul 6, 20263.5x their median

    In a recent @MetaCompliance study, 68% of CISOs identified employees as their organization’s primary cyber security threat. Join us on July 16 for MetaCompliance’s webinar, where we'll discuss how leaders can treat human cyber risk as a measurable and manageable discipline: https://t.co/rAq2O0YSrE

    61001.9K viewsView on X
  • Jun 29, 20263.5x their median

    As a cybersecurity professional with a wealth of certifications, the CEO of Cybernetic, didn’t anticipate delving into another, but AI has reshaped the risk landscape. Her article outlines a study path to enhance your knowledge: https://t.co/jX0AGlM4Bu https://t.co/faKfANhEN3

    43001.8K viewsView on X
  • Sep 3, 20263.0x their median

    AI is reshaping the cloud threat landscape on both sides. Join the the Infosecurity Magazine Cloud Security Virtual Summit on Sept 22 to learn how organizations can securely scale AI in the cloud while building resilience against increasingly intelligent attacks: https://t.co/KcRJeHM6lS

    41102.7K 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 2 interactions against 252K followers, an engagement rate of 0.001%. Measured over 28 original posts, its engagement rate beats 5% of 15,519 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 2.3K times each, and 0.086% of those impressions turn into an interaction. That is about 0.915% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 28 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 14 interactions, about 7.0x its own typical post.

What is Infosecurity Magazine's engagement rate on X?
Infosecurity Magazine (@InfosecurityMag) has an engagement rate of 0.001%, based on the median interactions across 28 original posts from the last 30 days against 252,441 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Infosecurity Magazine sits below the 10th percentile of the 156,969 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 @InfosecurityMag have real engagement?
Its engagement rate beats 5% of the tracked X accounts closest to it in follower count (15,519 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 @InfosecurityMag post?
Most posts go out around 10:00 UTC, and Thursday is its busiest day, at roughly 0.97 posts per day across the measured window.

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