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Kaspersky engagement report

@kaspersky - 312K followers on X

Measured over 36 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 312K followers
Per impression
0.225%
2.2K views on a typical post
Reach
0.71%
of its followers see a post
Typical post
5
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.6/day
active 73% of days
Peak time
07:00 UTC
Thursday

A typical post picks up 5 interactions against 312K followers, an engagement rate of 0.002%. Measured over 36 original posts, its engagement rate beats 9% 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 2.2K times each, and 0.225% of those impressions turn into an interaction. That is about 0.713% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 36 posts sampled, 81% carry an image or video, 14% are part of a thread and 67% link out. The account's strongest tracked post pulled 21 interactions, about 4.2x its own typical post. Recurring topics include #cybersecurity, #ai, #ctf.

Measured over 36 original posts from a 30-day window, last computed on September 4, 2026. Recurring tags: #cybersecurity, #ai, #ctf.

Compared with accounts its own size

Kaspersky's engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 15% 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%, Kaspersky 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 07:00 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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 video81% of posts+111%+108% to +115%34K
Outbound link67% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 81% 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.
  • 67% 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 316 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

  • Aug 10, 20264.2x their median

    Not every AI agent is there to help you. 🤖 At #KasperskyCSW, Sergey Lozhkin explained how cybercriminals are increasingly disguising malware as trusted AI applications, turning the technologies people rely on into vehicles for attack. From fake #ChatGPT and #Claude apps to AI-powered infostealers, one thing is becoming clear: Attackers don't need to invent new tricks. They just need new disguises. As AI adoption accelerates, organizations need more than innovation; they need visibility into what every AI tool and agent is doing. #Kaspersky #Cybersecurity #AI #InfoSec

    183003.3K viewsView on X
  • Aug 26, 20263.6x their median

    🚨 Last call! Kaspersky{CTF} webinar starts in just a few hours! Learn how CTFs work, get practical tips, and explore Web, Reverse & PWN challenges with our experts. 🕐 Today, 13:00 UTC 🌐 https://t.co/jT2CqBX2tg No registration needed! 🚩 #KasperskyCTF #CTF #Cybersecurity https://t.co/20NOF88bBb

    161103.4K viewsView on X
  • Aug 21, 20263.4x their median

    🚗 Malware has found a new target: Android car head units. Kaspersky researchers uncovered the first documented malware campaign with an infection chain specifically tailored to these vehicle systems. Here’s how it works 🧵 https://t.co/pOwwx5mmCx

    150112.4K viewsView on X
  • Aug 18, 20263.0x their median

    🚩 New to CTFs? Join the Kaspersky{CTF} webinar to learn how Capture the Flag competitions work and explore sample Web, Reverse & PWN challenges with our experts. 📅 Aug 26, 13:00 UTC 🎟 No registration required 🌐 https://t.co/30CD9MCMpK #KasperskyCTF #CTF #Cybersecurity https://t.co/D4jB9lm5wr

    96003.0K viewsView on X
  • Aug 19, 20262.4x their median

    ☁️ A trusted domain doesn’t always mean trusted content. Kaspersky researchers identified and neutralized 390000+ phishing pages hosted across legitimate cloud platforms and decentralized networks in 12 months. Some attacks went even further, using AitM techniques to intercept credentials, MFA codes and session tokens. See how phishers are abusing trusted infrastructure 👇 🔗 https://t.co/0x9wjy6WZa

    93001.7K viewsView on X
  • Aug 19, 20262.0x their median

    🎤 What does real-world incident response look like when you take it to @defcon? At DEFCON, Kaspersky Global Emergency Response Team experts @EChavarro and Ashley Hiram Muñoz shared insights and techniques drawn from the world of ransomware and digital forensics. 🔎 Eduardo presented the investigation into XEntry Team, a previously unknown threat actor observed abusing BitLocker for ransomware following a two-month intrusion into a victim’s infrastructure. 🔬 Ashley took attendees inside the mechanics of ransomware, exploring how analysts identify encryption algorithms through reverse engineering and debugging. He also led a hands-on workshop on modern DFIR techniques for acquiring, processing and analyzing digital evidence during cyberattacks. A few moments from Las Vegas, where real-world incident response experience met the security community. 👇

    72103.0K viewsView on X
  • Aug 8, 20262.0x their median

    Most people now carry seven different types of personal information on one phone. 39% keep work email on a personal device. 17% can reach work systems from it. 1 in 10 keep confidential company files. The personal device is now a potential enterprise attack surface. → What's actually targeting mobile devices right now, and how to reduce the exposure: https://t.co/5JrjhHHLs5 [Kaspersky market research center, March 2026. 6,760 users, 18 countries.] #cybersecurity

    44114.4K viewsView on X
  • Aug 5, 20262.0x their median

    Igor Kuznetsov joined Kaspersky in 2001 as an antivirus analyst. 20+ years later, he leads the Global Research and Analysis Team. We asked what most people get wrong about a career in threat research. His answer wasn't about technical depth. One of six cyber paths → https://t.co/ytDDYxkF4z #cybersecurity #threatresearch

    81102.5K viewsView on X
  • Aug 5, 20262.0x their median

    1/3 The state of mobile threats, in one thread. 🧵

    52214.7K viewsView on X
  • Aug 12, 20261.8x their median

    1/2 Your phone: banking, photos, passwords, conversations, wallets. Worth a few minutes of protection.

    60305.1K 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.

Recurring topics

#cybersecurity#ai#ctf#kasperskycsw#kasperskyctf

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 5 interactions against 312K followers, an engagement rate of 0.002%. Measured over 36 original posts, its engagement rate beats 9% 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 2.2K times each, and 0.225% of those impressions turn into an interaction. That is about 0.713% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 36 posts sampled, 81% carry an image or video, 14% are part of a thread and 67% link out. The account's strongest tracked post pulled 21 interactions, about 4.2x its own typical post. Recurring topics include #cybersecurity, #ai, #ctf.

What is Kaspersky's engagement rate on X?
Kaspersky (@kaspersky) has an engagement rate of 0.002%, based on the median interactions across 36 original posts from the last 30 days against 312,327 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Kaspersky 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 @kaspersky have real engagement?
Its engagement rate beats 9% 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 @kaspersky post?
Most posts go out around 07:00 UTC, and Thursday is its busiest day, at roughly 1.6 posts per day across the measured window.

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