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Kaspersky engagement report

@kaspersky - 313K followers on X

Measured over 25 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 313K followers
Per impression
0.347%
2.6K views on a typical post
Reach
0.83%
of its followers see a post
Typical post
9
interactions (median)
Saved
0.039%
1 bookmarks on a typical post
Posting rate
1.2/day
active 63% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 9 interactions against 313K followers, an engagement rate of 0.003%. Measured over 25 original posts, its engagement rate beats 12% of 21,185 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 2.6K times each, and 0.347% of those impressions turn into an interaction. That is about 0.829% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 72% carry an image or video, 8% are part of a thread and 64% link out. The account's strongest tracked post pulled 326 interactions, about 36x its own typical post. Recurring topics include #cybersecurity, #kasperskynext, #ai.

Measured over 25 original posts from a 30-day window, last computed on October 15, 2026. Recurring tags: #cybersecurity, #kasperskynext, #ai.

Compared with accounts its own size

Kaspersky's engagement rate beats 12% of the tracked X accounts closest to it in follower count (21,185 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 19% 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 0.003%, Kaspersky sits below the 10th percentile of the 212,805 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,805 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,448 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 percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.1%

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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video72% of posts+111%+108% to +115%34K
Outbound link64% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 72% 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.
  • 64% 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 236 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

  • Oct 12, 202636x their median

    Several consumer product features and access to My Kaspersky may be temporarily unavailable due to technical reasons. Weโ€™re working to restore full functionality. Core protection is unaffected, and all user data remains fully secure. We apologize for any inconvenience caused.

    182251041522K viewsView on X
  • Oct 14, 202615x their median

    As of October 14, Kaspersky restored the functionality of most products as well as access to My Kaspersky. Meanwhile, the key protection features of all products worked as usual, with user data remaining safe and secure. The most complete information on the current status can be found on the support page > https://t.co/j6tP3PJtq4

    96121948.9K viewsView on X
  • Oct 9, 20264.9x their median

    A DDoS attack can cost less than your streaming subscription. Sometimes it's just as cheap as a cup of coffee. Kaspersky DFI analyzed 256,000+ dark web posts and 148 active DDoS actors to map how cheap disruption has become. Full report: https://t.co/dbJfcj9gVr https://t.co/dJn3V2KxHK

    8232211K viewsView on X
  • Sep 24, 20262.9x their median

    Researchers built a coin sized device that hacks a Boeing 737. Under $100 to build. Under 60 seconds to install. Here is how the "Bus Driver" attack works. ๐Ÿงต

    232105.8K viewsView on X
  • Sep 14, 20262.8x their median

    New Android Trojan alert: Manic is stealing banking logins across 13 European countries. It logs keystrokes and can even hop between infected phones over Wi-Fi/Bluetooth when offline. Stick to official app stores and limit accessibility permissions. Details: https://t.co/Ud9DjfkT8N

    194202.7K viewsView on X
  • Sep 8, 20262.8x their median

    Mirage Kitten is posing as recruiters on LinkedIn, sending developers a "coding challenge" that quietly installs a trojanized npm package. The payload: two new backdoors, NodeRabbit and PollCat, built to run across Windows, Linux and macOS and blend into normal developer activity. Confirmed targets so far: aviation and fintech organizations, primarily in Afghanistan, Egypt and Ethiopia. Full technical breakdown and indicators of compromise from Kaspersky's Securelist team: https://t.co/zt7I68gldS

    184123.4K viewsView on X
  • Sep 7, 20262.4x their median

    1/3 ๐Ÿ† Kaspersky{CTF} 2026 has its champions! After 24 hours of cybersecurity challenges, five teams came out on top: ๐Ÿ‡จ๐Ÿ‡ด Fluid Attacks โ€” Colombia ๐Ÿ‡ฎ๐Ÿ‡น Security Hub โ€” Italy ๐Ÿ‡ฐ๐Ÿ‡ท Odin from ENKI WhiteHat โ€” South Korea ๐Ÿ‡ฒ๐Ÿ‡ฆ VoidSec from IKLIGHT โ€” Morocco ๐Ÿ‡ท๐Ÿ‡บ CUT from Central University โ€” Russia

    200114.1K viewsView on X
  • Aug 10, 20262.3x their median

    Not every AI agent is there to help you. ๐Ÿค– 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
  • Sep 17, 20262.1x their median

    ๐Ÿšจ We discovered a new version of the MacSync infostealer targeting macOS. The updated variant uses a more complex infection chain to steal credentials, crypto wallet data, and more. ๐Ÿ”‘ Full research drops next week. Stay tuned. ๐Ÿ‘€

    163004.6K viewsView on X
  • Aug 26, 20262.1x their median

    ๐Ÿšจ 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. ๐Ÿ• Today, 13:00 UTC ๐ŸŒ https://t.co/jT2CqBX2tg No registration needed! ๐Ÿšฉ #KasperskyCTF #CTF #Cybersecurity https://t.co/20NOF88bBb

    171103.5K 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.

Recurring topics

#cybersecurity#kasperskynext#ai#ddos#infosec

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 9 interactions against 313K followers, an engagement rate of 0.003%. Measured over 25 original posts, its engagement rate beats 12% of 21,185 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 2.6K times each, and 0.347% of those impressions turn into an interaction. That is about 0.829% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 72% carry an image or video, 8% are part of a thread and 64% link out. The account's strongest tracked post pulled 326 interactions, about 36x its own typical post. Recurring topics include #cybersecurity, #kasperskynext, #ai.

What is Kaspersky's engagement rate on X?
Kaspersky (@kaspersky) has an engagement rate of 0.003%, based on the median interactions across 25 original posts from the last 30 days against 312,574 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Kaspersky sits below the 10th percentile of the 212,805 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 12% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter 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 17:00 UTC, and Wednesday is its busiest day, at roughly 1.2 posts per day across the measured window.

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