Eugene Kaspersky
CEO of @Kaspersky. 30+ years in #cybersecurity. Views are my own
188,074
Followers
7,634
Following
9,548
Tweets
65.9
Avg Engagement
3,514
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @e_kaspersky's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2011-05-13
- Verification:No
- Location:Mainly on the road
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:22.2
- Avg Retweets per Tweet:43.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsE_kaspersky's tweets typically receive around 737 likes and 371 retweets on average. Their content is well-received, especially when it includes memes and news about cybersecurity.
22.2
Avg Likes/Tweet
43.7
Avg Retweets/Tweet
72,115
Total Likes
141,553
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
9
Median Retweets
45
75th Percentile
18,263
Top Tweet
0.35
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
62.0%
Original
10.9%
Replies
24.5%
Retweets
2.6%
Quotes
0.0%
Threads
0.5%
With Media
76.5%
With Links
40.2%
With #Tags
50.9%
With @Mentions
18.3%
With Emojis
160
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.8%
Weekday Posts
7.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 795 retweets (25% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,242 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience includes cybersecurity professionals, tech enthusiasts, and general followers interested in digital security. They are also drawn to engaging and humorous content like memes.
Average
Audience Quality
26.2%
Suspicion Index
29.8%
Low-Quality %
36
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.6%
Empty Bio
29.7%
<10 Tweets
15.6%
Mass Following (>2K)
0.0%
New (<90 days)
53.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.2%
No URL
21.1%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
71,313,729
Total Potential Reach
36
Median Follower Reach
188
75th Percentile Reach
7.3%
>1K followers
1.2%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.3%
Creators
24,652 accounts
21.0%
Consumers
10,495 accounts
29.7%
Dormant
14,853 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
1,092
Verified Followers
1.08% of total
13,059
Protected Accounts
12.93% of total
9 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,100,235 | Wrestler | Wrestling, Motivation, Self-promotion |
| @El_Universal_Mx | 7,350,307 | News outlet | news, Mexico, journalism |
| @IAmJericho | 3,598,700 | Wrestler | Wrestling, Music, Comedy |
| @levie | 2,467,046 | CEO | Cloud, ABBA, CEO |
| @ruhutsitompul | 2,368,145 | Politician | Youtube, Instagram, Facebook |
| @6BillionPeople | 2,033,588 | - | - |
| @zlj517 | 1,984,902 | Spokesman | Geopolitics, Diplomacy, Communication |
| @RobertAlai | 1,859,179 | Politician | Tech, Politics, Auditing |
| @DonaldBKipkorir | 1,378,203 | Lawyer | Corporate Law, Commercial Law, Roman Catholic |
| @suhasinih | 1,357,484 | Journalist | Diplomacy, Journalism, Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,960
Followers With Bio
37,038
Followers Without Bio
63.33%
% With Bio
36.67%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,242 analyzed65,412
Combined Engagement
0
Total Likes
65,412
Total Retweets
13,082
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @DalaiLama: There is no fortitude like patience, just as there is no destructive emotion worse than hatred. Therefore, practice patience…
RT @OFalafel: Opera singers dubbed with dial up modems could be the next big thing https://t.co/daiG0lVqjw
RT @MattNavarra: CONFIRMED: Twitter will remove inactive accounts and free up usernames in December https://t.co/eZKY83EBH3
RT @calvinb: This Fibonacci joke is as bad as the last two you heard combined.
RT @eugenewei: The original Blade runner was set in 2019, and wow did it ever nail some predictions about life today! https://t.co/8AKCQdrx…
Key Insights & Takeaways
They often share personal and professional updates, such as testifying before the US House of Representatives. They engage with their audience through memes and humor, making cybersecurity topics more accessible. They highlight global cybersecurity initiatives and collaborations with world leaders.
Strengths
- + Established follower base of 188,074
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @e_kaspersky reveals an growing Twitter presence with 188,074 followers. The account demonstrates a content-creator strategy, averaging 65.9 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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