713,393
Followers
864,904
Following
36,575
Tweets
454.5
Avg Engagement
26,790
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ARTEM_KLYUSHIN'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:2010-08-05
- Verification:No
- Location:Москва, Россия
Data Summary
- Tweets Analyzed:2,985
- Avg Likes per Tweet:35.4
- Avg Retweets per Tweet:419.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,985 tweetsThe account maintains a consistent level of engagement with an average of 838 likes and 470 retweets per tweet. The content is well-received, especially during major national events.
35.4
Avg Likes/Tweet
419.1
Avg Retweets/Tweet
105,594
Total Likes
1,251,126
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
28
Median Retweets
109
75th Percentile
358,983
Top Tweet
0.64
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
33.4%
Original
6.4%
Replies
52.6%
Retweets
7.6%
Quotes
0.0%
Threads
0.2%
With Media
49.2%
With Links
28.5%
With #Tags
65.1%
With @Mentions
31.7%
With Emojis
151
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,985 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 1,570 retweets (53% 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 2,985 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 primary audience consists of Russian citizens interested in national pride, sports, and historical events. The followers are likely to be active in patriotic and sports-related online communities.
Average
Audience Quality
22.9%
Suspicion Index
26.9%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.5%
Empty Bio
25.4%
<10 Tweets
19.7%
Mass Following (>2K)
0.0%
New (<90 days)
37.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.1%
No URL
16.4%
<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.
140,552,544
Total Potential Reach
58
Median Follower Reach
343
75th Percentile Reach
12.9%
>1K followers
2.7%
>10K followers
0.9%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
54.4%
Creators
27,201 accounts
20.2%
Consumers
10,116 accounts
25.4%
Dormant
12,683 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):
1,064
Verified Followers
1.05% of total
7,139
Protected Accounts
7.07% of total
7 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 | 14,105,241 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Natasha_Thahane | 2,748,316 | Actress | Actress, Director, Garnier |
| @erigganewmoney | 2,559,760 | Rapper | Music, Album, September |
| @zlj517 | 1,994,562 | Spokesman | Geopolitics, Diplomacy, Communication |
| @KatiePrice | 1,843,120 | Influencer | YouTube, Subscribe, Channel |
| @AlfinetePeixoto | 1,664,431 | Sports Betting | Poder, Sports, Bet |
| @Valeria_Martell | 1,538,729 | Influencer | Fashion, Mexico, Contact |
| @ELgh_ | 1,408,013 | Musician | Music, Booking, Entertainment |
| @DonaldBKipkorir | 1,374,672 | Lawyer | Corporate Law, Commercial Law, Roman Catholic |
| @atabenli | 1,281,150 | İç Mimar | MasterChef, Survivor, Interior Design |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,119
Followers With Bio
43,879
Followers Without Bio
56.55%
% With Bio
43.45%
% 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 2,985 analyzed501,799
Combined Engagement
0
Total Likes
501,799
Total Retweets
100,360
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @realDonaldTrump: .@GOP We were put in this position of power and importance to make decisions for the people who so proudly elected us…
RT @realDonaldTrump: MAKE AMERICA GREAT AGAIN!
RT @realDonaldTrump: BUILD A WALL & CRIME WILL FALL!
RT @realDonaldTrump: Tremendous success tonight. Thank you to all!
Key Insights & Takeaways
The account is heavily focused on Russian national pride and historical events. Content related to sports, particularly football, receives significant engagement. The use of hashtags and trending topics helps in increasing visibility and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 713,393
- + 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 @ARTEM_KLYUSHIN reveals an well-established Twitter presence with 713,393 followers. The account demonstrates a content-creator strategy, averaging 454.5 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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