Maxim Kovtun
4-Times Russian National Champion 🥇🥇🥇🥉🥇| 3 Times European Medalist🥈🥉🥈| 2 times World team Medalist 🥈🥈| Universiade 2019 🥈| JFGP Champion | Russia🇷🇺
125,482
Followers
119
Following
4,852
Tweets
38.6
Avg Engagement
440
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MaximkovtunJR'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:2012-04-23
- Verification:No
- Location:Moscow
Data Summary
- Tweets Analyzed:3,004
- Avg Likes per Tweet:18.6
- Avg Retweets per Tweet:20.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,004 tweetsHis tweets receive a steady number of likes and retweets, indicating a loyal and active audience. The engagement is consistent, with no major spikes or drops in interaction.
18.6
Avg Likes/Tweet
20.0
Avg Retweets/Tweet
55,740
Total Likes
60,161
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
3
Median Retweets
20
75th Percentile
5,408
Top Tweet
0.31
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.1%
Original
8.6%
Replies
18.3%
Retweets
0.0%
Quotes
0.0%
Threads
1.4%
With Media
65.7%
With Links
25.9%
With #Tags
29.3%
With @Mentions
25.5%
With Emojis
71
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.6%
Weekday Posts
32.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,004 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 549 retweets (18% 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 3,004 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 followersHis audience likely includes sports fans, fellow athletes, and followers interested in his personal journey. The mix of professional and personal content suggests a broad appeal across different demographics.
Below Average
Audience Quality
47.7%
Suspicion Index
72.5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.6%
Empty Bio
84.0%
<10 Tweets
1.0%
Mass Following (>2K)
0.0%
New (<90 days)
90.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
69.3%
<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.
5,317,910
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.4%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
6.2%
Creators
3,105 accounts
9.8%
Consumers
4,901 accounts
84.0%
Dormant
41,994 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):
7
Verified Followers
0.01% of total
1,789
Protected Accounts
1.79% 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 |
|---|---|---|---|
| @LeBronJames | 1,005,989 | - | - |
| @ARTEM_KLYUSHIN | 719,638 | Politician | Russian politics, diplomacy, international relations |
| @yurionice_PR | 501,331 | Anime | Figure Skating, Anime, Ice Adolescence |
| @Russia | 448,035 | Travel Blogger | Russia, culture, diversity |
| @Ohmygossip | 255,618 | Blogger | Travel, Lifestyle, Media |
| @MatchTV | 236,394 | Sports Broadcaster | Sports, Channel, Russia |
| @gosduma2021 | 168,996 | Politics | politics, elections, Russia |
| @frankiemacd | 151,580 | Weatherman | Weather Reports, YouTube Videos, Dancing |
| @Meryl_Davis | 139,563 | Figure Skater | Figure Skating, Champion, Detroit |
| @gilliankemmerer | 134,227 | Sports Journalist | KHL, kdrama, archery |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,454
Followers With Bio
83,546
Followers Without Bio
16.45%
% With Bio
83.55%
% 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 3,004 analyzed17,546
Combined Engagement
7,530
Total Likes
10,016
Total Retweets
3,509
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Yuzuru ... 😞
We laugh after joke from Nam😂😝 http://t.co/PKa6dTSk9D
Писал, стирал и снова писал, снова стирал... Самое сложное письмо в моей Жизни... Этот день должен был настать. Пришла пора прощаться... Не буду ковырять архивы своей памяти про время… https://t.co/NomK5oPTDa
RT @usainbolt: I remember when they said I wouldn't make it.They said i'm too tall for this..Follow your dreams my peeps.. Pray, work ha ...
RT @neel_ru: Эти голуби выглядят так, будто вот-вот выпустят лучший хип-хоп альбом года: http://t.co/bwGUrsywJZ
Key Insights & Takeaways
He frequently shares emotional and personal reflections, which resonate with his audience. His content includes both professional achievements and personal milestones, showing a balance between public and private life. He occasionally references humor and light-hearted moments, which helps maintain a positive and relatable image.
Strengths
- + Established follower base of 125,482
- + 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 @MaximkovtunJR reveals an growing Twitter presence with 125,482 followers. The account demonstrates a content-creator strategy, averaging 38.6 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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