Василий Конов (47+)
Замгенпродюсера на Матч ТВ. Опубликованное в этом блоге исключительно личная точка зрения. Телега: https://t-do.ru/KOnOfff
56,138
Followers
242
Following
172,582
Tweets
44.0
Avg Engagement
391
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VasilyKonov'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: Mid-Tier (10K+)
- Account Age:2010-10-16
- Verification:No
- Location:Russia Msk
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:7.2
- Avg Retweets per Tweet:36.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,193 tweetsHis tweets receive moderate engagement with an average of 353 likes and 33 retweets. The engagement is consistent across his posts.
7.2
Avg Likes/Tweet
36.8
Avg Retweets/Tweet
22,985
Total Likes
117,389
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
5
75th Percentile
65,772
Top Tweet
0.78
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
20.7%
Original
66.7%
Replies
8.1%
Retweets
4.5%
Quotes
0.0%
Threads
0.1%
With Media
25.8%
With Links
2.0%
With #Tags
77.1%
With @Mentions
15.4%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.23
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 258 retweets (8% 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 3,193 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 10,000 followersHis audience includes sports fans and followers of current events in Russia. The content appeals to those interested in football and urban issues.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
100.0%
<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.
2,560,707
Total Potential Reach
4
Median Follower Reach
28
75th Percentile Reach
2.2%
>1K followers
0.3%
>10K followers
0.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
631
Protected Accounts
6.31% of total
6 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 |
|---|---|---|---|
| @NftDnya | 326,219 | - | - |
| @LaureusSport | 170,483 | Sports Organization | Athletes, Sport, #SportForGood |
| @olliecarroll | 143,033 | - | - |
| @gilliankemmerer | 133,527 | Sports Journalist | KHL, kdrama, archery |
| @FCURAL | 114,410 | Football Club | Football, Russia, Yekaterinburg |
| @tariqpanja | 90,354 | Journalist | Football, Money, Investigative Reporting |
| @RTrushechkin | 75,025 | Sports Commentator | Sports, Commentator, Match TV |
| @NikoLas_112 | 72,835 | - | - |
| @guttsait | 59,419 | Sports Commentator | Football, Commentator, Ambassador |
| @VictorKvert2008 | 41,182 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,695
Followers With Bio
6,305
Followers Without Bio
36.95%
% With Bio
63.05%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,193 analyzed114,491
Combined Engagement
829
Total Likes
113,662
Total Retweets
22,898
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @SouthamptonFC: STOP THE COUNT https://t.co/rS94knWEhO
RT @SevillaFC_ENG: https://t.co/kijaxwHDue https://t.co/YtIG4TJbsp
RT @FCBarcelona: No words needed. https://t.co/rHO9vS9aHW
RT @Goodable: Today is a big day. 58 years ago, Hollywood star Keanu Reeves was born. Despite being a gazillionaire, he's remained one of the kindest and most generous people in Hollywood. Here are 11 times that prove we don't deserve Keanu Reeves. https://t.co/SxqJ5MjXhL
Электросамокаты на тротуарах - это зло и беда для Москвы. Почему бы этим отважным людям, летящим, сигналя (!!!) пешеходам, не пойти на проезжую часть?! Тоже самое касается велосипедистов на тротуарах. Цензурных слов нет. Тротуар - это для пешеходов, для тех, кто идёт пешком!
Key Insights & Takeaways
He frequently comments on social issues in Moscow, such as the use of electric scooters on sidewalks. He covers major sports events, including Russian Premier League matches and football club performances. He expresses strong opinions on sports outcomes and player performances, often highlighting key moments and players.
Strengths
- + Established follower base of 56,138
- + High community engagement through conversations
- + 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 @VasilyKonov reveals an growing Twitter presence with 56,138 followers. The account demonstrates a conversation-first approach, averaging 44.0 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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