Vitaly Petrov
Official Twitter page of Vitaly Petrov
207,848
Followers
206
Following
4,743
Tweets
38.6
Avg Engagement
2,876
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @vitalypetrov'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:2010-03-04
- Verification:No
- Location:Vyborg, Russia
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:17.6
- Avg Retweets per Tweet:21.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,192 tweetsOn average, his tweets receive around 543 likes and 160 retweets, showing moderate engagement. The engagement varies depending on the type of content, with emotional posts receiving more attention.
17.6
Avg Likes/Tweet
21.1
Avg Retweets/Tweet
56,106
Total Likes
67,212
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
3
Median Retweets
34
75th Percentile
5,395
Top Tweet
0.19
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
52.1%
Original
5.1%
Replies
42.5%
Retweets
0.3%
Quotes
0.0%
Threads
0.4%
With Media
72.2%
With Links
33.5%
With #Tags
61.9%
With @Mentions
38.3%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.7%
Weekday Posts
42.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 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 1,358 retweets (43% 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 3,192 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 includes fans of motorsports, fellow drivers, and followers interested in his personal life. The content appeals to both racing enthusiasts and those looking for personal insights.
Below Average
Audience Quality
45.0%
Suspicion Index
71.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
81.7%
Empty Bio
75.4%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
81.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
61.4%
<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.
22,049,158
Total Potential Reach
2
Median Follower Reach
5
75th Percentile Reach
1.0%
>1K followers
0.2%
>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).
11.7%
Creators
5,826 accounts
12.9%
Consumers
6,450 accounts
75.4%
Dormant
37,724 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):
31
Verified Followers
0.03% of total
1,588
Protected Accounts
1.59% of total
8 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 |
|---|---|---|---|
| @SChecoPerez | 3,663,177 | Formula 1 Driver | Formula 1, Red Bull Racing, Never give up |
| @SiriouslySusan | 1,774,802 | Voice Actor | Voice acting, singing, speaking |
| @VictoriaBonya | 1,522,925 | TV Host | TV, host, journalist |
| @soledadobrien | 1,317,785 | Journalist | working, mom, journalist |
| @LILBTHEBASEDGOD | 1,247,689 | Rapper | Music, Writing, Film |
| @fia | 1,214,957 | Motorsport | motorsport, mobility, news |
| @LeBronJames | 1,004,615 | - | - |
| @sampepper | 740,005 | Influencer | YouTube, Pranks, Vlogs |
| @ARTEM_KLYUSHIN | 719,902 | Politician | Russian politics, diplomacy, international relations |
| @ericschiffer | 688,758 | CEO | business, media, author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,294
Followers With Bio
87,706
Followers Without Bio
12.29%
% With Bio
87.71%
% 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 3,192 analyzed15,494
Combined Engagement
0
Total Likes
15,494
Total Retweets
3,099
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @VRSoloviev: Спасибо всем кто смотрел фильм Президент. Если вас понравился фильм - ретвит Нет - избранное.
RT @carlosainz: All ok! Nothing to worry about! Already thinking how to convince The doctors to Be on the grid for tomorrow! http://t.co/81…
RT @AlbuquerqueFil: This made my day 😂 https://t.co/jekTSG1nc9
RT @FIAWEC: Jet lag managment Seb Style 👋🙈 @Toyota_Hybrid @Sebastien_buemi @kamui_kobayashi @antdavidson https://t.co/rPfd0iCkJs
RT @MercedesBenz: The Vision Mercedes-Maybach Ultimate Luxury, just presented at Auto China, shows how the typical strengths of an exclusiv…
Key Insights & Takeaways
He shares both professional and personal updates, which helps build a connection with his audience. Emotional and heartfelt messages often gain more attention and engagement. He collaborates with other racing figures, which enhances his visibility in the motorsports community.
Strengths
- + Established follower base of 207,848
- + 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 @vitalypetrov reveals an growing Twitter presence with 207,848 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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