Ivan Zaytsev
Volleyball player Instagram: zaytsev_official Facebook: https://www.facebook.com/unsupportedbrowser
55,393
Followers
384
Following
2,024
Tweets
198.1
Avg Engagement
184
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @zaytsev'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:2014-02-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,987
- Avg Likes per Tweet:78.0
- Avg Retweets per Tweet:120.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,987 tweetsHis tweets typically receive around 2,950 likes and 505 retweets, indicating a moderately engaged audience.
78.0
Avg Likes/Tweet
120.1
Avg Retweets/Tweet
155,042
Total Likes
238,598
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
20
Median Retweets
128
75th Percentile
112,509
Top Tweet
3.58
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
27.0%
Original
13.5%
Replies
56.1%
Retweets
3.4%
Quotes
0.0%
Threads
0.4%
With Media
75.7%
With Links
51.0%
With #Tags
80.1%
With @Mentions
37.9%
With Emojis
125
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.5
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,987 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 1,114 retweets (56% 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 1,987 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 individuals interested in political and social issues.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
23
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)
91.4%
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.
5,828,775
Total Potential Reach
23
Median Follower Reach
121
75th Percentile Reach
4.6%
>1K followers
0.5%
>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
1,116
Protected Accounts
11.16% 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 |
|---|---|---|---|
| @beppesevergnini | 1,121,985 | Journalist | Travel, Culture, Humor |
| @welikeduel | 511,095 | TV Show | TV, satire, comedy |
| @PoeCasanova | 370,500 | Poet | Music, Poetry, Romance |
| @azael | 200,973 | Scrittore | Nessun senso, Senza scopo, Redenzione |
| @ellyesse | 174,295 | Politician | Politica, Eurodeputata, Relatrice |
| @fraschianchi | 172,947 | Journalist | News, Journalism, Italy |
| @SalernoSal | 147,476 | Giornalista | Giornalismo, autore, televisione |
| @PaolaCortellesi | 111,137 | Actress | comedy, acting, activism |
| @Asiablog_it | 91,081 | Blogger | Asia, humanity, culture |
| @MAYOROFEKITI | 64,360 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,658
Followers With Bio
4,342
Followers Without Bio
56.58%
% With Bio
43.42%
% 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 1,987 analyzed146,816
Combined Engagement
6,957
Total Likes
139,859
Total Retweets
29,363
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @rogerfederer: 🎾👉🏼 💎👉🏼 🆘 https://t.co/6fYgmDFj8z
RT @NobelPrize: BREAKING NEWS: The Norwegian Nobel Committee has decided to award the 2020 Nobel Peace Prize to the World Food Programme (WFP). #NobelPrize #NobelPeacePrize https://t.co/fjnKfXjE3E
Il mio Presidente. https://t.co/uR9Br8CVV2
RT @SportsCenter: History for The Big Fundamental! Tim Duncan has 158 playoff double-doubles, passing Magic Johnson for most all-time. http://t.co/i4F49vGlbO
RT @Olympics: Joint Statement from the International Olympic Committee and the Tokyo 2020 Organising Committee https://t.co/XNcaa4Gvx8
Key Insights & Takeaways
He uses Twitter to share personal and political messages, which may reflect his values and priorities. His content includes a mix of personal achievements and social commentary, suggesting a diverse range of interests. He has a verified presence on Instagram and Facebook, which likely contributes to his overall influence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 55,393
- + 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 @zaytsev reveals an well-established Twitter presence with 55,393 followers. The account demonstrates a content-creator strategy, averaging 198.1 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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