Роман Бабаян
ведущий программы «СВОЯ ПРАВДА» на НТВ, главный редактор радиостанции «ГОВОРИТ МОСКВА» [email protected]
67,846
Followers
144
Following
15,844
Tweets
126.5
Avg Engagement
361
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @robabayan'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:2011-10-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,084
- Avg Likes per Tweet:63.5
- Avg Retweets per Tweet:63.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,084 tweetsHis tweets receive a steady number of likes and retweets, indicating a loyal and active audience. The engagement suggests that his content resonates with followers who are interested in political and social issues.
63.5
Avg Likes/Tweet
63.0
Avg Retweets/Tweet
195,810
Total Likes
194,357
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
81
75th Percentile
12,197
Top Tweet
1.86
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
32.5%
Original
54.2%
Replies
13.2%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
36.3%
With Links
3.9%
With #Tags
71.7%
With @Mentions
1.2%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.67
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,084 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 408 retweets (13% 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 3,084 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 is likely composed of Russian citizens interested in media, politics, and public discourse. They are engaged with content that reflects national pride and political commentary.
Average
Audience Quality
30.9%
Suspicion Index
45.6%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.9%
Empty Bio
42.2%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
61.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
31.3%
<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.
3,342,801
Total Potential Reach
5
Median Follower Reach
42
75th Percentile Reach
3.7%
>1K followers
0.2%
>10K followers
0.1%
>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).
38.5%
Creators
3,850 accounts
19.3%
Consumers
1,927 accounts
42.2%
Dormant
4,223 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):
21
Verified Followers
0.21% of total
510
Protected Accounts
5.1% of total
4 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 |
|---|---|---|---|
| @IamMzilikazi | 553,266 | Musician | Pan-African music, Album, Rise |
| @i_Russia | 513,587 | - | - |
| @drissawaked | 265,945 | Physician | Health education, Coronavirus, Medical specialist |
| @NickValuev | 227,888 | Politician | politics, government, activism |
| @leon_elk | 86,688 | Politician | Firearms, Hunting, Outdoors |
| @czuchnowski | 56,828 | Journalist | Polityka, Dziennikarstwo, Media |
| @KalininAlexandr | 49,957 | Politician | Politics, Moldova, Leadership |
| @AKorybko | 34,458 | - | - |
| @Africarevolt | 34,323 | - | - |
| @TovarichDelSur | 31,103 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,012
Followers With Bio
5,988
Followers Without Bio
40.12%
% With Bio
59.88%
% 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 3,084 analyzed31,196
Combined Engagement
2,591
Total Likes
28,605
Total Retweets
6,239
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @realDonaldTrump: While I had a great meeting with NATO, raising vast amounts of money, I had an even better meeting with Vladimir Putin of Russia. Sadly, it is not being reported that way - the Fake News is going Crazy!
RT @FCBarcelona: Messi ❤️ Fans https://t.co/QMY3JM2e8Z
RT @ClaraVera14: La Policia Nacional requisant les urnes a l'Escola Ramon Llull @btvnoticies https://t.co/p14RzxlGOR
Результаты голосования- это разгром той публики, которая всегда готова отстаивать чьи угодно интересы, кроме интересов своей страны. У коллаборационистов сегодня траур. Вонять будут ещё долго, но это уже никому не интересно)
RT @dimsmirnov175: 15 минут нырял, чтобы найти на дне озера утонувшего мальчика, вытащил и откачал! Памятники таким людям надо ставить https://t.co/z5Li57hKDv
Key Insights & Takeaways
He frequently shares political opinions and nationalistic sentiments, which align with his media background. His tweets often reference public events and political developments, indicating a focus on current affairs. He uses his platform to express views on national issues, suggesting a strong alignment with state narratives.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,846
- + 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 @robabayan reveals an well-established Twitter presence with 67,846 followers. The account demonstrates a conversation-first approach, averaging 126.5 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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