Сергей Миронов
Председатель Социалистической политической партии СПРАВЕДЛИВАЯ РОССИЯ – ЗА ПРАВДУ.
270,724
Followers
905
Following
10,473
Tweets
96.1
Avg Engagement
2,133
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mironov_ru'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:2009-10-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:76.3
- Avg Retweets per Tweet:19.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe average engagement per tweet is moderate, with around 1,292 likes and 343 retweets, suggesting a level of interest from followers. The content seems to generate discussion and debate.
76.3
Avg Likes/Tweet
19.8
Avg Retweets/Tweet
247,929
Total Likes
64,183
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
10
Median Retweets
107
75th Percentile
2,382
Top Tweet
0.35
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
87.6%
Original
11.1%
Replies
0.0%
Retweets
1.3%
Quotes
0.0%
Threads
0.0%
With Media
30.3%
With Links
5.6%
With #Tags
11.5%
With @Mentions
1.9%
With Emojis
215
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.3%
Weekday Posts
12.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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.
Posting Patterns & Optimal Timing
Based on 3,249 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 followersThe audience appears to be politically engaged individuals interested in Russian politics and current events. The content is likely attracting attention from those who follow political discourse and public figures.
Below Average
Audience Quality
38.8%
Suspicion Index
57.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.7%
Empty Bio
59.1%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
76.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.8%
No URL
47.4%
<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.
15,774,067
Total Potential Reach
2
Median Follower Reach
18
75th Percentile Reach
2.6%
>1K followers
0.3%
>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).
25.5%
Creators
12,765 accounts
15.4%
Consumers
7,706 accounts
59.1%
Dormant
29,529 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):
63
Verified Followers
0.06% of total
2,977
Protected Accounts
2.95% 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 |
|---|---|---|---|
| @StartupPro | 981,635 | Entrepreneurship | Entrepreneurship, Technology, Investing |
| @dumagovru | 913,642 | Government | Politics, Legislation, Russia |
| @mich261213 | 869,455 | Politician | Politics, Activism, Russia |
| @GalyginVadim | 735,061 | Comedian | music, travel, photography |
| @ARTEM_KLYUSHIN | 720,055 | Politician | Russian politics, diplomacy, international relations |
| @yashar | 704,739 | Journalist | Politics, News, Culture |
| @tawarayat | 518,379 | Technologist | technology, community radio, education |
| @ChristopherJM | 417,880 | Journalist | national security, extremism, Ukraine |
| @anders_aslund | 308,786 | Economist | Russia, Ukraine, Eastern Europe |
| @drissawaked | 266,402 | Physician | Health education, Coronavirus, Medical specialist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,251
Followers With Bio
76,740
Followers Without Bio
24.01%
% With Bio
75.99%
% 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 3,249 analyzed9,722
Combined Engagement
7,645
Total Likes
2,077
Total Retweets
1,944
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
Вышедший из колонии «скопинский маньяк» поехал в Москву сниматься в ток-шоу... На федеральном канале. Вы что, господа, совсем там, простите, попутали? Я понимаю, что рейтинги всего дороже, но надо знать хоть какую-то меру. А дальше что???
Вчера в эфире «Эха Москвы» физлицо, которое я не могу назвать ни гражданином, ни человеком, допустило неумные и хамские высказывания в отношении памяти Зои Космодемьянской. Для таких случаев к нас есть статья УК «Реабилитация нацизма». Срок до 5 лет. Самое время её применить.
Эдвард Бил ездил по подложным номерам, собрав при этом полтысячи штрафов за три месяца. Простые водители спрашивают: «А что так можно было?» Генпрокуратура должна им ответить, почему так можно было. Не надо быть ясновидцем, чтобы понять – коррупция в деле. Надо проверять ГИБДД.
Вложения России в гособлигации США выросли на миллиард долларов. Деньги – это оружие. Никто в здравом уме не станет его хранить в арсенале государства, которое считает вас врагом. Такой шаг ЦБ – антироссийская диверсия, какими бы псевдоэкономическими причинами он не объяснялся.
В Пенсионном фонде снова коррупционный скандал. Удивляться не приходиться. ПФР эффективен лишь как полигон для криминальных схем. Во всем остальном это ненужный посредник между бюджетом и пенсионерами, который дорого обходится государству, и который давно нужно прикрыть.
Key Insights & Takeaways
The account frequently addresses controversial political topics and public figures, which may drive engagement. It often highlights perceived injustices or scandals, which can attract attention and debate. The use of provocative language and questions may be intended to provoke thought or challenge mainstream narratives.
Strengths
- + Established follower base of 270,724
- + 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 @mironov_ru reveals an growing Twitter presence with 270,724 followers. The account demonstrates a content-creator strategy, averaging 96.1 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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