Maria Pevchikh
Head of Investigations Chairwoman of the Board ANTI-CORRUPTION FOUNDATION https://www.facebook.com/unsupportedbrowser
308,741
Followers
787
Following
10,487
Tweets
1,599.5
Avg Engagement
1,890
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pevchikh'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:2014-10-08
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:1,361.4
- Avg Retweets per Tweet:238.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsPevchikh's tweets receive substantial engagement, with an average of 30k likes and 9.8k retweets per tweet, indicating a highly interactive and interested audience. The content is well-received and often shared widely.
1,361.4
Avg Likes/Tweet
238.1
Avg Retweets/Tweet
4,417,625
Total Likes
772,768
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
447
Median Likes
81
Median Retweets
1,747
75th Percentile
108,053
Top Tweet
5.18
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
20.6%
Original
44.6%
Replies
26.9%
Retweets
8.0%
Quotes
0.0%
Threads
0.1%
With Media
49.3%
With Links
0.8%
With #Tags
48.4%
With @Mentions
3.5%
With Emojis
167
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.17
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.6%
Weekday Posts
18.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 873 retweets (27% 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 3,245 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 interested in investigative journalism and anti-corruption issues, likely including activists, journalists, and individuals concerned with political transparency. They are engaged with content that highlights personal stories and high-profile figures.
Average
Audience Quality
29.1%
Suspicion Index
42.5%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.4%
Empty Bio
36.7%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
58.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
27.5%
<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.
47,089,004
Total Potential Reach
10
Median Follower Reach
75
75th Percentile Reach
5.3%
>1K followers
0.8%
>10K followers
0.2%
>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).
44.9%
Creators
22,436 accounts
18.4%
Consumers
9,195 accounts
36.7%
Dormant
18,369 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):
1,284
Verified Followers
1.27% of total
9,834
Protected Accounts
9.74% 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 |
|---|---|---|---|
| @JohnCena | 14,102,335 | Wrestler | Wrestling, Motivation, Self-promotion |
| @amanpour | 3,198,378 | Journalist | Global affairs, journalism, news |
| @jaketapper | 3,163,991 | Journalist | News, Politics, Journalism |
| @gregjames | 1,583,124 | Radio Host | Radio, author, cricket |
| @FMouraBrasil | 1,525,116 | Journalist | Politics, Journalism, Radio |
| @IAPonomarenko | 1,258,296 | - | - |
| @MalcolmNance | 1,153,545 | Intelligence Expert | Terrorism, Extremist Ideology, Russian Cyber |
| @Podolyak_M | 1,045,039 | Adviser | Politics, Adviser, Ukraine |
| @DavidCornDC | 949,813 | Journalist | Politics, Journalism, News |
| @NOH8Campaign | 801,519 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,197
Followers With Bio
52,799
Followers Without Bio
47.72%
% With Bio
52.28%
% 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 3,245 analyzed383,577
Combined Engagement
307,024
Total Likes
76,553
Total Retweets
76,715
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
I would like you to meet Polina Kovaleva. Polina is a 26-year-old glamorous Russian girl from London🇬🇧. She lives in a huge apartment in Kensington and loves to party, her instagram feed looks like a non-stop holiday. That’s not unheard of, but there is one small detail…(THREAD)
Who said you cannot solve a problem with a twitter thread? Polina Kovaleva has been sanctioned today. Her glamorous British life is over. This wouldn't have happened without all of you. Without 70k likes, retweets and all of you talking about it. Thank you. https://t.co/UtyvZdIHL
There is an elephant in the negotiation room. Its name is Roman Abramovich. Allow me to give you some context on who this guy actually is and how his participation in the Ukraine-Russia peace talks should be viewed. https://t.co/2vlRqwaLlq
Polina and her mom must get sanctioned. Polina has to pack her Louis Vuitton suitcases, say goodbye to her British life and leave the UK. Should she not be able to explain where she got the £4.4m from, her property must be arrested under the Unexplained Wealth Order procedure. ht
She paid cash. No mortgage. £4.4m. Can anyone explain how this is possible? Her only source of money is her unemployed mother who happens to be Lavrov’s informal wife. This is the textbook example of unexplained wealth. The property can be legally seized right now.
Key Insights & Takeaways
Pevchikh often uses personal narratives to highlight corruption and political influence. The content frequently references high-profile Russian figures and their alleged wealth and power. There is a focus on exposing hidden connections and financial interests of political elites.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 308,741
- + 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 @pevchikh reveals an exceptionally influential Twitter presence with 308,741 followers. The account demonstrates a conversation-first approach, averaging 1,599.5 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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