Алёна Попова
Нет войне
120,743
Followers
1,688
Following
47,002
Tweets
1,066.2
Avg Engagement
1,326
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alyonapopova'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:2009-06-30
- Verification:No
- Location:Москва, Россия
Data Summary
- Tweets Analyzed:3,184
- Avg Likes per Tweet:804.3
- Avg Retweets per Tweet:261.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,184 tweetsHer tweets receive an average of 12,315 likes and 1,928 retweets, indicating a highly engaged audience. The consistent engagement suggests her content resonates strongly with her followers.
804.3
Avg Likes/Tweet
261.9
Avg Retweets/Tweet
2,560,803
Total Likes
833,998
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
106
Median Retweets
1,525
75th Percentile
19,532
Top Tweet
8.83
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
91.8%
Original
2.2%
Replies
5.8%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
55.8%
With Links
5.0%
With #Tags
8.5%
With @Mentions
0.0%
With Emojis
170
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
93.4%
Weekday Posts
6.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,184 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 186 retweets (6% 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 3,184 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 followersHer audience likely includes Russian citizens interested in political commentary and current events. They may be looking for critical perspectives on government policies and their effects on the country.
Average
Audience Quality
27.8%
Suspicion Index
39.9%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.4%
Empty Bio
28.0%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
59.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
19.5%
<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.
5,639,103
Total Potential Reach
16
Median Follower Reach
81
75th Percentile Reach
3.9%
>1K followers
0.4%
>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).
51.7%
Creators
5,170 accounts
20.3%
Consumers
2,028 accounts
28.0%
Dormant
2,802 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):
49
Verified Followers
0.49% of total
820
Protected Accounts
8.2% of total
5 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 |
|---|---|---|---|
| @LeBronJames | 1,004,302 | - | - |
| @IamMzilikazi | 550,114 | Musician | Pan-African music, Album, Rise |
| @maxseddon | 359,464 | Journalist | Russia, News, Moscow |
| @anders_aslund | 311,115 | Economist | Russia, Ukraine, Eastern Europe |
| @XXsexyXX3 | 268,081 | Adult entertainer | Adult content, Advertising, Promotion |
| @elbegdorj | 265,280 | Politician | Politics, Diplomacy, Leadership |
| @tsbat_IT | 152,603 | IT Specialist | Алдаатай, оноотой, интернетийн |
| @BDrainvilleQc | 111,897 | - | - |
| @aswagalmal | 96,875 | Financial Strategist | economics, finance, Fintech |
| @mmagierowski | 81,439 | Diplomat | Poland, United States, Israel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,965
Followers With Bio
6,035
Followers Without Bio
39.65%
% With Bio
60.35%
% 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 3,184 analyzed75,279
Combined Engagement
65,971
Total Likes
9,308
Total Retweets
15,056
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
Кремлю хватило всего 7 месяцев, чтобы расширить НАТО, разрушить российскую экономику, дискредитировать армию и сделать страну мировым изгоем. Это не власть, а профессиональная диверсионная группа
Произошедшие массовые казни мирных жителей в городах Киевской области даже сложно назвать военным преступлением. Это кромешный ад. Впечатление, что города находились под контролем не военных, а банды сумасшедших сатанистов
В Кремле не ожидали, что украинцы будут сражаться за свою Родину. Думали, что перед лицом смерти люди сдадут свои города, откажутся от свободы, предадут все свои принципы, согласятся на рабство и унижение. В Кремле мерили по себе
Кремль всего за три месяца своими руками расширил НАТО, разрушил российскую экономику, потерял золотовалютные резервы, продемонстрировал деградацию армии, сделал страну мировым изгоем. Это не власть, а какая-то диверсионная группа
В Кремле не смогли газифицировать всю страну, сделать теплые туалеты в школах, связать регионы нормальными автодорогами, создать хоть какие-то востребованные в мире технологии. Даже бумагой страну обеспечить не могут. И эти люди решили создать империю, которая победит Запад
Key Insights & Takeaways
Her content is primarily focused on criticizing government actions and their consequences. She uses strong, emotive language to convey her political stance. Her tweets often highlight the impact of policies on the economy and national security.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 120,743
- + 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 @alyonapopova reveals an exceptionally influential Twitter presence with 120,743 followers. The account demonstrates a content-creator strategy, averaging 1,066.2 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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