Алферова Юля
🦹🏻♀️ Архитектор смыслов и менеджер изменений 🙋🏻♀️ Национальный агент развития предпринимательства 👩🏻💼GovTech 👩🏻💻Цифровая трансформация бизнеса
182,622
Followers
117,327
Following
45,111
Tweets
63.7
Avg Engagement
15,879
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlferovaYulya'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:2011-09-13
- Verification:No
- Location:Moscow
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:17.9
- Avg Retweets per Tweet:45.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,194 tweetsHer tweets generally receive moderate engagement, with an average of 162 likes and 45 retweets. Engagement appears to vary depending on the content type, such as personal updates or event-related posts.
17.9
Avg Likes/Tweet
45.8
Avg Retweets/Tweet
57,118
Total Likes
146,435
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
2
Median Retweets
35
75th Percentile
99,582
Top Tweet
0.35
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
67.8%
Original
20.0%
Replies
10.2%
Retweets
2.0%
Quotes
0.0%
Threads
0.1%
With Media
75.6%
With Links
33.6%
With #Tags
37.2%
With @Mentions
31.6%
With Emojis
107
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.9%
Weekday Posts
37.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 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 325 retweets (10% 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 3,194 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 followersHer audience likely includes professionals in government, tech, and business sectors interested in digital transformation and change management. She also engages with a broader audience through personal and event-related tweets.
Average
Audience Quality
23.2%
Suspicion Index
37.6%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.0%
Empty Bio
31.5%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
32.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.7%
No URL
22.3%
<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.
56,847,408
Total Potential Reach
48
Median Follower Reach
265
75th Percentile Reach
7.7%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.1%
Creators
24,543 accounts
19.4%
Consumers
9,722 accounts
31.5%
Dormant
15,735 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):
53
Verified Followers
0.05% of total
5,179
Protected Accounts
5.13% of total
10 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 |
|---|---|---|---|
| @BeatsByAssassin | 2,261,802 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,033,583 | - | - |
| @CSuiteConfess | 1,001,991 | Executive Coach | #MeToo, Executives, Navigating |
| @LeBronJames | 1,000,894 | - | - |
| @EdKrassen | 929,168 | Journalist | Politics, Journalism, Author |
| @rogerhamilton | 928,182 | Entrepreneur | education, entrepreneurship, futurism |
| @GalyginVadim | 734,938 | Comedian | music, travel, photography |
| @drangelocarbone | 734,209 | Lawyer | Legal, Consulting, WhatsApp |
| @Shazam | 731,003 | Music streaming | Apple Music, Shazam, Free offer |
| @larrykim | 728,756 | Entrepreneur | Startups, AdWords, Chatbots |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,584
Followers With Bio
64,413
Followers Without Bio
36.22%
% With Bio
63.78%
% 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 3,194 analyzed119,538
Combined Engagement
0
Total Likes
119,538
Total Retweets
23,908
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MissUniverse: Miss Universe 2018 is... PHILIPPINES! https://t.co/r2BkN8JpXh
RT @realDonaldTrump: I look forward to all meetings today with world leaders, including my meeting with Vladimir Putin. Much to discuss. #G…
RT @FIFAWorldCup: The most-loved foot in #RUS! #ESPRUS https://t.co/oFVsYIYFsW
RT @TeamRussia: Победная раздевалка @TeamRussia 🔥🔥🔥 Всех с победой!! https://t.co/Y7cmInTgsd
RT @SergeyISS: И вот мы дома – на Земле! Космическое спасибо всем за добрые пожелания! Посадка прошла благополучно, чувствую я себя отлично…
Key Insights & Takeaways
Her content often blends personal and professional themes, indicating a relatable and authentic approach. She frequently uses hashtags related to events and national pride, suggesting a focus on community and cultural engagement. Her verified status is low, which may indicate a more organic and personal brand presence.
Strengths
- + Established follower base of 182,622
- + 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 @AlferovaYulya reveals an growing Twitter presence with 182,622 followers. The account demonstrates a content-creator strategy, averaging 63.7 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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