Irina Voronina
Comedian, Actor, Instagram @irinavoronina
174,286
Followers
636
Following
21,959
Tweets
389.1
Avg Engagement
591
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IrinaVoronina'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:2009-02-27
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3,185
- Avg Likes per Tweet:16.3
- Avg Retweets per Tweet:372.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,185 tweetsHer tweets typically receive moderate engagement, with an average of 303 likes and 22 retweets. The use of links and hashtags indicates a strategy to drive traffic and boost visibility.
16.3
Avg Likes/Tweet
372.9
Avg Retweets/Tweet
51,844
Total Likes
1,187,562
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
30
75th Percentile
394,448
Top Tweet
2.23
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
42.4%
Original
43.9%
Replies
11.5%
Retweets
2.2%
Quotes
0.0%
Threads
3.6%
With Media
48.8%
With Links
32.4%
With #Tags
77.6%
With @Mentions
32.0%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.03
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.9%
Weekday Posts
24.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,185 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 365 retweets (11% 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 3,185 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 includes comedy and food enthusiasts, as well as fans of her collaborators. The use of hashtags and links suggests a focus on interactive and community-driven content.
Below Average
Audience Quality
40.2%
Suspicion Index
39.4%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.1%
Empty Bio
40.1%
<10 Tweets
31.7%
Mass Following (>2K)
0.0%
New (<90 days)
84.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
26.7%
<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.
21,817,826
Total Potential Reach
35
Median Follower Reach
109
75th Percentile Reach
2.1%
>1K followers
0.3%
>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).
34.2%
Creators
17,080 accounts
25.7%
Consumers
12,874 accounts
40.1%
Dormant
20,046 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):
163
Verified Followers
0.16% of total
18,957
Protected Accounts
18.77% 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 |
|---|---|---|---|
| @6BillionPeople | 2,033,408 | - | - |
| @ObispoPascal | 1,707,492 | Singer | Music, Album, Vinyl |
| @BlakeGray | 1,691,059 | Influencer | Business, United Talent |
| @pmarca | 1,237,850 | Investor | Tucked shirt |
| @JDaIey | 1,230,319 | Owner | Esports, Gaming, Sponsorship |
| @ZachBoychuk | 828,778 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @CTYP_TH | 740,264 | Sex creator | Sex, creator, Thailand |
| @AH_Michael | 737,434 | - | - |
| @BrandonRowland | 671,526 | Influencer | Dancer, Model, Influencer |
| @colegiala_luisa | 625,944 | Student | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,815
Followers With Bio
56,183
Followers Without Bio
44.37%
% With Bio
55.63%
% 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 3,185 analyzed1,058,376
Combined Engagement
0
Total Likes
1,058,376
Total Retweets
211,675
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @taylorswift13: After stoking the fires of white supremacy and racism your entire presidency, you have the nerve to feign moral superior…
RT @icecube: They’d rather arrest hundreds of American citizens then 3 of their own. Very telling.
RT @netflix: To be silent is to be complicit. Black lives matter. We have a platform, and we have a duty to our Black members, employees…
RT @13ReasonsWhy: The tapes were just the beginning. May 18. https://t.co/MZczjM1fP3
RT @FBI: Do you see anyone you recognize? The #FBI is still seeking information to help identify individuals who actively instigated violen…
Key Insights & Takeaways
She leverages live streaming and collaborations to maintain audience interest and expand her reach. Her content blends humor with cooking, creating a unique and relatable brand. She uses hashtags and links to promote her projects and engage with followers directly.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 174,286
- + 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 @IrinaVoronina reveals an well-established Twitter presence with 174,286 followers. The account demonstrates a conversation-first approach, averaging 389.1 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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