Eva Victor
310,726
Followers
1,575
Following
2,999
Tweets
3,586.0
Avg Engagement
755
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @evavictor'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:2016-07-24
- Verification:No
- Location:Brooklyn, NY
Data Summary
- Tweets Analyzed:2,987
- Avg Likes per Tweet:1,871.1
- Avg Retweets per Tweet:1,714.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,987 tweetsTheir tweets receive high engagement, indicating a strong connection with followers and relevance to current events.
1,871.1
Avg Likes/Tweet
1,714.8
Avg Retweets/Tweet
5,588,994
Total Likes
5,122,256
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
1
Median Retweets
389
75th Percentile
435,349
Top Tweet
11.54
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
42.6%
Original
40.1%
Replies
14.4%
Retweets
2.8%
Quotes
0.0%
Threads
0.8%
With Media
21.8%
With Links
1.1%
With #Tags
54.4%
With @Mentions
9.4%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.94
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,987 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 431 retweets (14% 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 2,987 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 social justice, politics, and entertainment, with a focus on younger demographics.
Good
Audience Quality
17.4%
Suspicion Index
19.0%
Low-Quality %
98
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.5%
Empty Bio
11.3%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
38.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.8%
No URL
7.4%
<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.
87,378,638
Total Potential Reach
98
Median Follower Reach
299
75th Percentile Reach
8.8%
>1K followers
1.4%
>10K followers
0.4%
>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).
76.0%
Creators
38,007 accounts
12.7%
Consumers
6,336 accounts
11.3%
Dormant
5,657 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):
1,555
Verified Followers
1.55% of total
20,286
Protected Accounts
20.29% of total
9 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 | 14,103,146 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AOC | 13,429,348 | Politician | politics, social justice, equality |
| @funnyordie | 12,887,528 | Comedy | Comedy, Entertainment, Humor |
| @BenStiller | 5,605,225 | Actor | UNHCR, Goodwill Ambassador, Refugees |
| @janboehm | 2,720,052 | Satirist | satire, podcasting, comedy |
| @HEELZiggler | 2,707,862 | - | - |
| @BetoORourke | 2,515,862 | Politician | politics, activism, community |
| @jasonsegel | 1,932,163 | - | - |
| @maggieNYT | 1,656,600 | Journalist | Politics, Journalism, Analysis |
| @geniebouchard | 1,616,101 | Athlete | Tennis, Fashion, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,336
Followers With Bio
30,664
Followers Without Bio
69.34%
% With Bio
30.66%
% 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 2,987 analyzed1,597,576
Combined Engagement
1,140,847
Total Likes
456,729
Total Retweets
319,515
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
me explaining to my boyfriend why we’re going to straight pride https://t.co/ZtXpLaV05s
the girl from the movie who is "different" https://t.co/DeuYcBStzk
me when i def did not murder my husband https://t.co/WuqaXaFXG4
remember when kavanaugh was like “look at my planner see it doesn’t say rape on it” and everyone was like “he’s right it doesn’t”
RT @MichelleObama: Happy 25th anniversary @barackobama. A quarter of a century later, you're still my best friend & the most extraordinary…
Key Insights & Takeaways
They often use personal stories to highlight larger social issues Their content is accessible and relatable, making complex topics easier to digest They engage with current events and public figures, sparking conversations
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 310,726
- + 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 @evavictor reveals an exceptionally influential Twitter presence with 310,726 followers. The account demonstrates a content-creator strategy, averaging 3,586.0 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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