alissa violet
2,373,395
Followers
523
Following
12,471
Tweets
10,938.2
Avg Engagement
718
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlissaViolet'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: Mega Influencer (1M+)
- Account Age:2012-03-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,218
- Avg Likes per Tweet:9,367.8
- Avg Retweets per Tweet:1,570.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,218 tweetsThe average engagement per tweet is high, indicating a strong and active audience interaction.
9,367.8
Avg Likes/Tweet
1,570.4
Avg Retweets/Tweet
30,145,602
Total Likes
5,053,415
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3,410
Median Likes
369
Median Retweets
13,625
75th Percentile
372,438
Top Tweet
4.61
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
83.3%
Original
9.6%
Replies
4.3%
Retweets
2.9%
Quotes
0.0%
Threads
0.1%
With Media
23.8%
With Links
1.9%
With #Tags
18.3%
With @Mentions
21.3%
With Emojis
57
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,218 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 137 retweets (4% 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 3,218 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 followersTheir audience appears to be broad, with a mix of humor and social commentary resonating with many users.
Average
Audience Quality
33.4%
Suspicion Index
43.9%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.5%
Empty Bio
47.3%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
70.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
35.2%
<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.
24,470,939
Total Potential Reach
9
Median Follower Reach
41
75th Percentile Reach
2.0%
>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).
29.8%
Creators
14,912 accounts
22.9%
Consumers
11,448 accounts
47.3%
Dormant
23,640 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):
456
Verified Followers
0.46% of total
14,998
Protected Accounts
15.0% of total
3 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 | 14,106,315 | Wrestler | Wrestling, Motivation, Self-promotion |
| @bretmanrock | 5,539,669 | Influencer | Makeup, Fashion, Comedy |
| @RomanAtwood | 2,653,498 | YouTuber | Family, Smile, YouTube |
| @historyinmemes | 1,693,285 | - | - |
| @AlexisRen | 1,394,386 | Model | Fashion, Travel, Wellness |
| @TheCJPerry | 1,330,793 | Wrestler | Wrestling, Fashion, Empowerment |
| @UglyGod | 999,763 | Rapper | Music, Fashion, Entertainment |
| @L_Tido | 896,120 | Hip-hop Artist | Hiphop, bookings, Instagram |
| @MilesSTEREOS | 861,952 | Musician | Guitarist, Writer, Producer |
| @EmblemThree | 675,859 | Musician | Music, Band, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,715
Followers With Bio
50,285
Followers Without Bio
49.71%
% With Bio
50.29%
% 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 3,218 analyzed1,100,465
Combined Engagement
615,292
Total Likes
485,173
Total Retweets
220,093
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
it costs $0.00 to defend your friend’s name when they’re not around..
I’m so funny https://t.co/d4VmcmIu2t
RT @KenidraRWoods_: A black man, David McAtee was murdered by LMPD & National Guard officers. He was shot and killed just after midnight. D…
RT @AmandiOnAir: A tale of two Presidential intern pics. https://t.co/I2jvqmZ9eE
we are a sad generation but with happy pictures
Key Insights & Takeaways
The user often uses humor to highlight social issues Their tweets are concise and impactful, making them shareable They focus on relatable themes that resonate with a wide audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,373,395
- + 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 @AlissaViolet reveals an exceptionally influential Twitter presence with 2,373,395 followers. The account demonstrates a content-creator strategy, averaging 10,938.2 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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