VAMP 🦇
⚰️Ghoul Of Your Dreams | Actress | Beekeeper | Ghost Hunter | Fiend |https://www.thefiends.com/ https://www.vampcult.com/ 🦇
78,372
Followers
854
Following
11,320
Tweets
302.5
Avg Engagement
536
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Vamp'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: Mid-Tier (10K+)
- Account Age:2010-12-08
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:24.0
- Avg Retweets per Tweet:278.5
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,230 tweetsVamp's tweets generally receive moderate engagement, with an average of 537 likes and 47 retweets per tweet. Their content is often themed and includes links to external content, which may drive traffic and interaction.
24.0
Avg Likes/Tweet
278.5
Avg Retweets/Tweet
77,503
Total Likes
899,557
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
4
Median Retweets
40
75th Percentile
545,906
Top Tweet
3.86
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
44.7%
Original
8.6%
Replies
39.0%
Retweets
7.6%
Quotes
0.0%
Threads
8.9%
With Media
87.9%
With Links
64.5%
With #Tags
78.2%
With @Mentions
69.3%
With Emojis
146
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 1,261 retweets (39% 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 3,230 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 10,999 followersThe audience appears to be fans of pop culture, particularly TV shows like The Walking Dead and Star Wars, as well as enthusiasts of horror and supernatural themes. They are likely interested in interactive content and promotions.
Average
Audience Quality
34.8%
Suspicion Index
34.1%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.4%
Empty Bio
32.4%
<10 Tweets
29.7%
Mass Following (>2K)
0.0%
New (<90 days)
71.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
21.7%
<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.
31,225,420
Total Potential Reach
48
Median Follower Reach
133
75th Percentile Reach
4.1%
>1K followers
0.9%
>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).
44.9%
Creators
4,939 accounts
22.7%
Consumers
2,495 accounts
32.4%
Dormant
3,565 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):
62
Verified Followers
0.56% of total
1,920
Protected Accounts
17.46% 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 |
|---|---|---|---|
| @JohnCena | 14,097,818 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DeviantArt | 2,022,968 | Artistic Community | Art, Community, Support |
| @APompliano | 1,659,612 | Entrepreneur | Entrepreneurship, Investing, Learning |
| @BreakingBad | 1,471,978 | TV Show | TV shows, crime, drama |
| @JDMorgan | 1,051,830 | Actor | acting, family, sports |
| @rosemcgowan | 979,820 | Director | art, reading, truth |
| @ThatEricAlper | 898,075 | Music Publicist | Music, Media, Idealism |
| @NOH8Campaign | 800,216 | Activism | equality, bullying, discrimination |
| @DavidAyerMovies | 538,022 | Filmmaker | movies, writing, directing |
| @madeintyo | 401,955 | Rapper | Music, Tokyo, Yokohama |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,895
Followers With Bio
5,104
Followers Without Bio
53.6%
% With Bio
46.4%
% 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 3,230 analyzed798,558
Combined Engagement
0
Total Likes
798,558
Total Retweets
159,712
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @KameronBennett: Never forget 💛 https://t.co/RFcMfBmwME
RT @DocBrownLloyd: Time… https://t.co/sRE0rl3CNX
RT @SpaceX: Docking confirmed – Crew Dragon has arrived at the @space_station! https://t.co/KiKBpZ8R2H
RT @rickygervais: Never gonna happen 😂 https://t.co/1tYopQjL1c
Key Insights & Takeaways
Vamp's content is heavily themed around pop culture and entertainment, which likely drives engagement. They frequently use hashtags and links to promote specific content or campaigns. Their personal interests, such as beekeeping and ghost hunting, add a unique and relatable angle to their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,372
- + 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 @Vamp reveals an well-established Twitter presence with 78,372 followers. The account demonstrates a content-creator strategy, averaging 302.5 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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