BITCHIMBELLATHORNE
6,283,497
Followers
6,823
Following
77,057
Tweets
3,062.3
Avg Engagement
11,839
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bellathorne'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:2009-06-18
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,135
- Avg Likes per Tweet:2,106.7
- Avg Retweets per Tweet:955.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,135 tweetsAverage likes and retweets are high, indicating a highly engaged audience that responds strongly to provocative and emotionally charged content.
2,106.7
Avg Likes/Tweet
955.7
Avg Retweets/Tweet
6,604,362
Total Likes
2,996,065
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
388
Median Likes
54
Median Retweets
2,200
75th Percentile
733,748
Top Tweet
0.49
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
41.7%
Original
9.7%
Replies
31.5%
Retweets
17.2%
Quotes
0.0%
Threads
0.9%
With Media
57.4%
With Links
19.5%
With #Tags
47.7%
With @Mentions
29.5%
With Emojis
87
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.55
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,135 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 986 retweets (31% 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 3,135 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 bold, unfiltered content and may include individuals drawn to controversy and edgy social commentary.
Average
Audience Quality
34.1%
Suspicion Index
44.9%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.7%
Empty Bio
47.3%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
68.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
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.
21,600,604
Total Potential Reach
16
Median Follower Reach
58
75th Percentile Reach
2.2%
>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).
31.0%
Creators
15,521 accounts
21.7%
Consumers
10,834 accounts
47.3%
Dormant
23,645 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):
348
Verified Followers
0.34% of total
17,160
Protected Accounts
16.99% of total
4 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 |
|---|---|---|---|
| @Amouranth | 3,656,814 | Influencer | Gaming, Fitness, Cosplay |
| @ScHoolboyQ | 2,549,736 | Rapper | music, hip hop, rap |
| @tanamongeau | 2,478,404 | Influencer | Reality TV, YouTube, Controversy |
| @UglyGod | 999,962 | Rapper | Music, Fashion, Entertainment |
| @JonahMarais | 871,108 | Singer | Music, Travel, Adventure |
| @EuFumoUm | 545,402 | - | - |
| @Jayecane | 530,764 | Songwriter | Music, Songwriting, Label |
| @carmenelectra | 511,565 | Model | chat, link, bio |
| @Simonna | 503,290 | Actress | Film & TV, Singer, Veggie lover |
| @noelitoflow | 472,869 | Inspirational Speaker | God, Jesus, Purpose |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,519
Followers With Bio
52,465
Followers Without Bio
48.05%
% With Bio
51.95%
% 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 3,135 analyzed1,906,100
Combined Engagement
320,664
Total Likes
1,585,436
Total Retweets
381,220
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @1kingmyles: What a headline https://t.co/x8GGKL0VMc
RT @JoeBiden: America, I’m honored that you have chosen me to lead our great country. The work ahead of us will be hard, but I promise you…
Fuck u and the power u think you have over me. I’m gonna write about this in my next book😡😡😡 https://t.co/0Ep0iXgW51
RT @Sethrogen: Again, if they’re doing this to old white men ON camera, imagine what the fuck is happening off camera.
RT @blessing_ab15: THERE IS A WHOLE SLAVE TRADE HAPPENING IN LIBYA
Key Insights & Takeaways
The user frequently uses strong language and confrontational statements to provoke reactions. Content often includes personal and sexual themes, suggesting a focus on intimacy and power dynamics. The use of links in tweets may indicate an effort to drive traffic or promote personal projects.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 6,283,497
- + 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 @bellathorne reveals an exceptionally influential Twitter presence with 6,283,497 followers. The account demonstrates a content-creator strategy, averaging 3,062.3 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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