Sinbad
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232,151
Followers
2,314
Following
148,799
Tweets
1,577.8
Avg Engagement
1,938
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sinbadbad'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:2008-07-13
- Verification:No
- Location:wherever i go
Data Summary
- Tweets Analyzed:3,151
- Avg Likes per Tweet:43.1
- Avg Retweets per Tweet:1,534.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,151 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The average engagement per tweet is notable, reflecting his popularity.
43.1
Avg Likes/Tweet
1,534.6
Avg Retweets/Tweet
135,936
Total Likes
4,835,580
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
5
Median Retweets
69
75th Percentile
179,991
Top Tweet
6.8
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
61.6%
Original
9.3%
Replies
19.7%
Retweets
9.3%
Quotes
0.0%
Threads
0.8%
With Media
75.7%
With Links
11.6%
With #Tags
33.4%
With @Mentions
2.4%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,151 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 622 retweets (20% 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 3,151 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 followersHis audience includes fans and followers who appreciate his updates and personal insights. Many of them engage with his tweets by liking and retweeting.
Average
Audience Quality
22.8%
Suspicion Index
21.6%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
12.9%
<10 Tweets
19.3%
Mass Following (>2K)
0.0%
New (<90 days)
54.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.5%
No URL
6.9%
<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.
79,499,245
Total Potential Reach
58
Median Follower Reach
213
75th Percentile Reach
6.9%
>1K followers
1.0%
>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).
67.6%
Creators
33,796 accounts
19.5%
Consumers
9,742 accounts
12.9%
Dormant
6,462 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):
672
Verified Followers
0.67% of total
14,570
Protected Accounts
14.43% 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 | 14,100,463 | Wrestler | Wrestling, Motivation, Self-promotion |
| @pattonoswalt | 4,669,456 | Comedian | comedy, acting, podcasting |
| @fatbellybella | 2,796,452 | Musician | Music, Humor, Playfulness |
| @KingBach | 2,380,955 | Actor | Comedy, Acting, YouTube |
| @billburr | 2,155,421 | Comedian | Comedy, Family, Creator |
| @cthagod | 2,126,127 | Radio Host | Music, Comedy, Culture |
| @6BillionPeople | 2,034,517 | - | - |
| @Meghan_Trainor | 1,988,154 | Singer | Music, Love, Collaboration |
| @Delta | 1,660,325 | Airline | Travel, Customer Service, Aviation |
| @AmericanAir | 1,649,116 | Airline | Customer service, Travel, Aviation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,707
Followers With Bio
37,279
Followers Without Bio
63.08%
% With Bio
36.92%
% 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 3,151 analyzed817,816
Combined Engagement
0
Total Likes
817,816
Total Retweets
163,563
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @KenidraRWoods_: A black man, David McAtee was murdered by LMPD & National Guard officers. He was shot and killed just after midnight. D…
RT @novioliii: now lets charge and arrest the officers who murdered breonna taylor https://t.co/LOmxAlsWCf
RT @ifyouwereafo: My Roommate did a dunk contest and it went bad...Lmfaooo https://t.co/GgCMwwkdVq
RT @FrostyTheSkid: Put this on the news. https://t.co/YfXB2x6bcz
RT @DaveVescio: I saw a guy at Starbucks today. No iPhone. No tablet. No laptop. He just sat there. Drinking coffee. Like a Psychopath.
Key Insights & Takeaways
He maintains a large and active follower base with high engagement. His content often includes personal updates and appreciation for his audience. He uses Twitter as a platform to connect with fans and share information about his life and projects.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 232,151
- + 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 @sinbadbad reveals an exceptionally influential Twitter presence with 232,151 followers. The account demonstrates a content-creator strategy, averaging 1,577.8 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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