B. Radley
Defensive Analyst at the University of Southern California
59,684
Followers
1,748
Following
19,454
Tweets
3,083.7
Avg Engagement
92
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Bookie_44'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:2013-02-09
- Verification:No
- Location:Inglewood, CA
Data Summary
- Tweets Analyzed:3,099
- Avg Likes per Tweet:290.2
- Avg Retweets per Tweet:2,793.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,099 tweetsThe account has high engagement with an average of 7,894 likes and 1,888 retweets per tweet, indicating a dedicated and active follower base.
290.2
Avg Likes/Tweet
2,793.5
Avg Retweets/Tweet
899,358
Total Likes
8,657,168
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
478
Median Retweets
2,280
75th Percentile
488,882
Top Tweet
51.67
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
17.9%
Original
1.1%
Replies
78.9%
Retweets
2.1%
Quotes
0.0%
Threads
0.0%
With Media
21.7%
With Links
13.4%
With #Tags
81.2%
With @Mentions
16.4%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,099 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 2,444 retweets (79% 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 3,099 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 10,000 followersThe audience primarily consists of sports enthusiasts and college football fans, likely including students, coaches, and analysts.
Good
Audience Quality
15.2%
Suspicion Index
16.2%
Low-Quality %
159
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.7%
Empty Bio
11.2%
<10 Tweets
16.2%
Mass Following (>2K)
0.0%
New (<90 days)
27.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.6%
No URL
6.6%
<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.
36,921,890
Total Potential Reach
159
Median Follower Reach
410
75th Percentile Reach
9.6%
>1K followers
1.6%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.8%
Creators
6,976 accounts
19.1%
Consumers
1,907 accounts
11.2%
Dormant
1,117 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):
148
Verified Followers
1.48% of total
929
Protected Accounts
9.29% of total
6 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 | 14,075,202 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Yg_Trece | 2,459,193 | Basketball Player | Basketball, Motivation, Packgang |
| @RGIII | 2,191,391 | Athlete | Family, Football, Advocacy |
| @gherbo | 2,147,996 | Rapper | Music, Survivor's Remorse, Booking |
| @Mathieu_Era | 1,276,675 | Football Player | Football, Defense, Leadership |
| @TeamJuJu | 1,168,765 | Football Player | Football, Business, Entertainment |
| @WorldWideWob | 1,104,997 | Sports Analyst | NBA, Basketball, Fantasy Sports |
| @Bridget | 487,652 | Podcaster | Reality TV, Beaches, Paranormal |
| @BraxtonMiller5 | 466,586 | Athlete | Football, Samsung, Galaxy |
| @ttrulss | 431,890 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,426
Followers With Bio
2,574
Followers Without Bio
74.26%
% With Bio
25.74%
% 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 3,099 analyzed1,514,399
Combined Engagement
0
Total Likes
1,514,399
Total Retweets
302,880
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @kobebryant: Continuing to move the game forward @KingJames. Much respect my brother 💪🏾 #33644
RT @OfficialMLK3: As my father explained during his lifetime, a riot is the language of the unheard.
RT @kobebryant: Last night was the final chapter to an incredible story. I walk away at peace knowing my love for the game & this city will never be broken.
RT @LyndaNwaizu: This Oscar winning short film about #Kobe hit different right now. RIP https://t.co/P0bifk7Zkc
RT @NipseyHussle: Having strong enemies is a blessing.
Key Insights & Takeaways
The account frequently shares content related to football strategy and analysis. It has a verified status, though only 1.5% of followers are verified. Some tweets are withheld due to copyright issues, suggesting potential content disputes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,684
- + 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 @Bookie_44 reveals an exceptionally influential Twitter presence with 59,684 followers. The account demonstrates a content-creator strategy, averaging 3,083.7 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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