jwill
🎚Brooklyn Nets #22 RCJH4L🫶🏽🏁
24,035
Followers
68
Following
3,721
Tweets
353.8
Avg Engagement
72
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @thejalenwilson'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:2014-03-02
- Verification:No
- Location:dolo
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:248.8
- Avg Retweets per Tweet:105.0
- Followers Analyzed:20,195
Engagement Analysis
Based on 500 tweetsHis tweets receive an average of 4,845 likes and 331 retweets, indicating a highly engaged fan base.
248.8
Avg Likes/Tweet
105.0
Avg Retweets/Tweet
124,379
Total Likes
52,504
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
24
Median Retweets
218
75th Percentile
11,247
Top Tweet
14.72
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
11.6%
Original
7.0%
Replies
65.8%
Retweets
15.6%
Quotes
0.0%
Threads
0.4%
With Media
65.6%
With Links
17.6%
With #Tags
76.2%
With @Mentions
62.4%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 329 retweets (66% 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 500 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 20,195 followersHis followers are likely sports fans, especially those interested in the Brooklyn Nets and college basketball.
Good
Audience Quality
16.6%
Suspicion Index
22.9%
Low-Quality %
102
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.9%
Empty Bio
12.9%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
31.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
7.9%
<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.
36,971,471
Total Potential Reach
102
Median Follower Reach
305
75th Percentile Reach
6.6%
>1K followers
0.9%
>10K followers
0.2%
>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).
70.3%
Creators
14,205 accounts
16.8%
Consumers
3,394 accounts
12.9%
Dormant
2,596 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):
287
Verified Followers
1.42% of total
2,611
Protected Accounts
12.93% of total
8 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 | 14,105,675 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,038,073 | - | - |
| @MarchMadnessMBB | 1,703,810 | Sports Media | - |
| @KalaniBallFree | 1,245,453 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @LeBronJames | 1,006,079 | - | - |
| @KUHoops | 938,936 | Sports Team | Basketball, Kansas, #PayHeed |
| @bgarlinghouse | 710,240 | CEO | Cryptocurrency, Blockchain, Innovation |
| @CBBonFOX | 658,257 | Sports Commentator | College Hoops, FOX Sports, App |
| @PlayersTribune | 644,351 | Sports Media | Sports, Olympics, Athletes |
| @OU_MBBall | 579,816 | Sports Team | Basketball, Sooners, Instagram |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,548
Followers With Bio
7,647
Followers Without Bio
62.13%
% With Bio
37.87%
% 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 500 analyzed38,529
Combined Engagement
27,559
Total Likes
10,970
Total Retweets
7,706
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
NATIONAL CHAMP TALK🏆 …#TMC🏁 https://t.co/Lsg1elRFam
RT @espn: Super Bowl LVII is going to be special 🙌 https://t.co/fjtDTySqr2
My path has always been different… #TMC🏁 https://t.co/cZDR6DTHho
Thank You, Rock Chalk💙❤️… #TMC🏁 https://t.co/En1zWiK3oT
From dreaming it to living it, FINAL 4!!!!!4️⃣🏆 https://t.co/jsYgVLsa9v
Key Insights & Takeaways
He frequently uses hashtags like #TMC and emojis to connect with his audience. His top tweets include achievements like a national championship and personal reflections. He often shares gratitude and personal milestones, which resonate with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 24,035
- + 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 @thejalenwilson reveals an well-established Twitter presence with 24,035 followers. The account demonstrates a content-creator strategy, averaging 353.8 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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