Kelvin Banks Jr🎸
OL @texasfootball
12847
Followers
1031
Following
723
Tweets
812,0
Avg Engagement
50
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kelvinbanksjr12'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:2018-04-15
- Verification:No
- Location:Houston, TX
Data Summary
- Tweets Analyzed:693
- Avg Likes per Tweet:168,5
- Avg Retweets per Tweet:643,5
- Followers Analyzed:12749
Engagement Analysis
Based on 693 tweetsKelvinbanksjr12's tweets receive an average of 3,756 likes and 348 retweets, indicating strong support from his followers. His content is well-received and often shared within the sports community.
168,5
Avg Likes/Tweet
643,5
Avg Retweets/Tweet
116754
Total Likes
445971
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
16
Median Retweets
160
75th Percentile
217939
Top Tweet
63,21
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
17,2%
Original
12,6%
Replies
59,9%
Retweets
10,4%
Quotes
0,0%
Threads
0,4%
With Media
75,6%
With Links
34,9%
With #Tags
81,7%
With @Mentions
33,5%
With Emojis
120
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,73
Reply/Original Ratio
0,17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69,8%
Weekday Posts
30,2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 693 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 415 retweets (60% 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 693 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 12749 followersHis audience primarily consists of sports fans, particularly those interested in college football and Texas athletics. The followers are likely young adults and students who follow college sports closely.
Good
Audience Quality
17,8%
Suspicion Index
18,9%
Low-Quality %
136
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31,8%
Empty Bio
10,6%
<10 Tweets
20,2%
Mass Following (>2K)
0,0%
New (<90 days)
32,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
81,3%
No URL
6,0%
<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.
48470182
Total Potential Reach
136
Median Follower Reach
419
75th Percentile Reach
12,7%
>1K followers
3,3%
>10K followers
0,7%
>50K followers
0,4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72,1%
Creators
9188 accounts
17,3%
Consumers
2209 accounts
10,6%
Dormant
1352 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):
186
Verified Followers
1.46% of total
1116
Protected Accounts
8.75% of total
7 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 | 14106636 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201226 | - | - |
| @NadirOfc | 1201841 | - | - |
| @jakecardiff401 | 1193150 | Musician | Music, Dreaming |
| @GeorgiaFootball | 1107163 | Football Team | Football, Georgia, Commitment |
| @workwthecoach | 878125 | - | - |
| @ozatasomer | 763198 | - | - |
| @John_Cardiff_ | 714887 | Musician | Music, Spotify, Apple Music |
| @CardiffBros | 662671 | Musicians | music, fashion, lifestyle |
| @Lane_Kiffin | 630130 | Coach | Football, Coaching, Ole Miss |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8691
Followers With Bio
4058
Followers Without Bio
68.17%
% With Bio
31.83%
% 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 693 analyzed355336
Combined Engagement
0
Total Likes
355336
Total Retweets
71067
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @xaviurpatterson: retweet if youll do anything for this women https://t.co/mXrhi02ols
RT @zaylon_t: Retweet if You LOVE YOUR MOM!! https://t.co/1KUlduqzFK
RT @ArchManning: Committed to the University of Texas. #HookEm https://t.co/jHYbjBaF5K
RT @sgellison: Ray Lewis gave this speech after losing the AFC championship game 8 years ago. All 31 teams that fall short this season would be wise to follow his counsel, and not just because the Ravens won the Super Bowl the following year. CLASSIC speech. Maybe his best ever.
RT @SportsCenter: Breaking: The Panthers announced they have agreed to terms with QB Cam Newton. He's back. https://t.co/I9tcl4DySX
Key Insights & Takeaways
He frequently shares personal achievements and recognition, which helps build his personal brand. His tweets often include links to media or articles, suggesting a focus on visibility and promotion. He uses motivational and grateful language, which resonates with his audience and reinforces his positive image.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12847
- + 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 @Kelvinbanksjr12 reveals an well-established Twitter presence with 12847 followers. The account demonstrates a content-creator strategy, averaging 812,0 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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