samaje perine
NFL running back @MeganLeigh032 ❤ #BoomerSooner
82,480
Followers
1,310
Following
2,549
Tweets
201.3
Avg Engagement
210
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @samajp32'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:2011-10-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,398
- Avg Likes per Tweet:44.0
- Avg Retweets per Tweet:157.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,398 tweetsThe account shows consistent engagement with a high average number of likes and retweets, indicating a loyal and active follower base. The top tweets are highly shared, suggesting they resonate strongly with the audience.
44.0
Avg Likes/Tweet
157.3
Avg Retweets/Tweet
105,472
Total Likes
377,228
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
118,762
Top Tweet
2.44
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
38.5%
Original
38.2%
Replies
22.9%
Retweets
0.5%
Quotes
0.0%
Threads
0.2%
With Media
12.6%
With Links
11.5%
With #Tags
79.9%
With @Mentions
8.3%
With Emojis
60
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.99
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
60.1%
Weekday Posts
39.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,398 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 548 retweets (23% 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 2,398 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 is primarily fans of the University of Oklahoma and NFL enthusiasts, especially those who support the Boomer Sooner movement. They are likely to be young adults and college-aged individuals with a passion for sports and community.
Average
Audience Quality
21.2%
Suspicion Index
28.0%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.1%
Empty Bio
19.7%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
46.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
12.8%
<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.
11,330,846
Total Potential Reach
48
Median Follower Reach
184
75th Percentile Reach
5.3%
>1K followers
0.7%
>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).
59.9%
Creators
5,992 accounts
20.4%
Consumers
2,042 accounts
19.7%
Dormant
1,966 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):
102
Verified Followers
1.02% of total
912
Protected Accounts
9.12% 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 |
|---|---|---|---|
| @Broncos | 2,765,250 | Sports Team | Football, Super Bowl, Champions |
| @brgridiron | 810,367 | Sports Media | Football, Sports, News |
| @SleepSkee | 707,124 | Musician | Music, Independent, Artist |
| @solalexasch | 681,375 | Musician | Music, Travel, Tattoos |
| @PlayersTribune | 642,218 | Sports Media | Sports, Olympics, Athletes |
| @gmfb | 575,233 | Sports Analyst | Football, NFL, Morning TV |
| @SeanPayton | 433,305 | Football Coach | Football, Coaching, New Orleans Saints |
| @Moreno | 430,786 | Influencer | Business, Manager, Serious |
| @Schultz_Report | 201,012 | Sports Analyst | Sports, Analysis, Podcasts |
| @AllbrightNFL | 167,795 | Sports Analyst | Broncos, Reporter, Analyst |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,685
Followers With Bio
4,315
Followers Without Bio
56.85%
% With Bio
43.15%
% 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 2,398 analyzed235,260
Combined Engagement
19,681
Total Likes
215,579
Total Retweets
47,052
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @Marvel: “There was an idea…” Marvel Studios' "@Avengers: #InfinityWar" in theaters May 4. https://t.co/ll7LllUFaV
RT @TheDBswagger: Probably not even 25 Retweets.... http://t.co/wlVODyU6Qx
RT @Chelsea_lara: I really hope this gets around, help me find my mom. http://t.co/tLGHrN64vm
Cincinnati, I just want to say thank you accepting my family and I with open arms. We couldn’t have asked for a better home these past four years. I will always have nothing but love for you.
RT @RAHBiiiGGA: A simple retweet could get him home 😞😞 http://t.co/jxg0fhJh3X
Key Insights & Takeaways
The user is deeply connected to their university and community, which drives their content and engagement. Their tweets often include emotional and heartfelt messages, which resonate with their audience. They leverage their personal brand and identity to build a strong, loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 82,480
- + 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 @samajp32 reveals an well-established Twitter presence with 82,480 followers. The account demonstrates a content-creator strategy, averaging 201.3 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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