Brandon Mebane
DT for 13 years NFL
97,846
Followers
1,015
Following
1,649
Tweets
80.1
Avg Engagement
602
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mebane92'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:2010-02-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,586
- Avg Likes per Tweet:17.1
- Avg Retweets per Tweet:63.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,586 tweetsHis tweets receive an average of 738 likes and 151 retweets, indicating a highly engaged audience. The high engagement suggests his content resonates well with his followers.
17.1
Avg Likes/Tweet
63.1
Avg Retweets/Tweet
27,059
Total Likes
100,033
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
18
75th Percentile
68,751
Top Tweet
0.82
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
44.2%
Original
20.5%
Replies
31.2%
Retweets
4.1%
Quotes
0.0%
Threads
0.4%
With Media
34.9%
With Links
33.9%
With #Tags
62.2%
With @Mentions
4.0%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.46
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.4%
Weekday Posts
23.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,586 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 495 retweets (31% 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 1,586 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 followersHis audience primarily consists of NFL fans and followers of his career journey. They are likely interested in sports, team loyalty, and personal achievements.
Average
Audience Quality
29.6%
Suspicion Index
29.1%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.5%
Empty Bio
28.5%
<10 Tweets
18.9%
Mass Following (>2K)
0.0%
New (<90 days)
67.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
17.7%
<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.
35,537,260
Total Potential Reach
29
Median Follower Reach
146
75th Percentile Reach
4.7%
>1K followers
1.2%
>10K followers
0.5%
>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).
47.2%
Creators
4,724 accounts
24.3%
Consumers
2,428 accounts
28.5%
Dormant
2,848 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):
61
Verified Followers
0.61% of total
884
Protected Accounts
8.84% 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 | 14,092,922 | Wrestler | Wrestling, Motivation, Self-promotion |
| @zlj517 | 1,973,997 | Spokesman | Geopolitics, Diplomacy, Communication |
| @KameronBennett | 1,819,740 | DJ | Music, DJing, Booking |
| @SinghLions | 1,330,764 | Restaurateur | Food, Travel, Influencer |
| @funder | 1,114,033 | Journalist | Politics, Journalism, Music |
| @EAMaddenNFL | 1,016,321 | Gaming | Gaming, Madden NFL, Tech Support |
| @Nathanapirtle | 869,418 | Entrepreneur | Digital Marketing, Strategy, Business Development |
| @ZachBoychuk | 827,925 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @solalexasch | 681,353 | Musician | Music, Travel, Tattoos |
| @kurt13warner | 625,463 | Former NFL Quarterback | Inspiring, Betterment, Striving |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,950
Followers With Bio
4,050
Followers Without Bio
59.5%
% With Bio
40.5%
% 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 1,586 analyzed79,058
Combined Engagement
1,382
Total Likes
77,676
Total Retweets
15,812
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @SportsCenter: BREAKING: It's on. Floyd Mayweather announces that he'll fight Manny Pacquiao on May 2nd at MGM Grand in Las Vegas. http://t.co/AwqI8ZkwxQ
RT @JoyceMeyer: If you want to get over a problem, stop talking about it. Your mind affects your mouth, and your mouth affects your mind.
RT @JoyceMeyer: Take some bold steps of faith and change anything the Lord leads you to change.
Superbowl
RT @LakersNation: Congrats to Kobe Bryant on becoming the youngest player in NBA history to reach 30K points. #Kobe30K http://t.co/TqU9pW1k
Key Insights & Takeaways
He leverages his NFL career to build a personal brand and connect with fans. His content often includes gratitude and recognition of teammates, which strengthens community bonds. He uses hashtags effectively to increase visibility and engagement.
Strengths
- + Established follower base of 97,846
- + 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 @Mebane92 reveals an growing Twitter presence with 97,846 followers. The account demonstrates a content-creator strategy, averaging 80.1 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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