1,871,257
Followers
1,867
Following
5,371
Tweets
2,859.3
Avg Engagement
2,333
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JManziel2'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: Mega Influencer (1M+)
- Account Age:2011-07-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:1,792.0
- Avg Retweets per Tweet:1,067.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,187 tweetsHis tweets consistently receive a high number of likes and retweets, indicating a highly engaged and supportive audience.
1,792.0
Avg Likes/Tweet
1,067.3
Avg Retweets/Tweet
5,711,096
Total Likes
3,401,617
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
45
Median Likes
32
Median Retweets
1,251
75th Percentile
401,930
Top Tweet
1.53
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
31.0%
Original
43.0%
Replies
17.0%
Retweets
8.9%
Quotes
0.0%
Threads
0.2%
With Media
29.5%
With Links
18.5%
With #Tags
75.1%
With @Mentions
13.9%
With Emojis
71
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.39
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.2%
Weekday Posts
32.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 543 retweets (17% 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 3,187 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 50,000 followersHis followers likely include sports fans, especially those interested in football, and individuals looking for positive and motivational content.
Average
Audience Quality
20.9%
Suspicion Index
26.0%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.4%
Empty Bio
19.3%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
46.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
12.6%
<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.
109,406,633
Total Potential Reach
58
Median Follower Reach
213
75th Percentile Reach
4.5%
>1K followers
0.7%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.1%
Creators
30,547 accounts
19.6%
Consumers
9,780 accounts
19.3%
Dormant
9,673 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):
1,267
Verified Followers
1.27% of total
12,831
Protected Accounts
12.83% 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 |
|---|---|---|---|
| @netflix | 21,708,681 | Entertainment | Cardi B, Netflix, Petition |
| @JohnCena | 14,105,441 | Wrestler | Wrestling, Motivation, Self-promotion |
| @1future | 7,682,732 | Rapper | Music, Freebandz, Future |
| @LoganPaul | 6,809,309 | Influencer | Vlogging, Comedy, Fitness |
| @jakepaul | 4,597,298 | Boxer | Boxing, Influencer, Content Creator |
| @MetroBoomin | 4,138,657 | Music Producer | Music, Producer, Blessed |
| @Banks | 2,815,370 | Gamer | gaming, internet, music |
| @DrDisrespect | 2,513,689 | Gamer | Video games, competition, sponsorship |
| @NICKMERCS | 2,092,873 | Gamer | Gaming, Streaming, Esports |
| @hodgetwins | 1,917,567 | Comedians | Merch, Giveaways, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,551
Followers With Bio
39,449
Followers Without Bio
60.55%
% With Bio
39.45%
% 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 3,187 analyzed1,331,096
Combined Engagement
939,295
Total Likes
391,801
Total Retweets
266,219
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
I’ve got 5 signed jerseys that I want to give away. Whoever likes this post I’ll pick randomly and get you a jersey. Stay blessed!
RT @JColeNC: New album. KOD 4/20
Went about as well as my time in the league 🤦🏻♂️ https://t.co/e9PfTrD9a6
Seven years later and you’re still as big of a bitch as ever https://t.co/fWXv2u8wzj
No lie.. I was a douche in 2016 I'm just trying to be a good PERSON again#LostInTheSauce
Key Insights & Takeaways
He uses giveaways to boost engagement and build a loyal fanbase. He openly shares personal growth and past mistakes, which adds authenticity to his brand. His focus on football and career updates suggests a strong connection to the sports community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,871,257
- + High community engagement through conversations
- + 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 @JManziel2 reveals an exceptionally influential Twitter presence with 1,871,257 followers. The account demonstrates a conversation-first approach, averaging 2,859.3 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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