58,022
Followers
556
Following
15,680
Tweets
1,421.7
Avg Engagement
188
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MagsGotSwag12'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:2011-10-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,112
- Avg Likes per Tweet:128.7
- Avg Retweets per Tweet:1,293.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,112 tweetsHer tweets receive an average of 3,291 likes and 312 retweets, indicating a highly engaged audience. The consistent interaction suggests her content resonates well with her followers.
128.7
Avg Likes/Tweet
1,293.0
Avg Retweets/Tweet
400,532
Total Likes
4,023,708
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
13
Median Retweets
269
75th Percentile
285,440
Top Tweet
24.5
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
22.0%
Original
9.0%
Replies
58.6%
Retweets
10.3%
Quotes
0.0%
Threads
0.4%
With Media
71.9%
With Links
16.0%
With #Tags
69.9%
With @Mentions
40.6%
With Emojis
107
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,112 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 1,824 retweets (59% 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 3,112 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 followersHer followers likely include sports enthusiasts, fans of gymnastics, and individuals interested in athlete stories and media coverage. The audience appears to be engaged with both personal and professional content.
Average
Audience Quality
21.6%
Suspicion Index
24.8%
Low-Quality %
84
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.2%
Empty Bio
17.3%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
43.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
11.4%
<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.
22,824,010
Total Potential Reach
84
Median Follower Reach
285
75th Percentile Reach
7.9%
>1K followers
1.0%
>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).
66.8%
Creators
6,677 accounts
16.0%
Consumers
1,596 accounts
17.3%
Dormant
1,727 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):
60
Verified Followers
0.6% of total
1,656
Protected Accounts
16.56% 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 | 14,076,030 | Wrestler | Wrestling, Motivation, Self-promotion |
| @silviaolmedo | 880,904 | Psychologist | Psychology, TV, Writing |
| @TristanSnell | 434,030 | Lawyer | Law, Business, Commentary |
| @Moreno | 428,785 | Influencer | Business, Manager, Serious |
| @OsricChau | 422,508 | Actor | acting, gaming, mental health |
| @PaulaReidCNN | 279,650 | Journalist | Law, Legal, News |
| @OfficialJok1 | 179,027 | Musician | Music, Sun, Rock |
| @ChadPergram | 154,879 | Journalist | Congress, FOX News, Capitol Hill |
| @RealJtHolmes | 144,444 | Entrepreneur | Fashion, Music, Arizona |
| @gilliankemmerer | 133,727 | Sports Journalist | KHL, kdrama, archery |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,175
Followers With Bio
3,825
Followers Without Bio
61.75%
% With Bio
38.25%
% 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 3,112 analyzed1,026,802
Combined Engagement
0
Total Likes
1,026,802
Total Retweets
205,360
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @shidaneee: me minutes before my exam https://t.co/YiU1FctQoj
RT @VinceGoodwill: This one damn near broke me https://t.co/hdAwOKBrWl
RT @MileyCyrus: 10 years later ..... https://t.co/Lm8VD5AVxa
RT @jenaengelbert: Why ASAP look like scooby doo when he was trying to sneak on the airplane to spooky island??? https://t.co/fR2AtsKZBK
RT @JColeNC: Time always tell the truth
Key Insights & Takeaways
She leverages her platform to share personal milestones and achievements, such as her collaboration with Jumpman23. Her content often includes links to external media, suggesting she uses Twitter to promote other platforms and projects. She is involved in or connected to significant media projects, such as the Athlete A documentary, which may drive interest and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,022
- + 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 @MagsGotSwag12 reveals an exceptionally influential Twitter presence with 58,022 followers. The account demonstrates a content-creator strategy, averaging 1,421.7 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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