Cameron Magruder
Bond-servant to Jesus丨@UFJSchool Grad丨Award-winning content creator | Trying to end homelessness in Central Florida by 2050 Email➝info@scootermagruder.com
215,563
Followers
2,880
Following
48,238
Tweets
296.6
Avg Engagement
710
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ScooterMagruder'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: Macro Influencer (100K+)
- Account Age:2009-04-18
- Verification:No
- Location:Orlando, Florida
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:271.0
- Avg Retweets per Tweet:25.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets receive high engagement, with an average of 10k likes and 1.4k retweets. The content often includes personal updates and community-focused messages.
271.0
Avg Likes/Tweet
25.7
Avg Retweets/Tweet
880,078
Total Likes
83,351
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
68
Median Likes
1
Median Retweets
256
75th Percentile
35,862
Top Tweet
1.38
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
43.6%
Original
51.7%
Replies
0.5%
Retweets
4.2%
Quotes
0.0%
Threads
0.1%
With Media
22.6%
With Links
2.3%
With #Tags
50.1%
With @Mentions
8.3%
With Emojis
52
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.19
Reply/Original Ratio
8.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.0%
Weekday Posts
36.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 16 retweets (0% 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 3,248 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 audience is primarily interested in faith, social justice, and personal stories. They engage with his content due to its emotional depth and authenticity.
Average
Audience Quality
23.4%
Suspicion Index
29.1%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.5%
Empty Bio
24.7%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
52.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
16.6%
<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.
58,192,650
Total Potential Reach
29
Median Follower Reach
139
75th Percentile Reach
4.6%
>1K followers
0.6%
>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).
55.4%
Creators
27,682 accounts
19.9%
Consumers
9,945 accounts
24.7%
Dormant
12,373 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):
864
Verified Followers
0.86% of total
10,897
Protected Accounts
10.79% 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 |
|---|---|---|---|
| @TwitterSports | 14,736,067 | - | - |
| @JohnCena | 14,099,647 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TimTebow | 4,508,942 | Athlete | Sports, Faith, Philanthropy |
| @Wendys | 3,909,129 | Fast Food | Fast food, fries, tweets |
| @MLS | 3,344,905 | Sports League | Soccer, Stadiums, Stars |
| @kaj33 | 2,221,759 | Basketball Player | Basketball, Writing, Journalism |
| @pizzahut | 1,694,815 | Restaurant | Pizza, Literacy, Gaming |
| @OrlandoMagic | 1,627,767 | Sports Team | Basketball, Orlando, Brazil |
| @memgrizz | 1,583,580 | Sports Team | Basketball, Grind City, Next Generation |
| @SinghLions | 1,334,120 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,348
Followers With Bio
37,640
Followers Without Bio
62.73%
% With Bio
37.27%
% 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 3,248 analyzed88,346
Combined Engagement
64,147
Total Likes
24,199
Total Retweets
17,669
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Please pray for my dad He has cancer and is not doing well
RT @tomgrossicomedy: This is Damar Hamlin's toy drive fundraiser. As we wait for updates, just trying to do something good. https://t.co…
Justin Jefferson had 3 catches for 33 yards Never disrespect Trevon Diggs again in your lifetime
She said yes. https://t.co/ucqSIXEJl8
RT if you’ve made as many extra points as Brett Maher
Key Insights & Takeaways
He frequently shares personal and emotional updates, which drive engagement. He uses Twitter to promote his mission to end homelessness in Central Florida. His content often includes a mix of faith-based messages and real-world activism.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 215,563
- + 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 @ScooterMagruder reveals an well-established Twitter presence with 215,563 followers. The account demonstrates a conversation-first approach, averaging 296.6 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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