Marcus Johns
Jesus First [email protected]
426,115
Followers
30,094
Following
8,220
Tweets
682.4
Avg Engagement
914
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @marcusjohns'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:2009-06-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,131
- Avg Likes per Tweet:482.9
- Avg Retweets per Tweet:199.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,131 tweetsMarcus Johns' tweets consistently receive high engagement, with an average of 14k likes and 6.8k retweets per post. This indicates a strong connection with his audience.
482.9
Avg Likes/Tweet
199.5
Avg Retweets/Tweet
1,511,918
Total Likes
624,603
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
130
Median Likes
34
Median Retweets
785
75th Percentile
74,411
Top Tweet
1.6
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
46.0%
Original
41.8%
Replies
10.4%
Retweets
1.8%
Quotes
0.0%
Threads
0.3%
With Media
29.8%
With Links
12.4%
With #Tags
59.4%
With @Mentions
37.7%
With Emojis
56
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.91
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,131 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 326 retweets (10% 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 3,131 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 appears to be a mix of friends and followers interested in relatable content and personal stories. The engagement suggests a community that appreciates both humor and heartfelt posts.
Average
Audience Quality
24.5%
Suspicion Index
28.6%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.6%
Empty Bio
31.5%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
53.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
19.6%
<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.
51,766,665
Total Potential Reach
23
Median Follower Reach
147
75th Percentile Reach
3.0%
>1K followers
0.4%
>10K followers
0.1%
>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).
46.9%
Creators
23,445 accounts
21.6%
Consumers
10,792 accounts
31.5%
Dormant
15,763 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):
169
Verified Followers
0.17% of total
12,404
Protected Accounts
12.4% 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 | 14,104,331 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NormanDesVideos | 6,823,516 | Content Creator | Videos, Stand up, Comedy |
| @PPTeamLesslie | 2,898,070 | Influencer | Fashion, Beauty, Lifestyle |
| @Pochosaurus | 2,212,662 | Influencer | Dance, Vlogs, Lifestyle |
| @KameronBennett | 1,812,902 | DJ | Music, DJing, Booking |
| @charitywater | 1,260,295 | Charity | clean water, safe drinking, global impact |
| @KalaniBallFree | 1,244,623 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @JDaIey | 1,228,583 | - | - |
| @ParisJackson | 1,213,759 | Musician | Music, Recorders, WME & IMG |
| @MilesSTEREOS | 861,492 | Musician | Guitarist, Writer, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,970
Followers With Bio
42,030
Followers Without Bio
57.97%
% With Bio
42.03%
% 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 3,131 analyzed213,979
Combined Engagement
65,647
Total Likes
148,332
Total Retweets
42,796
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @mimidickerson7: OMG IM DEAD YALL RETWEET THIS http://t.co/4iSmLnE6Uq
When you try to follow your friend but they drive like an idiot. https://t.co/Pj0EbIbDAR
RT @jeromejarre: INTERNET!! WE HAVE A PLANE!! THIS IS HISTORY!! NOW LET'S GET THE FOOD !!! 💪 ➡️ https://t.co/kxHgDzvNxY #LoveArmyForSo…
When you feel starved for love 🙈❤️@KristinJohns https://t.co/s40RaWa5Mn
Every time I do laundry... https://t.co/KCfc1zr7QH
Key Insights & Takeaways
His content often revolves around personal experiences and emotions, which resonate with followers. He frequently shares moments of vulnerability and humor, creating a sense of intimacy. Engagement is high, suggesting his audience values authenticity and relatability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 426,115
- + 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 @marcusjohns reveals an well-established Twitter presence with 426,115 followers. The account demonstrates a content-creator strategy, averaging 682.4 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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