Roschon Johnson
Business Inquiries: [email protected] •Difference maker • Texas • 2Timothy1:7•PA made
22,768
Followers
699
Following
2,234
Tweets
927.1
Avg Engagement
86
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @roschon'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:2011-07-19
- Verification:No
- Location:Austin, TX
Data Summary
- Tweets Analyzed:2,110
- Avg Likes per Tweet:63.6
- Avg Retweets per Tweet:863.5
- Followers Analyzed:15,113
Engagement Analysis
Based on 2,110 tweetsTheir tweets receive an average of 3,624 likes and 401 retweets, indicating a highly engaged audience. The top tweets often highlight significant personal milestones and achievements.
63.6
Avg Likes/Tweet
863.5
Avg Retweets/Tweet
134,108
Total Likes
1,822,057
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
89
75th Percentile
298,891
Top Tweet
40.72
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
28.9%
Original
16.3%
Replies
34.6%
Retweets
20.3%
Quotes
0.0%
Threads
0.6%
With Media
47.6%
With Links
16.1%
With #Tags
58.2%
With @Mentions
35.1%
With Emojis
65
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63.9%
Weekday Posts
36.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,110 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 730 retweets (35% 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 2,110 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 15,113 followersRoschon's audience appears to be primarily interested in business, personal development, and motivational content. They likely include professionals, students, and individuals seeking inspiration and career guidance.
Good
Audience Quality
16.0%
Suspicion Index
21.2%
Low-Quality %
133
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.8%
Empty Bio
11.5%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
30.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
6.6%
<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.
39,586,321
Total Potential Reach
133
Median Follower Reach
413
75th Percentile Reach
9.9%
>1K followers
1.6%
>10K followers
0.3%
>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).
72.6%
Creators
10,967 accounts
15.9%
Consumers
2,408 accounts
11.5%
Dormant
1,738 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):
165
Verified Followers
1.09% of total
1,841
Protected Accounts
12.18% 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 | 14,106,607 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,289 | - | - |
| @KameronBennett | 1,810,228 | DJ | Music, DJing, Booking |
| @soledadobrien | 1,320,635 | Journalist | working, mom, journalist |
| @ZachBoychuk | 831,205 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @KendrickPerkins | 677,573 | Basketball Player | Basketball, Country, Individualism |
| @CoachSchuman | 589,440 | Football Coach | Football, Recruiting, Motivation |
| @BraxtonMiller5 | 472,261 | Athlete | Football, Samsung, Galaxy |
| @CFBONFOX | 453,539 | Sports Media | College Football, FOX Sports, App |
| @TexasFootball | 385,504 | Sports Team | Football, Texas, HookEm |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,697
Followers With Bio
5,416
Followers Without Bio
64.16%
% With Bio
35.84%
% 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 2,110 analyzed788,867
Combined Engagement
0
Total Likes
788,867
Total Retweets
157,773
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Stranger_Things: From Russia with love… https://t.co/ZWEMgy63Et
RT @SizweDiba: Judge for yourself....when is gonna?😭 #icantbreathe #GeorgeFloyd https://t.co/72XyRaTlGe
RT @airjunebug: When New Yorkers hear a violin 🤣🔥🎻 https://t.co/HEjW3D3pge
RT @sardonyy: https://t.co/20DZf1FeqV
RT @donwill: the cops who killed Elijah got fired for joking about the crimes they committed and not arrested for murdering a person
Key Insights & Takeaways
Roschon actively promotes personal and professional growth through their content. They leverage their verified status to build credibility and trust with their audience. Their engagement metrics suggest a strong and loyal following interested in business and motivational topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 22,768
- + 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 @roschon reveals an well-established Twitter presence with 22,768 followers. The account demonstrates a content-creator strategy, averaging 927.1 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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