Diontae Johnson
- God 1st @qcsports
132,441
Followers
692
Following
13,726
Tweets
3,169.4
Avg Engagement
335
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Juiceup__3'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:2012-06-26
- Verification:No
- Location:Tampa, FL
Data Summary
- Tweets Analyzed:3,109
- Avg Likes per Tweet:354.7
- Avg Retweets per Tweet:2,814.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,109 tweetsJuiceup__3's tweets receive high average likes and retweets, indicating strong audience interaction. The content often includes personal appreciation and calls for support, which drive engagement.
354.7
Avg Likes/Tweet
2,814.6
Avg Retweets/Tweet
1,102,887
Total Likes
8,750,654
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
64
Median Retweets
1,306
75th Percentile
218,915
Top Tweet
23.93
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
17.9%
Original
7.1%
Replies
67.8%
Retweets
7.1%
Quotes
0.0%
Threads
0.2%
With Media
54.8%
With Links
19.4%
With #Tags
75.5%
With @Mentions
43.3%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,109 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 2,109 retweets (68% 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 3,109 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 followersTheir audience likely includes sports fans, particularly those interested in football, and individuals who value faith-based content. The engagement suggests a loyal and active community.
Average
Audience Quality
25.7%
Suspicion Index
32.7%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.3%
Empty Bio
30.5%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
56.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
20.2%
<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.
41,846,739
Total Potential Reach
21
Median Follower Reach
111
75th Percentile Reach
3.2%
>1K followers
0.3%
>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
22.6%
Consumers
11,319 accounts
30.5%
Dormant
15,236 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):
469
Verified Followers
0.46% of total
10,579
Protected Accounts
10.48% 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 |
|---|---|---|---|
| @NFL | 32,989,580 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,101,434 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AdamSchefter | 10,351,176 | Sports Journalist | NFL, Insider, Podcast |
| @NFLonFOX | 3,694,430 | Sports Media | Football, NFL, Sports |
| @DezBryant | 3,495,691 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @JASMINEVILLEGAS | 1,544,254 | Singer | Music, Dreaming, Life |
| @Mathieu_Era | 1,285,996 | Football Player | Football, Defense, Leadership |
| @SNFonNBC | 1,184,217 | Sports Broadcaster | Football, NFL, Primetime |
| @WhistleBlitz | 1,153,744 | - | - |
| @SalVulcano | 1,107,899 | Comedian | Comedy, Improv, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,620
Followers With Bio
43,369
Followers Without Bio
57.06%
% With Bio
42.94%
% 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 3,109 analyzed983,398
Combined Engagement
0
Total Likes
983,398
Total Retweets
196,680
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @rileykennedyyy: rt in 5 secs or bad luck will happen https://t.co/Qo751zvr0g
RT @dallas_painter: Retweet or 5 years bad luck https://t.co/iIhilBVzUk
RT @RobertIrwin: Dad and me feeding Murray... same place, same croc - two photos 15 years apart ❤️🐊 https://t.co/9Ybp5AnTOI
RT @dildil2gilgil: For every RT, MHS Interact will donate $1 to crutches 4 Africa up to $1000. Every RT and donation will save lives. https…
RT @SinghClairr: Have y’all seen this? 😱😱🤯 https://t.co/XYP7R4SCs9
Key Insights & Takeaways
The user frequently acknowledges supporters and expresses gratitude, which fosters a sense of community and loyalty. Their tweets often include hashtags and links, suggesting a strategic approach to content sharing and audience engagement. The presence of religious and faith-based language indicates a core value of spirituality in their content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 132,441
- + 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 @Juiceup__3 reveals an exceptionally influential Twitter presence with 132,441 followers. The account demonstrates a content-creator strategy, averaging 3,169.4 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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