zoey
55,654
Followers
4,822
Following
11,773
Tweets
32.7
Avg Engagement
182
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @justzoey'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:2009-12-22
- Verification:No
- Location:Miami, FL
Data Summary
- Tweets Analyzed:314
- Avg Likes per Tweet:25.6
- Avg Retweets per Tweet:7.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 314 tweetsTheir tweets receive moderate engagement with an average of 397 likes and 74 retweets. The content seems to resonate with their followers on a personal level.
25.6
Avg Likes/Tweet
7.1
Avg Retweets/Tweet
8,042
Total Likes
2,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
23
75th Percentile
2,250
Top Tweet
0.59
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
57.3%
Original
16.2%
Replies
15.0%
Retweets
11.5%
Quotes
0.0%
Threads
0.0%
With Media
27.1%
With Links
1.3%
With #Tags
32.2%
With @Mentions
26.1%
With Emojis
65
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.7%
Weekday Posts
22.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 314 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 47 retweets (15% 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 314 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 followersThe audience appears to be friends and followers interested in everyday life and humor. They likely enjoy casual, authentic interactions.
Good
Audience Quality
18.4%
Suspicion Index
16.1%
Low-Quality %
124
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.9%
Empty Bio
16.7%
<10 Tweets
18.9%
Mass Following (>2K)
0.0%
New (<90 days)
35.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
71.8%
No URL
9.3%
<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.
330,777,955
Total Potential Reach
124
Median Follower Reach
503
75th Percentile Reach
14.5%
>1K followers
2.9%
>10K followers
1.0%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.3%
Creators
31,150 accounts
21.0%
Consumers
10,489 accounts
16.7%
Dormant
8,361 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):
660
Verified Followers
1.18% of total
5,483
Protected Accounts
9.76% 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 |
|---|---|---|---|
| @Diddy | 15,273,268 | Musician | Music, Entrepreneurship, Fashion |
| @JohnCena | 14,106,883 | Wrestler | Wrestling, Motivation, Self-promotion |
| @davido | 13,377,388 | Musician | music, album, inquiries |
| @wizkidayo | 11,766,648 | Musician | Music, Fashion, Africa |
| @MeekMill | 11,487,986 | Rapper | music, hustle, positivity |
| @burnaboy | 8,345,981 | Musician | Music, Afrobeat, Nigeria |
| @chancetherapper | 7,955,407 | Musician | music, video, directing |
| @1future | 7,687,536 | Rapper | Music, Freebandz, Future |
| @DONJAZZY | 7,557,824 | Music Producer | Music, Mavin, Activated |
| @theestallion | 7,519,243 | Rapper | Music, Houston, Hot Girl Summer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,311
Followers With Bio
12,848
Followers Without Bio
77.12%
% With Bio
22.88%
% 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 314 analyzed3,694
Combined Engagement
3,277
Total Likes
417
Total Retweets
739
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
I feel like you said well well well better 🤷🏾♂️ but that’s me resha.. https://t.co/xnkbPBD5Gb
Home. https://t.co/pvk8TZBRPE
This sweet lady made my whole morning , because I remember eating this shit almost every morning before going to school 😂🤞🏾❤️ https://t.co/X9eHWpFt63
@YungMiami305 Until next time somebody say sumn bout my dawg, I’m out. https://t.co/kJd7HZMb5f
Im scared of me, once I’m over u it’s like you’re dead.
Key Insights & Takeaways
They often share personal and humorous anecdotes, which may contribute to their engagement. Their tweets include links, suggesting they may share content from other platforms or personal media. They have a small but active following, indicating a focused and engaged audience.
Strengths
- + Established follower base of 55,654
- + 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 @justzoey reveals an growing Twitter presence with 55,654 followers. The account demonstrates a content-creator strategy, averaging 32.7 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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