148,548
Followers
1,375
Following
66,072
Tweets
290.5
Avg Engagement
558
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djspinz'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:2009-01-26
- Verification:No
- Location:Atlanta, Ga
Data Summary
- Tweets Analyzed:3,043
- Avg Likes per Tweet:6.8
- Avg Retweets per Tweet:283.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,043 tweetsThe average engagement per tweet is moderate, with a balance between likes and retweets, indicating a loyal but not overly active audience. The verified status at 0.5% suggests limited official validation of the account.
6.8
Avg Likes/Tweet
283.7
Avg Retweets/Tweet
20,801
Total Likes
863,175
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
18
75th Percentile
322,027
Top Tweet
1.96
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
50.0%
Original
16.6%
Replies
30.7%
Retweets
2.7%
Quotes
0.0%
Threads
0.4%
With Media
47.5%
With Links
30.1%
With #Tags
62.0%
With @Mentions
22.1%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,043 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 935 retweets (31% 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 3,043 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 likely includes fans of the user's content, possibly music enthusiasts or followers of their public persona. The large follower count suggests a broad reach across various demographics.
Good
Audience Quality
18.9%
Suspicion Index
14.1%
Low-Quality %
95
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.1%
Empty Bio
14.4%
<10 Tweets
21.2%
Mass Following (>2K)
0.0%
New (<90 days)
39.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
66.5%
No URL
7.1%
<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.
78,120,447
Total Potential Reach
95
Median Follower Reach
333
75th Percentile Reach
8.5%
>1K followers
1.0%
>10K followers
0.3%
>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).
59.1%
Creators
29,534 accounts
26.5%
Consumers
13,262 accounts
14.4%
Dormant
7,204 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):
542
Verified Followers
0.54% of total
8,501
Protected Accounts
8.42% 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 | 14,101,545 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lilyachty | 5,416,829 | Rapper | Music, Fashion, Lifestyle |
| @wyclef | 3,730,503 | Musician | music, media, management |
| @G_Eazy | 3,268,115 | Rapper | music, fashion, lifestyle |
| @MCHammer | 3,180,122 | Filmmaker | #Dubnation, #RaiderNation, #FilmMaker |
| @SeanKingston | 2,828,351 | Musician | Music, Faith, New Album |
| @THEBEAT999FM | 2,395,997 | Radio Host | Entertainment, News, Sports |
| @KekePalmer | 2,299,705 | Singer | Music, Acting, Virgo |
| @6BillionPeople | 2,033,193 | - | - |
| @MarlonWayans | 1,991,777 | Actor | Comedy, Acting, Netflix |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
77,276
Followers With Bio
23,717
Followers Without Bio
76.52%
% With Bio
23.48%
% 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 3,043 analyzed576,562
Combined Engagement
0
Total Likes
576,562
Total Retweets
115,312
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @icecube: They’d rather arrest hundreds of American citizens then 3 of their own. Very telling.
This Tweet from @djspinz has been withheld in: United States.
RT @gucci1017: I'm grateful but I want more!!!
RT @NICKIMINAJ: I respond to text messages in my head. Sometimes weeks go by before I realize I didn't respond in real life. I'm working on…
RT @YG: FUCK DONALD TRUMP 🔈🔈🔈🔈
Key Insights & Takeaways
The user frequently shares content related to music and public figures, such as collaborations with artists like @1future. They emphasize themes of patience and divine timing, which resonate with followers seeking spiritual or motivational content. Their top tweets suggest a focus on storytelling and personal reflection, which may drive engagement and follower interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 148,548
- + 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 @djspinz reveals an well-established Twitter presence with 148,548 followers. The account demonstrates a content-creator strategy, averaging 290.5 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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