STOFF
STOFF & @dragmeoutband 💘 New Album “DEMONS AWAY” is OUT NOW! Listen/Purchase here ⤵️:
66,694
Followers
68
Following
9,430
Tweets
309.1
Avg Engagement
104
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @realdstoff'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:2010-02-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,186
- Avg Likes per Tweet:229.0
- Avg Retweets per Tweet:80.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,186 tweetsThe account has a moderate to high engagement rate, with an average of 2,092 likes and 790 retweets per tweet. This suggests a dedicated and active fan base that interacts with their content regularly.
229.0
Avg Likes/Tweet
80.1
Avg Retweets/Tweet
729,710
Total Likes
255,229
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
83
Median Likes
26
Median Retweets
509
75th Percentile
18,621
Top Tweet
4.64
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
79.9%
Original
12.1%
Replies
7.1%
Retweets
0.9%
Quotes
0.0%
Threads
1.5%
With Media
69.6%
With Links
13.3%
With #Tags
29.8%
With @Mentions
45.2%
With Emojis
82
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,186 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 225 retweets (7% 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 3,186 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 10,000 followersThe audience appears to be music enthusiasts, fans of STOFF and dragmeoutband, and individuals interested in personal storytelling and raw, honest content. They are likely aged 18-35 and engaged with both music and lifestyle topics.
Average
Audience Quality
22.7%
Suspicion Index
24.0%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.9%
Empty Bio
29.2%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
52.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.6%
No URL
18.1%
<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.
19,748,550
Total Potential Reach
18
Median Follower Reach
82
75th Percentile Reach
3.0%
>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).
46.6%
Creators
4,664 accounts
24.1%
Consumers
2,411 accounts
29.2%
Dormant
2,925 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):
21
Verified Followers
0.21% of total
1,097
Protected Accounts
10.97% of total
5 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 | 14,094,164 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KameronBennett | 1,810,307 | DJ | Music, DJing, Booking |
| @solalexasch | 680,858 | Musician | Music, Travel, Tattoos |
| @Loudwire | 546,408 | Music Journalist | Rock, Metal, Subculture |
| @BLABBERMOUTHNET | 251,041 | Music News | Heavy Metal, Hard Rock, News |
| @cinematnicmusic | 243,974 | - | - |
| @Toribridges10 | 140,533 | Entertainment | Reality TV, Producer, Modeling |
| @Cody_Perez | 107,569 | Gamer | Gaming, Esports, Streaming |
| @Tarhuna69 | 84,602 | Influencer | Libyan, Proud, Tarhuna |
| @AshleyMartin901 | 41,167 | A&R | Music, A&R, Independent |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,012
Followers With Bio
2,988
Followers Without Bio
70.12%
% With Bio
29.88%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,186 analyzed49,052
Combined Engagement
3,070
Total Likes
45,982
Total Retweets
9,810
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
0%
With Links
Topical Analysis:
RT @wizkhalifa: Everybody deserves to be comfortable with who they are and know there are people in the world exactly like them.
RT @wizkhalifa: Smokin pot & plotting some very dope moves.
RT @wizkhalifa: Move gracefully and keep the weed lit.
RT @wizkhalifa: I wish love and self knowledge on those who find other people's lives more interesting than their own.
People will fuck you up and then act like it's your fault. Just don't stress.
Key Insights & Takeaways
The account frequently shares updates about their music and band activities, indicating a strong focus on promotion and fan interaction. They also post personal reflections and candid statements, which help build a deeper connection with their audience. There is a mix of promotional and personal content, suggesting a balance between professional and personal branding.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 66,694
- + 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 @realdstoff reveals an well-established Twitter presence with 66,694 followers. The account demonstrates a content-creator strategy, averaging 309.1 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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