WTF
59,972
Followers
707
Following
15,959
Tweets
47.5
Avg Engagement
37
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WTF_DBN'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:2014-04-18
- Verification:No
- Location:Johannesburg, South Africa
Data Summary
- Tweets Analyzed:2,976
- Avg Likes per Tweet:2.8
- Avg Retweets per Tweet:44.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,976 tweetsThe account maintains a consistent level of engagement with an average of 200 likes and 64 retweets per tweet, indicating a loyal and active fan base.
2.8
Avg Likes/Tweet
44.7
Avg Retweets/Tweet
8,435
Total Likes
133,048
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
5
75th Percentile
40,706
Top Tweet
0.79
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
15.3%
Original
16.7%
Replies
66.1%
Retweets
1.9%
Quotes
0.0%
Threads
0.1%
With Media
49.5%
With Links
44.7%
With #Tags
88.5%
With @Mentions
42.2%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.09
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.2%
Weekday Posts
16.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,976 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,967 retweets (66% 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 2,976 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 and fans of electronic or hip-hop genres, given the references to music videos and digital releases.
Average
Audience Quality
21.6%
Suspicion Index
18.8%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.4%
Empty Bio
23.7%
<10 Tweets
16.0%
Mass Following (>2K)
0.0%
New (<90 days)
45.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.9%
No URL
12.3%
<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.
5,204,228
Total Potential Reach
61
Median Follower Reach
234
75th Percentile Reach
7.5%
>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).
42.0%
Creators
4,203 accounts
34.3%
Consumers
3,427 accounts
23.7%
Dormant
2,370 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):
1
Verified Followers
0.01% of total
477
Protected Accounts
4.77% 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 |
|---|---|---|---|
| @DonaldInDenial | 580,594 | Singer | Music, R&B, South Africa |
| @aliciagrimes71 | 493,591 | Influencer | Youtube influencers, Music, Magazine |
| @missZwanga | 352,316 | Influencer | Fashion, Faith, Zimbabwe |
| @mzokoloko | 210,801 | Entertainer | MC, DJ, Voiceover Artist |
| @BombaAfrika | 121,939 | Musician | Music, Album, Digital Platforms |
| @DJSOXsa | 104,400 | DJ | Music, DJing, Bookings |
| @Ikwekwezi_FM | 76,296 | Radio station | Music, Radio, Podcasts |
| @therealnocy_jay | 50,167 | Influencer | South Africa, bookings, fashion |
| @_nasty_csa__ | 47,596 | Fan Page | Music, Fan page, South Africa |
| @iThando__ | 44,487 | Influencer | Fashion, Centurion, Self-belief |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,462
Followers With Bio
2,538
Followers Without Bio
74.62%
% With Bio
25.38%
% 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 2,976 analyzed97,190
Combined Engagement
0
Total Likes
97,190
Total Retweets
19,438
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @trvisXX: Thank u God for waking me up today
RT @theweeknd: let all the young niggas win.
RT @CassperNyovest: History was made!!! Soccer city stadium was filled!!! 68000 tickets sold!!! Thank you!!! I love you!!!! God is good all the time!!! #FillUpFnbStadium https://t.co/BC9k9MX8JN
RT @RealBlackCoffee: Let's RT just nje for the Legendary Gogo and the Culture #esthermahlangu 🙏🏿🙏🏿🙏🏿🙏🏿🙏🏿 https://t.co/8GdKwayG86
RT @RealMgarimbe: Guys I Need 2000 Retweets To open for @Migos concert! 🙏🏿🙏🏿🙏🏿🙏🏿🙏🏿 South Africa Please do best. Thanks advance https://t.co/EjdQlsWXZY
Key Insights & Takeaways
The account frequently shares links to music videos and digital releases, suggesting a focus on promoting their content. They collaborate with artists like @Moshine_Magnif, indicating a network within the music industry. The use of emojis and energetic language highlights a vibrant and passionate brand voice.
Strengths
- + Established follower base of 59,972
- + High community engagement through conversations
- + 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 @WTF_DBN reveals an growing Twitter presence with 59,972 followers. The account demonstrates a conversation-first approach, averaging 47.5 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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