Dappy
695,062
Followers
2,062
Following
18,571
Tweets
479.8
Avg Engagement
758
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheDappy'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:2011-06-05
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,082
- Avg Likes per Tweet:76.5
- Avg Retweets per Tweet:403.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,082 tweetsThe account shows consistent engagement with an average of over 5,000 likes per tweet, indicating a loyal and active follower base. Retweets are also relatively high, suggesting a community that shares and interacts with the content.
76.5
Avg Likes/Tweet
403.2
Avg Retweets/Tweet
235,866
Total Likes
1,242,774
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
78
75th Percentile
549,196
Top Tweet
0.69
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
33.7%
Original
7.5%
Replies
49.9%
Retweets
8.9%
Quotes
0.0%
Threads
0.1%
With Media
46.9%
With Links
6.9%
With #Tags
61.0%
With @Mentions
53.0%
With Emojis
71
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,082 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 1,539 retweets (50% 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 3,082 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 followersTheDappy likely targets a broad audience interested in trending topics and social issues. Their content appears to resonate with younger demographics due to the use of slang and casual tone.
Average
Audience Quality
26.3%
Suspicion Index
33.8%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.2%
Empty Bio
31.8%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
54.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
21.5%
<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.
74,067,575
Total Potential Reach
26
Median Follower Reach
140
75th Percentile Reach
5.0%
>1K followers
0.8%
>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).
46.2%
Creators
23,100 accounts
22.0%
Consumers
11,011 accounts
31.8%
Dormant
15,889 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):
478
Verified Followers
0.48% of total
13,030
Protected Accounts
13.03% 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 | 14,105,205 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wossy | 4,892,802 | TV Presenter | self-indulgent, Instagram, life |
| @patorankingfire | 4,048,604 | Musician | Music, Reggae, Booking |
| @JoeyEssex_ | 3,076,803 | Reality TV Star | Reality TV, Fashion, Business |
| @officialtulisa | 2,957,475 | Singer | Music, Fashion, Beauty |
| @Behzinga | 2,872,261 | YouTuber | Gaming, Football, Content Creation |
| @LeighFrancis | 2,739,107 | Comedian | TV, Comedy, Entertainment |
| @ZerkaaHD | 2,364,789 | YouTuber | Gaming, Sidemen, Clothing |
| @lottietommo | 2,353,033 | - | - |
| @Tyson_Fury | 2,248,038 | Boxer | Boxing, Fitness, Motivation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,153
Followers With Bio
48,847
Followers Without Bio
51.15%
% With Bio
48.85%
% 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 3,082 analyzed909,272
Combined Engagement
0
Total Likes
909,272
Total Retweets
181,854
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @netflix: When Instagram & Facebook are down. https://t.co/mVFlVOOCOC
RT @IkoroduB: We love this song so much so we did our version, Please retweet😭🙏 till @RoddyRicch sees this https://t.co/leP92KOv2w
RT @SeveAkaSwave: This is my little brother. He been missing for 3 weeks as of today now. Please help me and my family find him, one retwee…
RT @FCBarcelona: Unrepeatable 🐐 https://t.co/xpWRDlHyCq
Key Insights & Takeaways
TheDappy's content often includes casual and slang-laden language, which may appeal to younger audiences. Their tweets frequently touch on social and political issues, indicating a focus on current events and activism. The use of hashtags like #EndSARS suggests a connection to specific movements or causes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 695,062
- + 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 @TheDappy reveals an well-established Twitter presence with 695,062 followers. The account demonstrates a content-creator strategy, averaging 479.8 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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