DJ Pauly D
DJ Pauly D 🇮🇹
3,511,880
Followers
35,829
Following
28,956
Tweets
224.3
Avg Engagement
9,877
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DJPaulyD'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: Mega Influencer (1M+)
- Account Age:2009-12-03
- Verification:No
- Location:Las Vegas, Nevada
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:189.6
- Avg Retweets per Tweet:34.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,194 tweetsHis tweets typically receive high engagement, with an average of 7,651 likes and 855 retweets per post. This indicates a loyal and active fan base that interacts regularly with his content.
189.6
Avg Likes/Tweet
34.7
Avg Retweets/Tweet
605,617
Total Likes
110,953
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
52
Median Likes
8
Median Retweets
168
75th Percentile
33,332
Top Tweet
0.06
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
46.4%
Original
2.6%
Replies
40.8%
Retweets
10.3%
Quotes
0.0%
Threads
0.8%
With Media
53.5%
With Links
44.8%
With #Tags
65.3%
With @Mentions
44.4%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.7%
Weekday Posts
17.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 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 1,302 retweets (41% 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 3,194 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 followersHis audience primarily consists of fans of his music and TV appearances, including shows like 'The Real World' and 'Love & Hip Hop.' The audience is likely young and interested in pop culture and entertainment.
Average
Audience Quality
28.9%
Suspicion Index
40.9%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.3%
Empty Bio
39.8%
<10 Tweets
4.8%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
29.4%
<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.
29,307,717
Total Potential Reach
12
Median Follower Reach
68
75th Percentile Reach
2.9%
>1K followers
0.5%
>10K followers
0.2%
>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).
39.0%
Creators
19,477 accounts
21.3%
Consumers
10,640 accounts
39.8%
Dormant
19,883 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):
798
Verified Followers
0.79% of total
14,178
Protected Accounts
14.04% 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 |
|---|---|---|---|
| @drdrew | 2,650,823 | Medical Professional | Medicine, Addiction, TV |
| @GabbieHanna | 2,318,391 | - | - |
| @JalenRose | 1,804,390 | Analyst | Basketball, Education, Media |
| @SinghLions | 1,335,472 | Restaurateur | Food, Travel, Influencer |
| @RuPaulsDragRace | 1,259,855 | TV Show | Drag, Love, AllStars6 |
| @RexChapman | 1,254,815 | Commentator | Basketball, Horse racing, Commentary |
| @AZCardinals | 1,143,896 | Sports Team | Football, Content Creation, Humor |
| @ChelseaFCinUSA | 815,909 | Sports Marketing | Soccer, Chelsea FC, Tweets |
| @MountainDew | 779,736 | Beverage Brand | Gaming, Energy, Exclusive drops |
| @neekolul | 707,568 | Streamer | Gaming, Streaming, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,973
Followers With Bio
49,023
Followers Without Bio
51.46%
% With Bio
48.54%
% 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 3,194 analyzed89,513
Combined Engagement
50,759
Total Likes
38,754
Total Retweets
17,903
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @ComplexMusic: DMX's manager confirms the rapper is still alive. Keep fighting, X 🖤 https://t.co/SHUfENbemW
I Love All Reese's https://t.co/3V6x9B6L3a
Damn this is sad news. sending prayers to Stephen "tWitch" Boss's family and friends. ❤️🙏 RIP TWITCH
DJ Pauly D For President #PaulyD2020 https://t.co/8QMbyc17Hz
Back Like She Never Left #JSFamilyVacation https://t.co/wz7pQNaVkr
Key Insights & Takeaways
He frequently shares personal and humorous content, which helps build a connection with his audience. He occasionally engages in political or social commentary, which can influence his public image. His use of hashtags and links suggests an effort to drive traffic and increase visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,511,880
- + 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 @DJPaulyD reveals an well-established Twitter presence with 3,511,880 followers. The account demonstrates a content-creator strategy, averaging 224.3 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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