PARTYNEXTDOOR
R e s e n t m e n t
1,561,633
Followers
894
Following
450
Tweets
14,391.9
Avg Engagement
961
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @partynextdoor'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:2013-04-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:441
- Avg Likes per Tweet:9,384.2
- Avg Retweets per Tweet:5,007.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 441 tweetsHis tweets typically receive high engagement, with an average of 95,000 likes and 45,000 retweets per post.
9,384.2
Avg Likes/Tweet
5,007.7
Avg Retweets/Tweet
4,138,413
Total Likes
2,208,393
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
979
Median Likes
742
Median Retweets
16,910
75th Percentile
298,686
Top Tweet
9.22
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
61.9%
Original
6.1%
Replies
28.8%
Retweets
3.2%
Quotes
0.0%
Threads
0.2%
With Media
35.8%
With Links
10.0%
With #Tags
41.5%
With @Mentions
18.4%
With Emojis
57
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.2%
Weekday Posts
21.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 441 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 127 retweets (29% 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 441 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 music enthusiasts and fans who engage with his content regularly.
Average
Audience Quality
27.6%
Suspicion Index
36.1%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
38.7%
<10 Tweets
4.8%
Mass Following (>2K)
0.0%
New (<90 days)
59.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
27.2%
<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.
29,335,788
Total Potential Reach
12
Median Follower Reach
65
75th Percentile Reach
3.2%
>1K followers
0.4%
>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).
37.2%
Creators
18,618 accounts
24.0%
Consumers
12,013 accounts
38.7%
Dormant
19,369 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):
489
Verified Followers
0.49% of total
13,837
Protected Accounts
13.84% of total
3 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 |
|---|---|---|---|
| @Olamide | 6,288,985 | Musician | Music, Booking, Email |
| @BET | 2,773,676 | Entertainment | TV shows, entertainment, music |
| @ScHoolboyQ | 2,549,068 | Rapper | music, hip hop, rap |
| @ZachBoychuk | 830,105 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 801,955 | Activism | equality, bullying, discrimination |
| @RaeSremmurd | 769,738 | Musician | Music, Entertainment, Lifestyle |
| @solalexasch | 678,367 | Musician | Music, Travel, Tattoos |
| @777jorgeivan | 674,717 | - | - |
| @livewithnoregrt | 495,665 | Unknown | introvert, rip dad, black heart |
| @AltcoinPsycho | 493,128 | Trader | Options trading, Algo trading, Bitcoin |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,545
Followers With Bio
41,455
Followers Without Bio
58.55%
% With Bio
41.45%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 441 analyzed862,611
Combined Engagement
557,044
Total Likes
305,567
Total Retweets
172,522
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Album in January
It’s her for me.
RT @Drake: I remember everything...juss know.
Facts https://t.co/zbvJEwDJgq
We droppin
Key Insights & Takeaways
He frequently promotes his music and upcoming projects, such as his album release in January. He shares personal and candid moments, which resonate well with his audience. He uses catchy and memorable phrases that align with his brand and music style.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,561,633
- + 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 @partynextdoor reveals an exceptionally influential Twitter presence with 1,561,633 followers. The account demonstrates a content-creator strategy, averaging 14,391.9 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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