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THE HIP HOP REX CHAPMAN❓❤.y.at
3.302.440
Followers
9.786
Following
83.911
Tweets
1.078,7
Avg Engagement
17.235
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @questlove'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:2008-05-29
- Verification:No
- Location:Illadelph & Fi-Di NYC & 31Rock
Data Summary
- Tweets Analyzed:3.239
- Avg Likes per Tweet:451,9
- Avg Retweets per Tweet:626,8
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.239 tweetsQuestlove's tweets consistently receive high engagement, indicating a loyal and active fan base. His ability to connect with followers through personal and professional content drives this interaction.
451,9
Avg Likes/Tweet
626,8
Avg Retweets/Tweet
1.463.556
Total Likes
2.030.193
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
4
Median Retweets
282
75th Percentile
209.791
Top Tweet
0,33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
23,5%
Original
43,4%
Replies
19,6%
Retweets
13,6%
Quotes
0,0%
Threads
5,2%
With Media
42,5%
With Links
8,9%
With #Tags
64,7%
With @Mentions
13,1%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,85
Reply/Original Ratio
0,69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80,2%
Weekday Posts
19,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.239 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 634 retweets (20% 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 3.239 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 includes fans of hip hop, music producers, and cultural enthusiasts. The engagement suggests a strong connection with both longtime followers and new audiences interested in his work.
Average
Audience Quality
23,8%
Suspicion Index
27,5%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38,2%
Empty Bio
24,7%
<10 Tweets
11,3%
Mass Following (>2K)
0,0%
New (<90 days)
53,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
83,3%
No URL
16,8%
<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.
114.400.695
Total Potential Reach
41
Median Follower Reach
179
75th Percentile Reach
6,9%
>1K followers
1,1%
>10K followers
0,3%
>50K followers
0,2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56,3%
Creators
28.140 accounts
19,0%
Consumers
9.503 accounts
24,7%
Dormant
12.357 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):
1.375
Verified Followers
1.36% of total
11.823
Protected Accounts
11.71% of total
7 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 |
|---|---|---|---|
| @BrunoMars | 42.961.222 | Musician | Music, Skateboarding, Entertainment |
| @TwitterTV | 9.051.316 | - | - |
| @dylanobrien | 6.185.313 | - | - |
| @lilyachty | 5.424.586 | Rapper | Music, Fashion, Lifestyle |
| @wossy | 4.893.843 | TV Presenter | self-indulgent, Instagram, life |
| @IMDb | 4.596.012 | Entertainment | movies, TV, celebrities |
| @LaurenJauregui | 4.284.940 | Musician | artist, writer, singer |
| @IAMJHUD | 4.040.860 | Entertainer | Music, Acting, Film |
| @ochocinco | 3.248.259 | Researcher | Football, Gaming, Analytics |
| @ReeseW | 2.977.790 | Actress | Acting, Producing, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64.659
Followers With Bio
36.338
Followers Without Bio
64.02%
% With Bio
35.98%
% 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 3.239 analyzed715.502
Combined Engagement
453.404
Total Likes
262.098
Total Retweets
143.100
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
Can we FINNNNNNNALY stop talking about it?
I feel the love! https://t.co/LfMDtIVJIA
RT @FINALLEVEL: I was robbed at a gas station in NJ last night. After my hands stopped trembling..I managed to call the cops and they were…
fuck you say??! https://t.co/NSyVSmKXkP
RT @KekePalmer: A great example of colorism is to believe I can be compared to anyone. I’m the youngest talk show host ever. The first Blac…
Key Insights & Takeaways
Questlove uses his platform to reflect on personal and professional milestones, such as his EGOT journey. He shares heartfelt messages, showing his emotional connection to his community and music industry peers. His tweets often blend humor and sincerity, making them relatable and engaging for a wide audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3.302.440
- + 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 @questlove reveals an exceptionally influential Twitter presence with 3.302.440 followers. The account demonstrates a conversation-first approach, averaging 1.078,7 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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