ROBERT KARDASHIAN
snapchat: 👻 robphuckedme Instagram: robkardashianofficial
6,935,156
Followers
1,317
Following
1,710
Tweets
3,920.4
Avg Engagement
10,329
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @robkardashian'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:2009-03-31
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,691
- Avg Likes per Tweet:2,177.2
- Avg Retweets per Tweet:1,743.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,691 tweetsHis tweets typically receive an average of 71,781 likes and 6,509 retweets, indicating strong audience interaction. The high engagement suggests his content resonates well with his followers.
2,177.2
Avg Likes/Tweet
1,743.2
Avg Retweets/Tweet
3,681,628
Total Likes
2,947,708
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
310
Median Likes
80
Median Retweets
1,852
75th Percentile
319,137
Top Tweet
0.57
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
42.7%
Original
11.5%
Replies
29.2%
Retweets
16.7%
Quotes
0.0%
Threads
0.5%
With Media
67.9%
With Links
19.8%
With #Tags
52.7%
With @Mentions
44.0%
With Emojis
71
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.57
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,691 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 493 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 1,691 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 interested in celebrity culture and his personal life. The audience is highly engaged, with a significant number of likes and retweets on his tweets.
Below Average
Audience Quality
39.9%
Suspicion Index
56.0%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.6%
Empty Bio
64.8%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
80.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
50.4%
<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.
22,291,598
Total Potential Reach
3
Median Follower Reach
16
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
15.3%
Creators
7,668 accounts
19.9%
Consumers
9,939 accounts
64.8%
Dormant
32,393 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):
246
Verified Followers
0.24% of total
11,068
Protected Accounts
10.96% of total
2 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 |
|---|---|---|---|
| @MarkRuffalo | 8,341,942 | Actor | climate justice, actor, director |
| @THR | 3,460,470 | Entertainment News | Entertainment, News, Reviews |
| @Polo_Capalot | 3,456,869 | Rapper | Hip Hop, Success, Ambition |
| @Nicolette_Shea | 2,410,198 | Content Creator | OnlyFans, Creator, Model |
| @PaulaAbdul | 1,968,605 | Singer | Dance, Music, Love |
| @Valeria_Martell | 1,538,140 | Influencer | Fashion, Mexico, Contact |
| @adam22 | 917,981 | Podcaster | Music, BMX, Fashion |
| @beatsbynav | 859,689 | Music Producer | Music, Beats, Tsunami |
| @andreabarzagli2 | 850,140 | Footballer | Calcio, Juventus, Italia |
| @NOH8Campaign | 802,035 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,401
Followers With Bio
56,596
Followers Without Bio
43.96%
% With Bio
56.04%
% 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 1,691 analyzed999,769
Combined Engagement
154,459
Total Likes
845,310
Total Retweets
199,954
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @MarvelStudios: WAKANDA FOREVER https://t.co/ozNVPsFQRm
RT @wanderlustafbih: Ashton Kutcher is really THAT guy. I had no idea he stopped his acting career to fight against human trafficking and s…
RT @DrewFrogger: I don’t use this verbiage often but this is a whole vibe. simple as that https://t.co/NfdLsgLkxu
Best picture ever 😭😍 @KimKardashian https://t.co/Y3wdctd1V5
RT @AdamSandler: Happy loves you all! Thanks for everything! https://t.co/p1aY9JcFWh
Key Insights & Takeaways
He frequently interacts with his sister, Kim Kardashian, and shares content related to her. His tweets often include emojis and humor, which likely contribute to high engagement. He uses Twitter as a platform to share personal moments and public reactions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 6,935,156
- + 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 @robkardashian reveals an exceptionally influential Twitter presence with 6,935,156 followers. The account demonstrates a content-creator strategy, averaging 3,920.4 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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