Bobby
Television Host, Author & Designer. For lifestyle, fashion, design tips, and to get my book click the link below ⤵️ He/Him
378,094
Followers
779
Following
25,541
Tweets
280.2
Avg Engagement
759
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bobbyberk'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:2009-01-23
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:192.7
- Avg Retweets per Tweet:87.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsBobby Berk's tweets receive high average likes and retweets, indicating strong audience interaction. His content is often shared and appreciated, especially when it includes personal and political messages.
192.7
Avg Likes/Tweet
87.5
Avg Retweets/Tweet
625,636
Total Likes
284,139
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
1
Median Retweets
74
75th Percentile
43,543
Top Tweet
0.74
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.8%
Original
18.8%
Replies
6.6%
Retweets
1.8%
Quotes
0.0%
Threads
1.8%
With Media
79.9%
With Links
13.0%
With #Tags
39.9%
With @Mentions
17.2%
With Emojis
168
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 213 retweets (7% 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 3,247 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 lifestyle and fashion content, as well as followers interested in political activism. The audience also engages with personal stories and celebrity interactions.
Good
Audience Quality
18.6%
Suspicion Index
21.5%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.5%
Empty Bio
17.2%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
43.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
11.4%
<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.
121,358,051
Total Potential Reach
50
Median Follower Reach
203
75th Percentile Reach
6.3%
>1K followers
0.9%
>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).
65.2%
Creators
32,582 accounts
17.6%
Consumers
8,793 accounts
17.2%
Dormant
8,625 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):
752
Verified Followers
0.75% of total
17,983
Protected Accounts
17.98% 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 |
|---|---|---|---|
| @HillaryClinton | 31,483,542 | Politician | - |
| @JohnCena | 14,104,435 | Wrestler | Wrestling, Motivation, Self-promotion |
| @maisa | 13,036,320 | Atriz | atriz, apresentadora, cantora |
| @FeCastanhari | 7,520,865 | - | - |
| @brunogagliasso | 5,851,467 | Actor | Family, Acting, Fatherhood |
| @luisasonza | 5,103,199 | Singer | music, singing, songwriting |
| @wossy | 4,891,486 | TV Presenter | self-indulgent, Instagram, life |
| @gustastockler | 3,916,409 | Actor | ator, diretor, criador |
| @scooterbraun | 3,601,764 | Music Manager | Music, Philanthropy, Entertainment |
| @Alyssa_Milano | 3,501,662 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,328
Followers With Bio
30,672
Followers Without Bio
69.33%
% With Bio
30.67%
% 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 3,247 analyzed159,930
Combined Engagement
89,201
Total Likes
70,729
Total Retweets
31,986
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
Brazil!! Por favor não se esqueça de votar em @lulaoficial neste domingo. #lula #lula2022 #lulapresidente https://t.co/MNCv68gr8o https://t.co/yDRUbrL95M
RT @jbeachferrara: I am Democrat Jasmine Beach-Ferrara. I am running against Madison Cawthorn. I have 4.5K followers. My opponent has 256K.…
Aww. 💕 This is a nice memory to be reminded of from my time living in #Japan ♥️ @kikoxxx @rinasawayama @Harry_Styles https://t.co/dPyE3Me7nx
RT @bessbell: $13,647,676 from the NRA
Happy #Pride 🌈 https://t.co/geUHvuWQbV
Key Insights & Takeaways
He frequently promotes his book and personal brand through his tweets. He engages with fans by sharing personal memories and experiences. He uses political hashtags and supports candidates, which may reflect his personal values and interests.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 378,094
- + 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 @bobbyberk reveals an well-established Twitter presence with 378,094 followers. The account demonstrates a content-creator strategy, averaging 280.2 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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