Rockmond Dunbar
married with kids
75,532
Followers
611
Following
7,266
Tweets
1,577.4
Avg Engagement
238
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RockmondDunbar'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: Mid-Tier (10K+)
- Account Age:2012-10-23
- Verification:No
- Location:Everywhere
Data Summary
- Tweets Analyzed:3,126
- Avg Likes per Tweet:49.0
- Avg Retweets per Tweet:1,528.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,126 tweetsHis tweets show moderate to high engagement, with a notable number of likes and retweets, indicating a loyal and active audience.
49.0
Avg Likes/Tweet
1,528.5
Avg Retweets/Tweet
153,025
Total Likes
4,778,036
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
121
75th Percentile
473,067
Top Tweet
20.88
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
16.2%
Original
16.8%
Replies
47.6%
Retweets
19.5%
Quotes
0.0%
Threads
0.4%
With Media
74.9%
With Links
40.1%
With #Tags
76.0%
With @Mentions
33.0%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.04
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.9%
Weekday Posts
16.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,126 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 1,487 retweets (48% 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 3,126 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 10,000 followersHis audience appears to be interested in entertainment, possibly including fans of TV shows and motivational content.
Average
Audience Quality
26.9%
Suspicion Index
29.7%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
31.4%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
59.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
21.4%
<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.
24,537,752
Total Potential Reach
26
Median Follower Reach
141
75th Percentile Reach
5.0%
>1K followers
0.6%
>10K followers
0.2%
>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).
46.6%
Creators
4,662 accounts
21.9%
Consumers
2,193 accounts
31.4%
Dormant
3,145 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):
58
Verified Followers
0.58% of total
1,146
Protected Accounts
11.46% 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 |
|---|---|---|---|
| @JohnCena | 14,097,217 | Wrestler | Wrestling, Motivation, Self-promotion |
| @levarburton | 2,179,068 | Actor | Kunta, Geordi, Reading Rainbow |
| @donwinslow | 933,033 | Author | books, writing, reading |
| @NOH8Campaign | 800,414 | Activism | equality, bullying, discrimination |
| @YNB | 520,202 | Actress | Acting, Comedy, Disney+ |
| @BigTiggerShow | 472,590 | Radio Host | Music, Sports, Sneakers |
| @robbystarbuck | 335,790 | Director/Producer | Politics, Filmmaking, Family |
| @WendellPierce | 290,645 | Actor | Acting, Film, Television |
| @Syleena_Johnson | 277,560 | Entertainer | Music, Acting, Yoga |
| @USANetwork | 274,139 | Entertainment | WWE, Barmageddon, Chucky |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,196
Followers With Bio
3,804
Followers Without Bio
61.96%
% With Bio
38.04%
% 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 3,126 analyzed1,440,263
Combined Engagement
0
Total Likes
1,440,263
Total Retweets
288,053
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @JKCorden: Oh my god. This is just sensational. Please watch and retweet. https://t.co/ackPHwAUce
RT @LAVENDERTHUG: BITCH YALL GOT ANONYMOUS OUT THE SHADOWS https://t.co/bCBPnNJkmr
RT @Kaepernick7: Believe in something, even if it means sacrificing everything. #JustDoIt https://t.co/SRWkMIDdaO
RT @McJesse: Ok Twitter- let's see if this wrestling meme can get MORE RETWEETS that the president's wrestling meme. https://t.co/bTWJhttCAo
RT @DearCatherinee: imagine how racist you gotta be to protest against a protest to end racism https://t.co/AyrQO0tz9o
Key Insights & Takeaways
He frequently shares content related to TV shows and events, suggesting a focus on entertainment and pop culture. His use of hashtags and emojis indicates an attempt to engage and connect with his audience emotionally. He has a verified status of 0.6%, which may suggest a mix of personal and public content in his tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,532
- + 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 @RockmondDunbar reveals an exceptionally influential Twitter presence with 75,532 followers. The account demonstrates a conversation-first approach, averaging 1,577.4 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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