Rocket
I’ll keep it short. Grew up on Soccer AM, now Head of Production at Mola TV.
100,530
Followers
2,347
Following
8,857
Tweets
300.7
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RocketLong3'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:2011-02-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:25.5
- Avg Retweets per Tweet:275.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received, with a balance between personal and professional posts driving engagement.
25.5
Avg Likes/Tweet
275.1
Avg Retweets/Tweet
81,638
Total Likes
880,162
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
19
75th Percentile
152,798
Top Tweet
2.99
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
23.6%
Original
34.9%
Replies
24.4%
Retweets
17.0%
Quotes
0.0%
Threads
1.2%
With Media
59.0%
With Links
27.0%
With #Tags
76.4%
With @Mentions
31.1%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.48
Reply/Original Ratio
0.7
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 3,199 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 782 retweets (24% 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 3,199 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 followersRocketLong3's audience includes sports enthusiasts, media professionals, and individuals interested in personal achievements and behind-the-scenes industry insights. His followers appreciate both his professional expertise and personal updates.
Average
Audience Quality
21.1%
Suspicion Index
24.7%
Low-Quality %
110
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.5%
Empty Bio
13.6%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
42.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
7.8%
<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.
20,651,808
Total Potential Reach
110
Median Follower Reach
310
75th Percentile Reach
7.9%
>1K followers
1.7%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.9%
Creators
6,888 accounts
17.6%
Consumers
1,757 accounts
13.6%
Dormant
1,355 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):
59
Verified Followers
0.59% of total
1,311
Protected Accounts
13.11% 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 |
|---|---|---|---|
| @jamessmurray | 1,014,216 | Comedian | Comedy, TV shows, Thriller |
| @paddypower | 702,650 | Betting Company | Football, Betting, Humor |
| @RomellHenryTgf | 625,387 | - | - |
| @mattletiss7 | 620,624 | Football pundit | Football, pundit, Southampton |
| @TheAnfieldWrap | 565,297 | Sports Media | Liverpool FC, Podcasts, Writing |
| @IamMzilikazi | 550,271 | Musician | Pan-African music, Album, Rise |
| @RealRomfordPele | 511,728 | Footballer | Football, TalkSport, After-dinner speaker |
| @JOEdotie | 502,412 | Media | Sports, News, Entertainment |
| @thedavidseaman | 445,443 | Footballer | Football, England, Trophies |
| @fmuamba6 | 445,339 | Coach | Football, Coaching, Digital Sports Management |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,850
Followers With Bio
4,150
Followers Without Bio
58.5%
% With Bio
41.5%
% 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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Export full follower list with profile details, bios, locations, and follower counts as CSV.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,199 analyzed417,398
Combined Engagement
0
Total Likes
417,398
Total Retweets
83,480
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BeardedGenius: Scary as fuck weather report. First it's like, ah smart use of green screen, then it's like holy fucking shit. https://t.co/J9SmZqTqVI
RT @darrenrovell: Show this video to every pro athlete today https://t.co/bU6Iuls9jA
RT @vonstrenginho: The Senegal warm-up is even better with Ducktales music. https://t.co/4VvyxeyOC4
RT @JOE_co_uk: Barcelona weren't ready for PSG's plan B... #Neymar https://t.co/IfFIrWBDru
RT @_jumpersworld: ❗️BREAKING❗️ 19 year old @juanmiguelechevarri just jumped 8️⃣.8️⃣3️⃣m (28’11.63”) +2.1 today at the Diamond league!! It is the furthest jump ever produced in any conditions since 1995!! https://t.co/uZ8ojqY9oK
Key Insights & Takeaways
He shares personal milestones, such as becoming a father, which humanizes his public persona. He engages with industry-related content, showing his professional interests and connections. He uses humor and self-deprecating remarks to connect with his audience in a relatable way.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 100,530
- + 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 @RocketLong3 reveals an well-established Twitter presence with 100,530 followers. The account demonstrates a conversation-first approach, averaging 300.7 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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