MTU
Professional Rugby Player. Sale Sharks 🦈
90,304
Followers
598
Following
1,235
Tweets
120.7
Avg Engagement
406
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Manutuilagi'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:2011-08-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,208
- Avg Likes per Tweet:12.8
- Avg Retweets per Tweet:107.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,208 tweetsHis tweets receive a moderate number of likes and retweets, indicating a balanced level of audience interaction.
12.8
Avg Likes/Tweet
107.8
Avg Retweets/Tweet
15,479
Total Likes
130,274
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
15
75th Percentile
90,946
Top Tweet
1.34
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
25.8%
Original
41.8%
Replies
32.0%
Retweets
0.3%
Quotes
0.0%
Threads
1.0%
With Media
29.1%
With Links
22.5%
With #Tags
86.7%
With @Mentions
19.6%
With Emojis
92
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.62
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,208 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 387 retweets (32% 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 1,208 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 followers likely include rugby fans, fellow athletes, and individuals interested in sports and personal stories.
Average
Audience Quality
23.6%
Suspicion Index
29.6%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
22.5%
<10 Tweets
11.8%
Mass Following (>2K)
0.0%
New (<90 days)
50.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.8%
No URL
14.2%
<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.
11,835,173
Total Potential Reach
47
Median Follower Reach
180
75th Percentile Reach
5.5%
>1K followers
0.7%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
54.7%
Creators
5,471 accounts
22.8%
Consumers
2,283 accounts
22.5%
Dormant
2,246 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):
21
Verified Followers
0.21% of total
1,314
Protected Accounts
13.14% 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 |
|---|---|---|---|
| @wossy | 4,869,537 | TV Presenter | self-indulgent, Instagram, life |
| @SonnyBWilliams | 949,978 | Athlete | justice, truth, equality |
| @RicciGuarnaccio | 617,523 | DJ | DJing, Worldwide Management, Booking |
| @robtswthrayguns | 258,014 | Inventor | synthwave, NFT, NSFW |
| @KOMINERT | 223,559 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @rugbyworldcupjp | 217,646 | Sports Marketing | rugby, world cup, japan |
| @frankbrunoboxer | 173,312 | Boxer | Boxing, Mental Health, Coaching |
| @ImpressionistAL | 129,132 | Impressionist | Impressionist, MUFC fan, Dad |
| @Betfred | 108,951 | Gambling | Sports betting, Customer service, Responsible gambling |
| @TheSportsman | 101,672 | Sports Media | Sports, Fans, Community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,494
Followers With Bio
4,506
Followers Without Bio
54.94%
% With Bio
45.06%
% 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 tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,208 analyzed111,741
Combined Engagement
0
Total Likes
111,741
Total Retweets
22,348
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @vardy7: .... https://t.co/nnwmRyOg6y
RT @henryfraser0: My mouth painting. (I'm paralysed from shoulders down so only able to use my mouth). The Eagle. https://t.co/sMYa5voNeR
RT @David_Cameron: .@Manutuilagi it was great to welcome you and the @lionsofficial team to No10. No need to apologise, I know it was just a bit of fun.
RT @MikeTyson: A cookout just isn't a cookout without @Holyfield's #realdealBBQsauce. Get some! It's ear-licking good! http://t.co/7Vym8KY9
RT @MikeTyson: .@lord_sugar I like @piersmorgan a lot. But for a million dollars to my charity I'll bite his ear and gift wrap it for you. #TysonMorgan
Key Insights & Takeaways
He shares personal gratitude and respect for mentors and coaches, highlighting his appreciation for guidance and support. He mentions playing alongside notable figures, which can enhance his credibility and appeal. He engages with public figures in a friendly manner, suggesting a desire to build personal connections.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,304
- + 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 @Manutuilagi reveals an well-established Twitter presence with 90,304 followers. The account demonstrates a conversation-first approach, averaging 120.7 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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