Dominic Matteo
All enquiries contact [email protected] Liverpool FC Leeds UTD Blackburn Rovers Stoke City & Scotland Player. TV Pundit/Analyst/ Co Commentator
75,357
Followers
3,147
Following
9,749
Tweets
257.2
Avg Engagement
222
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Dominicmatteo21'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:2011-10-27
- Verification:No
- Location:Liverpool, England
Data Summary
- Tweets Analyzed:3,164
- Avg Likes per Tweet:126.0
- Avg Retweets per Tweet:131.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,164 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
126.0
Avg Likes/Tweet
131.1
Avg Retweets/Tweet
398,803
Total Likes
414,922
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
20
75th Percentile
239,729
Top Tweet
3.41
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
24.7%
Original
24.5%
Replies
46.7%
Retweets
4.0%
Quotes
0.0%
Threads
0.6%
With Media
68.8%
With Links
35.7%
With #Tags
84.8%
With @Mentions
38.2%
With Emojis
129
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.99
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,164 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 1,479 retweets (47% 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 3,164 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 includes football fans, especially supporters of the clubs he has played for, as well as those interested in sports analysis and commentary.
Average
Audience Quality
22.8%
Suspicion Index
29.1%
Low-Quality %
70
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.5%
Empty Bio
22.3%
<10 Tweets
14.5%
Mass Following (>2K)
0.0%
New (<90 days)
43.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
14.7%
<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.
22,177,000
Total Potential Reach
70
Median Follower Reach
266
75th Percentile Reach
7.7%
>1K followers
1.1%
>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).
57.3%
Creators
5,734 accounts
20.4%
Consumers
2,037 accounts
22.3%
Dormant
2,229 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):
42
Verified Followers
0.42% of total
987
Protected Accounts
9.87% of total
6 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 | 14,097,164 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OllieHolt22 | 435,395 | Sports Journalist | Sports, Writing, Journalism |
| @domisatwit | 388,318 | Radio Host | Radio, Comedy, Music |
| @zammit_marc | 385,733 | Filmmaker | Film, Acting, Producing |
| @socios | 315,455 | Sports Commentator | Football, Crypto, Entertainment |
| @OldDaysFootball | 189,208 | Football Historian | Football, Memories, Sharing |
| @mccordalex | 188,505 | Psychologist | Psychology, Parenting, Opinions |
| @NickyAACampbell | 182,871 | Broadcaster | Family, Podcasts, Author |
| @StanPetrov19 | 149,757 | Footballer | Football, Charity, Player4Playerfc |
| @LFC_360 | 120,714 | Sports Writer | Football, Liverpool, Community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,654
Followers With Bio
4,346
Followers Without Bio
56.54%
% With Bio
43.46%
% 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 3,164 analyzed444,346
Combined Engagement
134,597
Total Likes
309,749
Total Retweets
88,869
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @TomMunns1: I can’t stop watching this. Dad of the year 😂👏🏻⚽️ https://t.co/iLvhDoiFyb
Yesterday I got THE phone call, the one I’ve been praying for... my brain scan is clear. After 6 months of fear pain rehab surgery and treatment. I’m healthy! It feels unreal! The LGI &St James hospital saved my life. They were simply incredible. Thankyou will never be enough
RT @MoSalah: ❤️❤️😍🤣 https://t.co/IGWXwb1t3o
RT @ChrisToseland: I don’t usually post personal news but Clinicians have told us to pull every lever. Our daughter has with #dipg Brain cancer. There is no cure and typically 9m life expectancy. If anyone knows of trials then please get in contact! #braincancer #childrenscance
Thankyou so much for all the love support. I’m getting stronger and more determined everyday. Well Done to both my teams @LUFC @LFC Big Love Dom x https://t.co/xIBxMC9LYf
Key Insights & Takeaways
He shares personal updates about his health and recovery journey, showing vulnerability and gratitude to his supporters. He highlights his professional achievements and current involvement in football commentary. He engages with his audience by mentioning specific teams and using relevant hashtags.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,357
- + 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 @Dominicmatteo21 reveals an well-established Twitter presence with 75,357 followers. The account demonstrates a content-creator strategy, averaging 257.2 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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