106,683
Followers
390
Following
2,392
Tweets
336.7
Avg Engagement
272
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mattytargett'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:2012-07-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,315
- Avg Likes per Tweet:284.5
- Avg Retweets per Tweet:52.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,315 tweetsHis tweets receive a high number of likes and retweets, indicating strong support from his audience. The engagement is driven by his positive and passionate content about football.
284.5
Avg Likes/Tweet
52.2
Avg Retweets/Tweet
658,716
Total Likes
120,810
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
4
75th Percentile
23,840
Top Tweet
3.16
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
66.3%
Original
21.6%
Replies
11.5%
Retweets
0.5%
Quotes
0.0%
Threads
0.2%
With Media
10.5%
With Links
32.3%
With #Tags
47.1%
With @Mentions
31.0%
With Emojis
57
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.7%
Weekday Posts
34.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,315 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 267 retweets (12% 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 2,315 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 are likely football fans, especially supporters of Newcastle United, interested in his career and personal updates. The audience is engaged with sports content and team news.
Average
Audience Quality
29.5%
Suspicion Index
37.0%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.4%
Empty Bio
34.0%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
60.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
21.7%
<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.
17,534,527
Total Potential Reach
24
Median Follower Reach
108
75th Percentile Reach
3.0%
>1K followers
0.3%
>10K followers
0.1%
>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).
39.6%
Creators
3,965 accounts
26.3%
Consumers
2,630 accounts
34.0%
Dormant
3,405 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):
34
Verified Followers
0.34% of total
785
Protected Accounts
7.85% of total
4 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 | 14,093,307 | Wrestler | Wrestling, Motivation, Self-promotion |
| @IamMzilikazi | 550,135 | Musician | Pan-African music, Album, Rise |
| @Moreno | 430,940 | Influencer | Business, Manager, Serious |
| @GetYourTipsOut | 149,644 | Tipster | Horse racing, Tipping, Enthusiasts |
| @ghodoussi | 130,817 | Partner | Finance, Investments, Business |
| @Jordan_Coombe | 120,041 | Average Boy | Email, Average boy, Large tick |
| @anthonygordon | 72,393 | Footballer | Football, Seahawks, Washington State |
| @SouhanStrib | 52,587 | - | - |
| @nufc_ar | 48,821 | Football Club | Football, Newcastle, Arabic |
| @MohammedTahir14 | 37,624 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,761
Followers With Bio
5,239
Followers Without Bio
47.61%
% With Bio
52.39%
% 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 2,315 analyzed106,656
Combined Engagement
102,187
Total Likes
4,469
Total Retweets
21,331
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
St James’ is my permanent home 🤩 Over the moon to have signed for @NUFC. Was tough coming straight into a relegation battle but I’ve had the best time these last few months. Can’t wait to start pre-season with boys 😁Howay the Toon 🤍🖤 https://t.co/GnHpaEByTC
What a game full of fight and desire 🙌🏼 The atmosphere was amazing tonight at St James’ 🤩 Thank you for the warm welcome 🤍🖤 https://t.co/HMmFYQhsQ9
So proud to have signed for @NUFC until the end of the season 😁 Can’t wait to get started! I’m ready to give my all to this club as we head into a very important few months 🙌🏼 Looking forward to seeing you all at St James’ Park 🖤🤍 https://t.co/XqEIiH0Iso
From 15pts to 49pts. What a few months we’ve had 🤩 Huge thank you for all your support 🖤🤍 https://t.co/f0sm97SBpj
Up the f***king Villa!!!!! 1 more hurdle to go 🙌 #AVFC #believe
Key Insights & Takeaways
He is excited about joining Newcastle United and the team's atmosphere He is committed to giving his all for the club despite the challenges He values the support from his followers and the community
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 106,683
- + 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 @Mattytargett reveals an well-established Twitter presence with 106,683 followers. The account demonstrates a content-creator strategy, averaging 336.7 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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