Matt Terry
🎵 ‘You don’t know nothing’ out now! 👇🏼
98,672
Followers
593
Following
10,523
Tweets
618.8
Avg Engagement
160
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MattTerry93'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:2012-06-09
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,166
- Avg Likes per Tweet:298.7
- Avg Retweets per Tweet:320.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,166 tweetsHis tweets typically receive high engagement, with an average of 7,514 likes and 2,278 retweets. This indicates a strong and active fan base.
298.7
Avg Likes/Tweet
320.1
Avg Retweets/Tweet
945,805
Total Likes
1,013,336
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
102
Median Likes
34
Median Retweets
465
75th Percentile
286,760
Top Tweet
6.27
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
43.7%
Original
36.3%
Replies
10.6%
Retweets
9.4%
Quotes
0.0%
Threads
0.5%
With Media
37.4%
With Links
15.1%
With #Tags
61.0%
With @Mentions
53.0%
With Emojis
68
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.83
Reply/Original Ratio
0.89
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,166 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 335 retweets (11% 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 3,166 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 music enthusiasts, particularly fans of K-pop and pop music. They are engaged and supportive, often interacting with his content.
Average
Audience Quality
24.3%
Suspicion Index
25.0%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.8%
Empty Bio
24.4%
<10 Tweets
16.4%
Mass Following (>2K)
0.0%
New (<90 days)
52.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.3%
No URL
15.3%
<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.
36,186,598
Total Potential Reach
43
Median Follower Reach
225
75th Percentile Reach
8.3%
>1K followers
1.7%
>10K followers
0.6%
>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).
54.3%
Creators
5,426 accounts
21.4%
Consumers
2,139 accounts
24.4%
Dormant
2,435 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):
55
Verified Followers
0.55% of total
1,424
Protected Accounts
14.24% 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 |
|---|---|---|---|
| @JohnCena | 14,092,911 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JamesArthur23 | 2,049,191 | Singer | Music, Singer, Songwriter |
| @KameronBennett | 1,819,757 | DJ | Music, DJing, Booking |
| @TheVampsCon | 1,730,333 | Musician | Diary, Strange thoughts |
| @MilesSTEREOS | 858,451 | Musician | Guitarist, Writer, Producer |
| @NOH8Campaign | 799,036 | Activism | equality, bullying, discrimination |
| @SleepSkee | 707,675 | Musician | Music, Independent, Artist |
| @paul_steele | 645,479 | Travel Blogger | Travel, hiking, photography |
| @helloross | 499,708 | TV Host | RuPaul's Drag Race, Drew Barrymore, Adorableness |
| @THE_THEO_FORD | 472,597 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,521
Followers With Bio
3,479
Followers Without Bio
65.21%
% With Bio
34.79%
% 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 3,166 analyzed741,407
Combined Engagement
16,694
Total Likes
724,713
Total Retweets
148,281
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @jtimberlake: Hey guys... it's May.
RT @JordanUhl: Who is this serving? Who is this protecting? https://t.co/IK8DkwLLUT
RT @Louis_Tomlinson: The support for Just Hold On has been unbelievable.I was nervous about doing something on my own but you lot have given me somuch confidence
RT @Louis_Tomlinson: Hope you're all enjoying Back to You !!
I can't believe it!!! Thank you to every single one of you that voted for me ❤️ #xfactorfinal https://t.co/kf75fKIBpf
Key Insights & Takeaways
He frequently shares updates about his music projects and collaborations, which likely drive engagement. His tweets often include links to his work, suggesting a focus on promoting his music and related content. He uses hashtags and emojis to enhance the visibility and emotional appeal of his posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 98,672
- + 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 @MattTerry93 reveals an well-established Twitter presence with 98,672 followers. The account demonstrates a content-creator strategy, averaging 618.8 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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