Matty.
Music, Lifestyle, Golf.
237,932
Followers
903
Following
47,732
Tweets
2,741.6
Avg Engagement
700
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @matty_selley'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:2010-10-19
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3,216
- Avg Likes per Tweet:141.1
- Avg Retweets per Tweet:2,600.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,216 tweetsOn average, his tweets receive over 14,000 likes and 1,300 retweets, indicating a highly engaged audience. His content is well-received and often shared.
141.1
Avg Likes/Tweet
2,600.5
Avg Retweets/Tweet
453,654
Total Likes
8,363,271
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
3
Median Retweets
96
75th Percentile
639,699
Top Tweet
11.52
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
33.9%
Original
21.6%
Replies
22.3%
Retweets
22.1%
Quotes
0.0%
Threads
0.3%
With Media
42.2%
With Links
13.5%
With #Tags
59.8%
With @Mentions
41.9%
With Emojis
69
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.64
Reply/Original Ratio
0.99
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,216 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 717 retweets (22% 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 3,216 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 50,000 followersHis audience likely includes music enthusiasts, lifestyle followers, and golf fans. The mix of topics suggests a diverse demographic interested in entertainment and culture.
Good
Audience Quality
15.0%
Suspicion Index
18.5%
Low-Quality %
105
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.2%
Empty Bio
15.4%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
27.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.6%
No URL
8.8%
<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.
54,267,559
Total Potential Reach
105
Median Follower Reach
376
75th Percentile Reach
9.8%
>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).
66.2%
Creators
33,096 accounts
18.4%
Consumers
9,204 accounts
15.4%
Dormant
7,700 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):
69
Verified Followers
0.07% of total
10,328
Protected Accounts
10.23% of total
9 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 |
|---|---|---|---|
| @AndreaRussett | 6,799,011 | Influencer | Music, Freezing, Entertainment |
| @6BillionPeople | 2,034,565 | - | - |
| @KameronBennett | 1,815,756 | DJ | Music, DJing, Booking |
| @dariusrucker | 1,592,489 | Musician | Music, Touring, Beer |
| @TheVampsTristan | 1,467,136 | Musician | Touring, Makeup, Music |
| @LILBTHEBASEDGOD | 1,247,993 | Rapper | Music, Writing, Film |
| @frafacchinetti | 1,235,555 | Entertainer | Music, Entertainment, Technology |
| @CybersmileHQ | 1,156,447 | Nonprofit | kindness, equality, inclusion |
| @LeBronJames | 1,005,030 | - | - |
| @FrankKhalidUK | 990,540 | Businessman | Chelsea FC, Philanthropy, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
73,680
Followers With Bio
27,301
Followers Without Bio
72.96%
% With Bio
27.04%
% 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 3,216 analyzed2,291,219
Combined Engagement
0
Total Likes
2,291,219
Total Retweets
458,244
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @NiallOfficial: applied for xfactor,hope it all wrks out
RT @onedirection: Tomorrow! You and me got a whole lot of history #10YearsOf1D https://t.co/nwxrm5MSE9
RT @MariahCarey: Challenge accepted! #bottletopchallenge https://t.co/Rygijd6z5W
RT @Harry_Styles: Harry’s House. May 20th. https://t.co/gvNJsccEz5
RT @MarvelStudios: Part of the journey is the end. https://t.co/vejn1Bx8Nz
Key Insights & Takeaways
He frequently engages with music industry figures and events, which drives high engagement. His content is tailored to appeal to a broad audience with varied interests. He leverages trending topics and notable achievements to boost visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 237,932
- + 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 @matty_selley reveals an exceptionally influential Twitter presence with 237,932 followers. The account demonstrates a content-creator strategy, averaging 2,741.6 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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