Ryan Mason
First Team Coach @spursofficial
310,314
Followers
356
Following
3,325
Tweets
627.5
Avg Engagement
695
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RyanMason'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:2011-01-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,163
- Avg Likes per Tweet:267.0
- Avg Retweets per Tweet:360.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,163 tweetsHis tweets receive a high average number of likes and retweets, showing strong audience interaction. The content often resonates emotionally with his followers, fostering a sense of community.
267.0
Avg Likes/Tweet
360.5
Avg Retweets/Tweet
844,536
Total Likes
1,140,254
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
47
75th Percentile
310,254
Top Tweet
2.02
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
46.2%
Original
35.4%
Replies
11.1%
Retweets
7.2%
Quotes
0.0%
Threads
0.1%
With Media
18.7%
With Links
17.5%
With #Tags
59.8%
With @Mentions
19.5%
With Emojis
75
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,163 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 352 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 3,163 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 primarily consists of Tottenham fans and football enthusiasts interested in his coaching journey. The verified status of a small percentage indicates a mix of genuine followers and potential bots.
Average
Audience Quality
25.3%
Suspicion Index
27.4%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.8%
Empty Bio
26.6%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
56.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
16.9%
<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.
24,989,523
Total Potential Reach
37
Median Follower Reach
167
75th Percentile Reach
4.8%
>1K followers
0.4%
>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).
51.0%
Creators
25,493 accounts
22.4%
Consumers
11,208 accounts
26.6%
Dormant
13,299 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):
323
Verified Followers
0.32% of total
7,512
Protected Accounts
7.44% 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 |
|---|---|---|---|
| @SpursOfficial | 8,621,932 | Sports Team | Football, Soccer, #COYS |
| @David_Ornstein | 1,885,584 | Football Correspondent | - |
| @KameronBennett | 1,812,637 | DJ | Music, DJing, Booking |
| @Sporf | 1,387,107 | Sports Media | Sport, Conversation, Social Chain Group |
| @tribundergi | 1,296,240 | Sports Magazine | Football, Culture, Istanbul |
| @IAmJermainDefoe | 965,557 | Footballer | Football, RangersFC, England |
| @thisisanfield | 931,787 | Sports News | Liverpool FC, News, Analysis |
| @mrjakehumphrey | 880,726 | Sports Broadcaster | Podcast, BT Sport, High Performance |
| @NHSMillion | 795,097 | Supporters | Gratitude, Support, Campaign |
| @WipeHomophobia | 697,029 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,501
Followers With Bio
50,498
Followers Without Bio
50.0%
% With Bio
50.0%
% 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 3,163 analyzed700,745
Combined Engagement
0
Total Likes
700,745
Total Retweets
140,149
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @GameOfThrones: The trailer is here. #GameofThrones https://t.co/L48jOwsUzn
RT @rahulsetia007: I hope everyone takes a moment today to remember Saman Gunan, the Thai Navy Seal that died making sure the kids stuck in…
RT @BleacherReport: DAME FOR THE WIN https://t.co/KKr037LNZS
RT @LaverCup: If there's one thing you watch today, make it this. #LaverCup | @rogerfederer https://t.co/Ks9JqEeR6B
RT @enricosuave2: I've never seen such class yet such disrespect at the same time 😱😱😱 https://t.co/YiZGrFUFyu
Key Insights & Takeaways
Mason frequently shares personal reflections on his challenges and growth, which helps build a connection with his audience. He emphasizes the support from fans and players, highlighting the importance of community in sports. His tweets often include links to longer posts, suggesting he provides deeper insights into his experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 310,314
- + 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 @RyanMason reveals an well-established Twitter presence with 310,314 followers. The account demonstrates a content-creator strategy, averaging 627.5 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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