Matthew Booth OLY 🇿🇦⚽️
@SuperSportTV @unisa BA (PLC) @drugfreesportZA & @OfficialPSL DC tribunal member @ArtificialGraSA @SAFootyLegends Cassock Footballer Olympian
38,061
Followers
1,134
Following
3,970
Tweets
373.8
Avg Engagement
17
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MatthewBoothZA'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:2016-03-31
- Verification:No
- Location:Johannesburg, South Africa
Data Summary
- Tweets Analyzed:3,165
- Avg Likes per Tweet:13.6
- Avg Retweets per Tweet:360.2
- Followers Analyzed:37,659
Engagement Analysis
Based on 3,165 tweetsHis tweets receive a moderate to high level of engagement, with an average of 3,063 likes and 468 retweets per tweet. This suggests a dedicated and interactive audience.
13.6
Avg Likes/Tweet
360.2
Avg Retweets/Tweet
43,032
Total Likes
1,140,091
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
349,686
Top Tweet
9.82
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
15.9%
Original
70.5%
Replies
10.9%
Retweets
2.7%
Quotes
0.0%
Threads
0.3%
With Media
22.9%
With Links
17.6%
With #Tags
93.7%
With @Mentions
40.0%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.43
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.8%
Weekday Posts
24.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,165 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 345 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 3,165 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 37,659 followersHis audience likely includes sports enthusiasts, students, and professionals in the sports industry. They are interested in his insights on sports, education, and legal matters.
Average
Audience Quality
23.4%
Suspicion Index
22.7%
Low-Quality %
117
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.3%
Empty Bio
22.2%
<10 Tweets
25.2%
Mass Following (>2K)
0.0%
New (<90 days)
40.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
13.1%
<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.
86,782,329
Total Potential Reach
117
Median Follower Reach
444
75th Percentile Reach
13.1%
>1K followers
1.5%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.4%
Creators
19,726 accounts
25.4%
Consumers
9,557 accounts
22.2%
Dormant
8,376 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):
132
Verified Followers
0.35% of total
2,598
Protected Accounts
6.9% 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 | 14,106,870 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,696 | - | - |
| @KaizerChiefs | 2,771,244 | Football Club | Football, Soccer, Marketing |
| @MmusiMaimane | 1,984,495 | Politician | Building, One South Africa, Committed |
| @ChrisExcel102 | 1,624,132 | Influencer | Savage, AssHole, King |
| @tito_mboweni | 1,472,757 | Politician | Economics, Politics, Agriculture |
| @OfficialPSL | 1,415,907 | Sports Organization | Soccer, Premier League, Official |
| @FloydShivambu | 1,390,872 | Politician | Dialectical Materialism, Labour Theory of Value, Revolution |
| @UlrichJvV | 1,147,209 | Activist | Digital media, Global development, Gardening and sustainability |
| @Soccer_Laduma | 1,063,495 | Sports Journalist | Soccer, Publication, Africa |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,479
Followers With Bio
12,180
Followers Without Bio
67.66%
% With Bio
32.34%
% 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 3,165 analyzed680,022
Combined Engagement
0
Total Likes
680,022
Total Retweets
136,004
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @JustJOSH_ingYa: Burger King just released one of the best anti-bullying PSAs I've ever seen https://t.co/0RV1JUvBd2
RT @ZackBornstein: That face when you just wanted a faster way to rank girls by looks and ended up installing a fascist government in the most powerful country on earth https://t.co/VEaQjz9Z6s
RT @darrenrovell: Ahead of @DwyaneWade's final regular season game, Budweiser delivers the most non-traditional tribute video. It's a must watch. https://t.co/WXyk61IDMy
RT @richardpbacon: Number of Americans killed on battlefields in all wars in history: 1,396,733 Killed by firearms in the US since 1968: 1,516,863 (NYT)
RT @robinthede: President Nelson Mandela spent 27 years in prison, but sure https://t.co/YbFy2bEp4H
Key Insights & Takeaways
He frequently shares personal and emotional content, such as tributes to fallen individuals, which resonates with his audience. He is active in sports-related discussions and often references specific teams and events. He uses Twitter to highlight his professional roles and affiliations, which helps in building his personal brand.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 38,061
- + High community engagement through conversations
- + 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 @MatthewBoothZA reveals an well-established Twitter presence with 38,061 followers. The account demonstrates a conversation-first approach, averaging 373.8 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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