Maritzburg United FC
The Official Maritzburg United Football Club Twitter Feed.
256,616
Followers
2,033
Following
19,086
Tweets
34.0
Avg Engagement
214
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MaritzburgUtd'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:2011-05-25
- Verification:No
- Location:Pietermaritzburg
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:30.4
- Avg Retweets per Tweet:3.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsThe account maintains consistent engagement with its followers, indicating a loyal fan base. The average likes and retweets suggest that the content is well-received and shared within the community.
30.4
Avg Likes/Tweet
3.6
Avg Retweets/Tweet
98,555
Total Likes
11,668
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
1
Median Retweets
26
75th Percentile
6,971
Top Tweet
0.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
87.4%
Original
6.5%
Replies
5.0%
Retweets
1.1%
Quotes
0.0%
Threads
0.0%
With Media
49.0%
With Links
89.6%
With #Tags
41.9%
With @Mentions
39.7%
With Emojis
130
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.1%
Weekday Posts
42.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 162 retweets (5% 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 3,246 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 followersThe primary audience is football fans and supporters of Maritzburg United, likely based in South Africa. The content is also shared with a broader audience interested in football news and club updates.
Average
Audience Quality
30.2%
Suspicion Index
35.4%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.0%
Empty Bio
50.7%
<10 Tweets
10.8%
Mass Following (>2K)
0.0%
New (<90 days)
55.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
34.7%
<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.
21,471,155
Total Potential Reach
24
Median Follower Reach
129
75th Percentile Reach
5.4%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
24.4%
Creators
12,211 accounts
24.9%
Consumers
12,460 accounts
50.7%
Dormant
25,329 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):
30
Verified Followers
0.03% of total
4,726
Protected Accounts
4.73% 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 |
|---|---|---|---|
| @ChrisExcel102 | 1,659,125 | Influencer | Savage, AssHole, King |
| @TheRealPitso | 1,214,725 | Football Coach | Football, Coaching, Awards |
| @Masandawana | 1,073,846 | Football Club | Football, Champions, Success |
| @Soccer_Laduma | 1,065,277 | Sports Journalist | Soccer, Publication, Africa |
| @moflavadj | 832,599 | Radio Host | House Music, Radio, TV |
| @tumisole | 814,130 | Influencer | Running, Corporate, Influential |
| @TakaTina1 | 606,622 | Comedian | Comedy, Trendsetting, Brand Promotion |
| @Newzroom405 | 548,481 | News Channel | News, Africa, Broadcasting |
| @MasechabaAfrica | 530,282 | - | - |
| @CAFCLCC | 510,590 | Sports Media | Football, Africa, Competitions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,996
Followers With Bio
33,004
Followers Without Bio
67.0%
% With Bio
33.0%
% 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 3,246 analyzed12,949
Combined Engagement
11,534
Total Likes
1,415
Total Retweets
2,590
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
🇿🇦🇿🇦🇿🇦 All the best to @KaizerChiefs in their CAF final tonight! 👏 #WeAreUnited https://t.co/ixptMRH89i
Welcome on board, Gift of the Givers as our new title partner! #WeAreUnited https://t.co/tGRzRK9FO0
The Club can confirm we have finalized a transfer with @MNUFC for Bongokhule Hlongwane. The Striker will join @MNUFC ahead of the @MLS season which kicks off in February. We thank "Sanisa" for his contribution to the Club and City and wish him all the success #WeAreUnited htt
🟡 Congrats Mamelodi Sundowns 🏆 Well done, @Masandawana on claiming the 2020/21 #DSTVPremiership title. #WeAreUnited https://t.co/j7hqcmgReG
Goal scorer, match winner! 👏 Our very own, Bongokuhle Hlongwane! Take a bow 🙇 We’re not crying, you are! 😢 #WeAreUnited https://t.co/BkLbbE3f5l
Key Insights & Takeaways
The account frequently collaborates with other organizations, such as Gift of the Givers, indicating a focus on community engagement and partnerships. Content often highlights key events like CAF finals, showing a strategic emphasis on major matches and milestones. The club actively communicates transfer news, which helps maintain fan interest and anticipation for future seasons.
Strengths
- + Established follower base of 256,616
- + 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 @MaritzburgUtd reveals an growing Twitter presence with 256,616 followers. The account demonstrates a content-creator strategy, averaging 34.0 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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