Cape Town Spurs FC
Welcome to the official Twitter page of Cape Town Spurs Football Club. Founded: 1970 #UrbanWarriors 🔴⚪️🔱
187,983
Followers
1,810
Following
35,467
Tweets
18.9
Avg Engagement
308
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CapeTownSpursFC'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:2010-01-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:16.4
- Avg Retweets per Tweet:2.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account shows average engagement with likes and retweets, suggesting a consistent but not highly interactive audience. The content is well-received, with a focus on club news and youth initiatives.
16.4
Avg Likes/Tweet
2.5
Avg Retweets/Tweet
53,215
Total Likes
8,082
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
17
75th Percentile
1,289
Top Tweet
0.1
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
88.9%
Original
7.9%
Replies
0.2%
Retweets
3.0%
Quotes
0.0%
Threads
0.1%
With Media
52.9%
With Links
89.7%
With #Tags
7.6%
With @Mentions
79.1%
With Emojis
143
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
13.71
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.5%
Weekday Posts
42.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 7 retweets (0% 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 3,250 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 likely local football fans and supporters of youth development initiatives. The content also appeals to those interested in club history and community projects.
Average
Audience Quality
27.1%
Suspicion Index
27.7%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.2%
Empty Bio
40.0%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
52.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
25.3%
<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.
24,548,242
Total Potential Reach
37
Median Follower Reach
179
75th Percentile Reach
7.1%
>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).
31.7%
Creators
15,827 accounts
28.3%
Consumers
14,162 accounts
40.0%
Dormant
20,011 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):
44
Verified Followers
0.04% of total
5,916
Protected Accounts
5.86% of total
5 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 |
|---|---|---|---|
| @KameronBennett | 1,819,572 | DJ | Music, DJing, Booking |
| @TheRealPitso | 1,215,220 | Football Coach | Football, Coaching, Awards |
| @danielmarven | 900,607 | Entrepreneur | Entrepreneur, Activist, Artist |
| @GettySport | 882,125 | Photographer | sports, photography, news |
| @ZachBoychuk | 828,817 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @FCBayernUS | 782,429 | Sports Team | Soccer, Sports, Team |
| @ASRomaEN | 719,462 | Sports Team | Football, Soccer, Sports |
| @TakaTina1 | 607,318 | Comedian | Comedy, Trendsetting, Brand Promotion |
| @ReasonHD | 538,064 | Rapper | Music, Knowledge, Fire |
| @MasechabaAfrica | 530,258 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,483
Followers With Bio
35,516
Followers Without Bio
64.84%
% With Bio
35.16%
% 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 3,250 analyzed4,438
Combined Engagement
3,515
Total Likes
923
Total Retweets
888
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Club Statement. https://t.co/BsP1waIgtF
Welcome to the club, Maurice Finck ✍️ #CapeTownSpurs #UrbanWarriors #MotsepeFoundationChampionship #OURYOUTHOURFUTURE https://t.co/ijJnuyC37M
Ajax Cape Town launch application to be renamed Cape Town Spurs. Full statement ➡️ https://t.co/AE0u58ppwx ⚪️🔴⚽️ https://t.co/6FQnUkmIgq
how it started: how it's going: https://t.co/K15K1juheW
The Eagle has landed. 🔴 #GladAfricaChampionship #CapeTownSpurs #UrbanWarriors https://t.co/zjkE4u37Mu
Key Insights & Takeaways
The account emphasizes youth development and community projects, which resonate with its audience. It frequently shares club announcements and historical updates, reinforcing its role as an informational hub. The use of hashtags and emojis suggests an effort to engage younger and more visually-oriented followers.
Strengths
- + Established follower base of 187,983
- + 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 @CapeTownSpursFC reveals an growing Twitter presence with 187,983 followers. The account demonstrates a content-creator strategy, averaging 18.9 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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