Soccer Laduma
The Leading Soccer Publication In Africa! ⏩ @SLLocal ⏩ @SL_Pod
1,090,970
Followers
896
Following
260,721
Tweets
30.5
Avg Engagement
1,376
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Soccer_Laduma'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: Mega Influencer (1M+)
- Account Age:2009-07-22
- Verification:No
- Location:South Africa
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:28.7
- Avg Retweets per Tweet:1.8
- Followers Analyzed:50,000
- Following Analyzed:25
Engagement Analysis
Based on 3,250 tweetsThe account maintains a consistent level of engagement with an average of 1,608 likes and 90 retweets per tweet. The content is well-received, indicating a loyal and active audience.
28.7
Avg Likes/Tweet
1.8
Avg Retweets/Tweet
93,125
Total Likes
5,892
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
27
75th Percentile
3,341
Top Tweet
0.03
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
87.8%
Original
0.1%
Replies
11.9%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
87.5%
With Links
78.6%
With #Tags
15.8%
With @Mentions
29.6%
With Emojis
201
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
79.3%
Weekday Posts
20.7%
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 387 retweets (12% 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 includes soccer fans in Africa and beyond, particularly those interested in African football and international players. The content appeals to both casual fans and dedicated followers of the sport.
Below Average
Audience Quality
37.7%
Suspicion Index
55.5%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.8%
Empty Bio
65.0%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
65.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.5%
No URL
48.2%
<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.
7,758,020
Total Potential Reach
8
Median Follower Reach
41
75th Percentile Reach
1.7%
>1K followers
0.1%
>10K followers
0.0%
>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).
13.5%
Creators
6,756 accounts
21.5%
Consumers
10,761 accounts
65.0%
Dormant
32,483 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):
38
Verified Followers
0.04% of total
5,777
Protected Accounts
5.78% of total
2 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 |
|---|---|---|---|
| @danielmarven | 897,675 | Entrepreneur | Entrepreneur, Activist, Artist |
| @THE_THEO_FORD | 469,319 | - | - |
| @947 | 447,862 | Radio Station | Music, news, entertainment |
| @zammit_marc | 387,962 | Filmmaker | Film, Acting, Producing |
| @johnnjenga | 278,168 | Academic | Politics, Memory, Research |
| @Grit_SportsNews | 229,869 | - | - |
| @MrTheoHughes | 188,720 | Writer | Technology, Innovation, Entrepreneurship |
| @Khalidchukuchuk | 165,689 | - | - |
| @NoMmabatho | 147,531 | Unknown | Taurus, Mopedi, Love |
| @SSFootball | 115,457 | Sports Journalist | Football, News, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,595
Followers With Bio
51,405
Followers Without Bio
48.59%
% With Bio
51.41%
% 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 3,250 analyzed12,116
Combined Engagement
11,518
Total Likes
598
Total Retweets
2,423
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
How do you rate Bafana's new attack? 🇿🇦 https://t.co/Ps1UQMECMr
Jadon Sancho specifically requested one-on-one training with Benni McCarthy to get his groove back! 🕺 Source: Daily Mail https://t.co/9mzmzIOQUr
Happy birthday to former Bafana Bafana star Surprise Moriri 🥳 https://t.co/h6dznWmE69
Do you agree with coach Arthur Zwane? 🤔 https://t.co/0S8XQ2O4P8
Jomo Sono has suggested that Downs’ jersey number 10, currently worn by Sirino, be handed to Zwane. Do you agree? 🤔 https://t.co/V2JGz85l2h
Network & Following Analysis
Based on 25 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
0.0%
Verified Accounts
0.0%
High Authority (>50K)
68.0%
Dormant Accounts
36.0%
Low Quality
2
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
100.0%
Individuals
25 accounts
0.0%
Brands/Orgs
0 accounts
0.0%
Media/News
0 accounts
Most Influential Accounts They Follow
Key Insights & Takeaways
The account frequently highlights African national teams and players, showing a strong focus on local football. It often shares news from reputable international sources, indicating a blend of local and global coverage. The inclusion of birthday tributes and player updates suggests a community-driven approach to content creation.
Strengths
- + Established follower base of 1,090,970
- + 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 @Soccer_Laduma reveals an growing Twitter presence with 1,090,970 followers. The account demonstrates a content-creator strategy, averaging 30.5 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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