PUMA South Africa
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124,197
Followers
994
Following
30,971
Tweets
123.7
Avg Engagement
110
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PUMASouthAfrica'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:2014-01-28
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:62.1
- Avg Retweets per Tweet:61.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,219 tweetsThe account has a steady average engagement rate with likes and retweets, indicating a loyal and active audience. However, the engagement is not extremely high, suggesting room for growth.
62.1
Avg Likes/Tweet
61.6
Avg Retweets/Tweet
199,760
Total Likes
198,387
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
2
Median Retweets
33
75th Percentile
31,188
Top Tweet
1.0
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
61.3%
Original
14.2%
Replies
21.7%
Retweets
2.8%
Quotes
0.0%
Threads
0.2%
With Media
86.7%
With Links
44.6%
With #Tags
73.1%
With @Mentions
60.3%
With Emojis
146
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,219 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 700 retweets (22% 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 3,219 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 10,000 followersThe audience likely includes sports fans, especially football enthusiasts, and South African consumers interested in fashion and culture. They are also drawn to emotional and nostalgic content.
Average
Audience Quality
25.3%
Suspicion Index
27.5%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.8%
Empty Bio
29.6%
<10 Tweets
19.5%
Mass Following (>2K)
0.0%
New (<90 days)
45.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
18.2%
<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.
24,621,849
Total Potential Reach
67
Median Follower Reach
298
75th Percentile Reach
9.5%
>1K followers
1.1%
>10K followers
0.2%
>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).
45.9%
Creators
4,591 accounts
24.5%
Consumers
2,447 accounts
29.6%
Dormant
2,962 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):
26
Verified Followers
0.26% of total
643
Protected Accounts
6.43% of total
3 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 | 14,093,768 | Wrestler | Wrestling, Motivation, Self-promotion |
| @antony00 | 1,340,344 | Soccer Player | Futebol, Ajax, Contato |
| @iownjd | 772,206 | Lawyer | learn, inspire, engage |
| @460k_ | 460,140 | - | - |
| @Moreno | 430,987 | Influencer | Business, Manager, Serious |
| @tumi_morake | 276,745 | Comedian | Comedy, Radio, TV |
| @Robot_Boii | 270,927 | Entertainer | Meme, Music, Travel |
| @KeletsoMss | 268,786 | - | - |
| @Radebe_merci | 246,951 | Influencer | Fashion, Desserts, Brand Collaborations |
| @Grit_SportsNews | 228,648 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,322
Followers With Bio
3,678
Followers Without Bio
63.22%
% With Bio
36.78%
% 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 3,219 analyzed93,034
Combined Engagement
0
Total Likes
93,034
Total Retweets
18,607
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @WholesomeMeme: https://t.co/YlpmoLsVkq
RT @LewisHamilton: YOU CAN DO ANYTHING YOU PUT YOUR MIND TO! This weekend is proof. We fought this battle on the track and I couldn’t be more proud of @mercedesamgf1 and my incredible teammate @valtteribottas who I couldn’t do this without. EU AMO BRASIL 🇧🇷🇧🇷🇧🇷 We keep fighting,
RT @MercedesAMGF1: GEORGE RUSSELL IS AN @F1 GRAND PRIX WINNER!! HE TAKES THE FLAG FIRST IN SÃO PAULO 👏👏 https://t.co/ZbEuVoZCru
RT @davido: My collection with PUMA will be released globally on April 7th! Thank you to everyone for patiently waiting on this, it means the world to me. I will be doing meet and greets at PUMA stores in New York and UK, just before my shows and would love to see you all there!
RT @davido: IDAN @puma #NYFW 2022 🤯😇 https://t.co/W7lAuBTa52
Key Insights & Takeaways
The account frequently shares emotional tributes and memorials, which may help build a deeper connection with followers. It leverages local and international celebrities to increase visibility and relevance. Promotional content about products and events is well-balanced with storytelling and community engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 124,197
- + 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 @PUMASouthAfrica reveals an well-established Twitter presence with 124,197 followers. The account demonstrates a content-creator strategy, averaging 123.7 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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