Faf Du Plessis
*Jesus follower *Father *Husband *Pro cricketer
2,077,098
Followers
668
Following
4,599
Tweets
650.5
Avg Engagement
1,426
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @faf1307'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:2010-04-20
- Verification:No
- Location:Cape Town
Data Summary
- Tweets Analyzed:3,165
- Avg Likes per Tweet:570.2
- Avg Retweets per Tweet:80.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,165 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
570.2
Avg Likes/Tweet
80.3
Avg Retweets/Tweet
1,804,596
Total Likes
254,123
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
5
Median Retweets
106
75th Percentile
193,856
Top Tweet
0.31
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
39.7%
Original
37.9%
Replies
19.5%
Retweets
2.9%
Quotes
0.0%
Threads
1.1%
With Media
35.6%
With Links
33.5%
With #Tags
73.4%
With @Mentions
11.9%
With Emojis
101
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.96
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.1%
Weekday Posts
23.9%
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 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 616 retweets (19% 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 50,000 followersHis followers include fans of cricket, people interested in faith and family life, and those who follow sports personalities.
Below Average
Audience Quality
41.1%
Suspicion Index
54.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.8%
Empty Bio
62.2%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
89.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.1%
No URL
42.5%
<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.
18,510,315
Total Potential Reach
3
Median Follower Reach
12
75th Percentile Reach
0.6%
>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).
14.5%
Creators
7,248 accounts
23.3%
Consumers
11,653 accounts
62.2%
Dormant
31,099 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):
79
Verified Followers
0.08% of total
7,423
Protected Accounts
7.42% 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 |
|---|---|---|---|
| @JohnCena | 14,105,596 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,335,293 | Restaurateur | Food, Travel, Influencer |
| @IamMzilikazi | 543,688 | Musician | Pan-African music, Album, Rise |
| @BBL | 526,330 | Cricket | Cricket, Big Bash, KFC |
| @Sheldon_Sniper | 437,363 | - | - |
| @jacarandafm | 431,107 | Radio Broadcaster | Music, Radio, South Africa |
| @ArianaNews_ | 417,857 | News Network | News, Current Affairs, Television |
| @SSscoop475 | 241,620 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @Grit_SportsNews | 229,936 | - | - |
| @DMTLAND_ | 162,923 | Business Intelligence | DMT, Business Intelligence, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,203
Followers With Bio
58,797
Followers Without Bio
41.2%
% With Bio
58.8%
% 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 analyzed500,882
Combined Engagement
469,659
Total Likes
31,223
Total Retweets
100,176
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
🙏❤️ https://t.co/YO9FWuOCGt
@imVkohli wow 🔥🔥🔥
Thank you everyone for all the messages of support. I'm back at the hotel recovering. Have concussion with some memory loss but I will be fine. Hopefully be back on the field soon. Much love. ❤️
Happy Diwali to all my Indian followers !!! 🙏
Thank you so much for all the kind messages . It means a lot to me . Stay safe ❤️
Key Insights & Takeaways
faf1307's personal life and faith are central to his public image. He shares both professional achievements and personal updates with his audience. His engagement suggests a loyal and active fan base that connects with his authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,077,098
- + 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 @faf1307 reveals an well-established Twitter presence with 2,077,098 followers. The account demonstrates a content-creator strategy, averaging 650.5 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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