Pauli Van Wyk
I am an African. Journalist with @DailyMaverick's investigative team, Scorpio. A Daily Maverick reader named their pet after me. Mail: [email protected]
123,353
Followers
2,431
Following
38,841
Tweets
387.5
Avg Engagement
385
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PaulivW'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:2010-11-29
- Verification:No
- Location:South Africa
Data Summary
- Tweets Analyzed:3,164
- Avg Likes per Tweet:37.8
- Avg Retweets per Tweet:349.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,164 tweetsPaulivW's tweets receive a high average number of likes and retweets, indicating strong audience interaction and trust in their reporting. Their content is often shared widely, suggesting it resonates with a broad and engaged audience.
37.8
Avg Likes/Tweet
349.7
Avg Retweets/Tweet
119,615
Total Likes
1,106,503
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
21
Median Retweets
131
75th Percentile
129,628
Top Tweet
3.14
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
9.6%
Original
21.1%
Replies
63.8%
Retweets
5.4%
Quotes
0.0%
Threads
0.2%
With Media
57.8%
With Links
28.8%
With #Tags
86.8%
With @Mentions
9.1%
With Emojis
209
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.2
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.9%
Weekday Posts
14.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,164 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 2,020 retweets (64% 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 3,164 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 followersPaulivW's audience is primarily interested in South African politics and investigative journalism, with a strong presence of politically engaged citizens and media consumers. Their followers are likely to be active on social media and interested in current affairs.
Average
Audience Quality
28.0%
Suspicion Index
41.3%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.9%
Empty Bio
37.0%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
50.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
25.8%
<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.
7,806,472
Total Potential Reach
24
Median Follower Reach
113
75th Percentile Reach
4.7%
>1K followers
0.6%
>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).
38.7%
Creators
3,871 accounts
24.3%
Consumers
2,433 accounts
37.0%
Dormant
3,696 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):
42
Verified Followers
0.42% of total
725
Protected Accounts
7.25% 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 |
|---|---|---|---|
| @SinghLions | 1,331,270 | Restaurateur | Food, Travel, Influencer |
| @CityofCT | 432,997 | Government | Government, Cape Town, Community |
| @philosophytweet | 386,852 | - | - |
| @MasterKGsa | 368,552 | Musician | Music, Booking, WanitwaMos |
| @tveitdal | 345,324 | Environmental Activist | Climate Change, Renewable Energy, Nature |
| @Havenlust | 293,999 | Photographer | Photography, Travel, Art |
| @SSscoop475 | 244,761 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @Coreandor | 195,922 | Author | politics, thriller, author |
| @RealXavier011 | 193,605 | Entrepreneur | Music, Black Twitter, Events |
| @lebomashile | 158,642 | Poet | Poetry, Feminism, African culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,312
Followers With Bio
5,688
Followers Without Bio
43.12%
% With Bio
56.88%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,164 analyzed333,047
Combined Engagement
0
Total Likes
333,047
Total Retweets
66,609
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: @FedorovMykhailo Starlink service is now active in Ukraine. More terminals en route.
RT @elonmusk: Very important to fix your Twitter feed: 1. Tap home button. 2. Tap stars on upper right of screen. 3. Select “Latest tweets”. You are being manipulated by the algorithm in ways you don’t realize. Easy to switch back & forth to see the difference.
RT @ThomasVLinge: If you're gonna listen to any speech about #Ukraine 🇺🇦, let it be this one. The Kenya ambassador to the UNSC perfectly explains how people across Africa understand Ukraine, and what the Kremlin's acts of aggression mean in our post-colonial world. https://t.co/
RT @ragipsoylu: Insane. Don’t have any other words. The Kabul Airport. https://t.co/ylraJsDyme
RT @KevinRothrock: Police officers in Moscow today are stopping people, demanding to see their phones, READING THEIR MESSAGES, and refusing to release them if they refuse. This from Kommersant journalist Ana Vasilyeva. https://t.co/E8oBw3XPz1 https://t.co/rxk7AmdzOp
Key Insights & Takeaways
PaulivW's tweets often focus on political accountability and corruption within South African institutions. They frequently engage with current events and public figures, highlighting issues of governance and leadership. Their content is likely to influence public discourse and media coverage on key political topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,353
- + High community engagement through conversations
- + 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 @PaulivW reveals an well-established Twitter presence with 123,353 followers. The account demonstrates a conversation-first approach, averaging 387.5 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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