Paul Carrick Brunson
Co-host MAFS UK & Celebs Go Dating | Global Relationship Insights Expert @tinder | Founding trustee @BAUINTDC | Building schools in Jamaica 🇯🇲
109,735
Followers
28,273
Following
80,872
Tweets
20.5
Avg Engagement
1,360
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PaulCBrunson'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:2009-10-15
- Verification:No
- Location:London | New York City
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:17.9
- Avg Retweets per Tweet:2.6
- Followers Analyzed:10,996
Engagement Analysis
Based on 3,219 tweetsPaul's tweets receive an average of 753 likes and 79 retweets, indicating a loyal and engaged audience. His content often includes personal reflections and celebratory messages that resonate with followers.
17.9
Avg Likes/Tweet
2.6
Avg Retweets/Tweet
57,556
Total Likes
8,530
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
13
75th Percentile
1,665
Top Tweet
0.19
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
23.7%
Original
60.9%
Replies
2.8%
Retweets
12.6%
Quotes
0.0%
Threads
1.3%
With Media
24.4%
With Links
12.5%
With #Tags
61.0%
With @Mentions
36.0%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.56
Reply/Original Ratio
4.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
89.4%
Weekday Posts
10.6%
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 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 90 retweets (3% 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 10,996 followersHis audience includes fans of reality TV, relationship enthusiasts, and followers of his social impact work. They are likely interested in personal development, love, and social causes.
Good
Audience Quality
17.8%
Suspicion Index
23.0%
Low-Quality %
96
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.9%
Empty Bio
12.1%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
34.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.1%
No URL
7.1%
<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.
16,374,233
Total Potential Reach
96
Median Follower Reach
334
75th Percentile Reach
10.1%
>1K followers
1.3%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.3%
Creators
7,837 accounts
16.6%
Consumers
1,827 accounts
12.1%
Dormant
1,332 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):
72
Verified Followers
0.65% of total
1,887
Protected Accounts
17.16% of total
9 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 | 1,331,083 | Restaurateur | Food, Travel, Influencer |
| @Channel4 | 1,009,877 | Media | Conversations, Laughter, Change |
| @bbcthree | 740,285 | Media | TV, entertainment, humor |
| @glennkirschner2 | 722,591 | Legal Analyst | Law, Justice, Politics |
| @timlovejoy | 609,307 | TV Host | TV, Podcasting, Food |
| @Thembisile_Q | 425,306 | Recording Artist | Music, Songwriting, Hairdressing |
| @demetsagiroglu | 395,262 | Singer | music, communication, information |
| @STU_ACTOR | 341,209 | Actor | Acting, British, TV |
| @jamaicastar | 266,426 | News Outlet | Entertainment, Sports, Reggae |
| @StevenBartlett | 244,834 | Entrepreneur | business, podcasting, investing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,725
Followers With Bio
4,273
Followers Without Bio
61.15%
% With Bio
38.85%
% 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 analyzed6,142
Combined Engagement
4,195
Total Likes
1,947
Total Retweets
1,228
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @marwilliamson: If our goal was to eradicate poverty, we would eradicate poverty.
🙏🏾 https://t.co/jW0CJntp2M
The older I get, the smaller my circle becomes in size, but the more it increases in value.
Congratulations to the NEWLY ENGAGED Tayah & Adam. I love you both dearly ❤️❤️❤️❤️ #MAFUK https://t.co/1BYJOyUIrv
When my son Liam was 5-years-old explaining the difference between how to say “water” in the U.S. versus how to say it in Jamaica 🤣 https://t.co/K3PQptN2wa
Key Insights & Takeaways
He shares personal reflections on relationships and life changes He celebrates and supports couples, especially those in the public eye He uses Twitter to promote his work and connect with his audience
Strengths
- + Established follower base of 109,735
- + 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 @PaulCBrunson reveals an growing Twitter presence with 109,735 followers. The account demonstrates a conversation-first approach, averaging 20.5 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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