Paddy Raff
Multi-award winning Belfast comedian - Enquiries: [email protected] (Management) / [email protected] (Agent)
46,384
Followers
804
Following
4,933
Tweets
460.1
Avg Engagement
44
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @paddyraffcomedy'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: Mid-Tier (10K+)
- Account Age:2018-06-02
- Verification:No
- Location:Belfast, Northern Ireland
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:394.8
- Avg Retweets per Tweet:65.4
- Followers Analyzed:46,594
Engagement Analysis
Based on 3,247 tweetsPaddy Raff's tweets consistently receive high engagement, with an average of 70k likes and 10k retweets, indicating strong audience interaction and popularity. His content is well-received and often shared widely.
394.8
Avg Likes/Tweet
65.4
Avg Retweets/Tweet
1,281,855
Total Likes
212,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
61
Median Likes
2
Median Retweets
184
75th Percentile
432,451
Top Tweet
9.92
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
65.4%
Original
21.5%
Replies
2.5%
Retweets
10.6%
Quotes
0.0%
Threads
0.6%
With Media
61.2%
With Links
7.1%
With #Tags
24.9%
With @Mentions
26.0%
With Emojis
120
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
4.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.1%
Weekday Posts
26.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 81 retweets (2% 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 3,247 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 46,594 followersHis audience primarily consists of comedy enthusiasts and social media users who appreciate humor and relatable content. The engagement suggests a broad appeal across different age groups and interests.
Average
Audience Quality
20.2%
Suspicion Index
28.7%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.8%
Empty Bio
16.4%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
35.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
10.6%
<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.
64,764,326
Total Potential Reach
92
Median Follower Reach
304
75th Percentile Reach
8.9%
>1K followers
1.0%
>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).
66.9%
Creators
31,176 accounts
16.7%
Consumers
7,793 accounts
16.4%
Dormant
7,625 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):
362
Verified Followers
0.78% of total
7,696
Protected Accounts
16.52% 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 |
|---|---|---|---|
| @JohnCena | 14,106,550 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,269 | - | - |
| @noaheverett | 3,182,075 | Entrepreneur | tech, entrepreneurship, photography |
| @jdickerson | 1,919,118 | Journalist | News, Politics, Journalism |
| @EamonnHolmes | 1,103,892 | TV Presenter | TV, Trustee, Television |
| @hodgman | 1,004,194 | Comedian | comedy, writing, podcasting |
| @Swannyg66 | 921,285 | Commentator | Cricket, Commentating, Speaking |
| @BruceVH | 587,438 | Life Coach | Podcast, Speaker, Optimist |
| @MaraWilson | 573,138 | Actress | Instagram, Cameo, Book |
| @DaveWeasel | 514,244 | Comedian | comedy, podcasting, live events |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,780
Followers With Bio
21,814
Followers Without Bio
53.18%
% With Bio
46.82%
% 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 3,247 analyzed757,526
Combined Engagement
620,993
Total Likes
136,533
Total Retweets
151,505
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
My 2 yr old daughter’s reaction to seeing the Hulk go bananas for the first time 😂 https://t.co/0lK0PbGWXi
Fish waking up in the Chicago River on St Patrick’s Day https://t.co/kHEKGolOAw
Every pub quiz team member in 20yrs time who knows everything about Coronavirus https://t.co/bnWoQrHygQ
Journalists stuck in 1970’s Belfast absolutely hating it https://t.co/wKR6DKB65B
RT @MarcusRashford: 🗣 to all MPs https://t.co/Dc4weMvTHN
Key Insights & Takeaways
His content often revolves around family humor and relatable parenting moments, which resonate strongly with his audience. He frequently shares viral or trending topics, which helps maintain relevance and engagement. His use of humor in everyday situations, such as public incidents or pop culture references, makes his tweets shareable and entertaining.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 46,384
- + 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 @paddyraffcomedy reveals an well-established Twitter presence with 46,384 followers. The account demonstrates a content-creator strategy, averaging 460.1 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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