Paul F. Tompkins
TV & standup & improv & podcasts, hardly any movies Instagram: https://www.facebook.com/unsupportedbrowser
1,191,224
Followers
3,004
Following
100,625
Tweets
1,166.2
Avg Engagement
6,829
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PFTompkins'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:2008-11-29
- Verification:No
- Location:HOLLYWOOD, U.S.A.
Data Summary
- Tweets Analyzed:3,118
- Avg Likes per Tweet:272.7
- Avg Retweets per Tweet:893.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,118 tweetsTheir tweets typically receive an average of 20,415 likes and 1,149 retweets, showing strong audience interaction. They frequently use calls to action, which boost engagement.
272.7
Avg Likes/Tweet
893.5
Avg Retweets/Tweet
850,363
Total Likes
2,785,954
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
4
Median Retweets
287
75th Percentile
253,308
Top Tweet
0.98
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
8.4%
Original
48.2%
Replies
38.7%
Retweets
4.7%
Quotes
0.0%
Threads
0.6%
With Media
29.7%
With Links
4.5%
With #Tags
79.9%
With @Mentions
3.0%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.74
Reply/Original Ratio
0.12
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 3,118 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 1,207 retweets (39% 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 3,118 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 followersThe audience primarily consists of comedy enthusiasts and fans of TV and podcasts. They are highly engaged and often participate in conversations and polls.
Average
Audience Quality
23.1%
Suspicion Index
24.2%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.6%
Empty Bio
20.9%
<10 Tweets
14.4%
Mass Following (>2K)
0.0%
New (<90 days)
53.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
13.8%
<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.
60,782,786
Total Potential Reach
44
Median Follower Reach
183
75th Percentile Reach
6.4%
>1K followers
0.9%
>10K followers
0.3%
>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).
60.6%
Creators
30,324 accounts
18.4%
Consumers
9,208 accounts
20.9%
Dormant
10,468 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):
965
Verified Followers
0.96% of total
11,463
Protected Accounts
11.35% of total
7 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 | 14,105,465 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jdickerson | 1,917,654 | Journalist | News, Politics, Journalism |
| @WhitneyCummings | 1,427,572 | Comedian | comedy, podcasting, touring |
| @shirtsthtgohard | 1,411,354 | Fashion Influencer | shirts, designs, creators |
| @TheSimpsons | 1,312,335 | Animation | TV, Animation, Comedy |
| @SadiqKhan | 1,153,498 | Politician | Politics, Environment, London |
| @desusnice | 1,012,725 | Author | comedy, podcasting, basketball |
| @jonlovett | 823,020 | Podcaster | politics, podcasting, humor |
| @LAist | 787,325 | News outlet | news, politics, culture |
| @julieplec | 760,172 | TV Producer | vampires, witches, aliens |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,073
Followers With Bio
32,924
Followers Without Bio
67.4%
% With Bio
32.6%
% 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 3,118 analyzed644,861
Combined Engagement
130,466
Total Likes
514,395
Total Retweets
128,972
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
Why did they wait til they got to Flipdaddy’s to let the baby see https://t.co/lmb8dXaHwQ
RT @NiaMac_: There ain’t even BABY FORMULA ON THE SHELVES
RT @abnerpastoll: Absolutely incredible https://t.co/ZprAxIRhyu
RT @RachelShukert: The teachers sacrificed their lives for the kids but the cops wouldn’t. Think about that the next time your city is talk…
Key Insights & Takeaways
They use calls to action effectively to drive voter participation and engagement. They often apologize or express personal opinions, which humanizes their brand. They leverage humor and relatable topics to connect with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,191,224
- + 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 @PFTompkins reveals an exceptionally influential Twitter presence with 1,191,224 followers. The account demonstrates a conversation-first approach, averaging 1,166.2 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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