Tom Verica
director, producer, actor. Sam on How To Get Away With Murder. Currently Dir/Prod Netflix's QUEEN CHARLOTTE, BRIDGERTON, and INVENTING ANNA
51,148
Followers
671
Following
8,284
Tweets
1,616.2
Avg Engagement
383
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tomverica'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:2012-08-31
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:79.2
- Avg Retweets per Tweet:1,537.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,190 tweetsVerica's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared within his community.
79.2
Avg Likes/Tweet
1,537.0
Avg Retweets/Tweet
252,712
Total Likes
4,903,085
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
27
Median Likes
5
Median Retweets
109
75th Percentile
1,408,114
Top Tweet
31.6
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
28.2%
Original
5.7%
Replies
11.9%
Retweets
54.2%
Quotes
0.0%
Threads
0.8%
With Media
78.5%
With Links
59.4%
With #Tags
50.7%
With @Mentions
10.7%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
4.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.7%
Weekday Posts
14.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,190 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 381 retweets (12% 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 3,190 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 followersHis audience includes fans of his TV roles and followers of his professional projects. They are also interested in his personal life and relationship updates.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
94
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.8%
No URL
100.0%
<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.
57,578,004
Total Potential Reach
94
Median Follower Reach
361
75th Percentile Reach
11.4%
>1K followers
1.7%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,518
Protected Accounts
15.18% 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 |
|---|---|---|---|
| @netflix | 22,009,085 | Entertainment | Cardi B, Netflix, Petition |
| @JohnCena | 14,097,104 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KameronBennett | 1,805,156 | DJ | Music, DJing, Booking |
| @SinghLions | 1,325,770 | Restaurateur | Food, Travel, Influencer |
| @rogerhamilton | 920,734 | Entrepreneur | education, entrepreneurship, futurism |
| @ZachBoychuk | 823,738 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 799,441 | Activism | equality, bullying, discrimination |
| @theJeremyVine | 788,139 | Broadcaster | radio, eggheads, poetry |
| @IamMzilikazi | 555,600 | Musician | Pan-African music, Album, Rise |
| @THE_THEO_FORD | 475,754 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,037
Followers With Bio
2,963
Followers Without Bio
70.37%
% With Bio
29.63%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,190 analyzed3,004,646
Combined Engagement
0
Total Likes
3,004,646
Total Retweets
600,929
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/InZ58zkoAm
RT @POTUS: It's been the honor of my life to serve you. You made me a better leader and a better man.
RT @BarackObama: "People must learn to hate, and if they can learn to hate, they can be taught to love..."
RT @BarackObama: Young people have helped lead all our great movements. How inspiring to see it again in so many smart, fearless students standing up for their right to be safe; marching and organizing to remake the world as it should be. We've been waiting for you. And we've got
RT @BarackObama: "...For love comes more naturally to the human heart than its opposite." - Nelson Mandela
Key Insights & Takeaways
He frequently shares updates about his professional projects, which likely drive engagement and follower interest. Personal milestones and relationship updates are a significant part of his content, showing a balance between career and personal life. His tweets often include links to his work, suggesting a focus on promoting his projects and maintaining visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,148
- + 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 @tomverica reveals an exceptionally influential Twitter presence with 51,148 followers. The account demonstrates a content-creator strategy, averaging 1,616.2 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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