Tommy Vietor
Former Obama staffer turned podcast blah blah guy @ Crooked Media
568,877
Followers
2,771
Following
12,599
Tweets
1,409.9
Avg Engagement
6,025
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TVietor08'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:2010-06-15
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,213
- Avg Likes per Tweet:364.0
- Avg Retweets per Tweet:1,045.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,213 tweetsTVietor08's tweets typically receive high engagement, with an average of 21,000 likes and 3,000 retweets per post.
364.0
Avg Likes/Tweet
1,045.9
Avg Retweets/Tweet
1,169,545
Total Likes
3,360,436
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
30
Median Retweets
721
75th Percentile
203,105
Top Tweet
2.48
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
21.4%
Original
26.5%
Replies
39.7%
Retweets
12.4%
Quotes
0.0%
Threads
0.5%
With Media
38.1%
With Links
3.8%
With #Tags
73.6%
With @Mentions
3.2%
With Emojis
126
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.23
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,213 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 1,277 retweets (40% 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 3,213 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 followersTheir audience is primarily politically engaged individuals interested in media bias and political analysis.
Average
Audience Quality
25.8%
Suspicion Index
30.9%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.0%
Empty Bio
25.7%
<10 Tweets
16.9%
Mass Following (>2K)
0.0%
New (<90 days)
52.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
18.8%
<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.
178,262,004
Total Potential Reach
43
Median Follower Reach
223
75th Percentile Reach
9.4%
>1K followers
1.5%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.7%
Creators
28,329 accounts
17.6%
Consumers
8,825 accounts
25.7%
Dormant
12,846 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):
1,696
Verified Followers
1.68% of total
14,075
Protected Accounts
13.94% 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 |
|---|---|---|---|
| @BillGates | 62,459,928 | Philanthropist | Philanthropy, Learning, Technology |
| @JohnCena | 14,105,084 | Wrestler | Wrestling, Motivation, Self-promotion |
| @chrissyteigen | 12,873,967 | - | - |
| @mindykaling | 11,363,748 | Actress | comedy, writing, acting |
| @BenStiller | 5,607,265 | Actor | UNHCR, Goodwill Ambassador, Refugees |
| @benlandis | 2,850,673 | - | - |
| @PressSec | 2,344,567 | - | - |
| @ggreenwald | 2,010,876 | Journalist | Journalism, Activism, Veganism |
| @indraherlambang | 1,829,522 | TV Host | TV, Host, Writer |
| @SinghLions | 1,334,986 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,704
Followers With Bio
42,293
Followers Without Bio
58.12%
% With Bio
41.88%
% 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.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,213 analyzed560,499
Combined Engagement
84,331
Total Likes
476,168
Total Retweets
112,100
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @WhiteHouse: Congresswoman Marjorie Taylor Greene had $183,504 in PPP loans forgiven. https://t.co/4FoCymt8TB
RT @TomBrady: Truly grateful on this day. Thank you 🙏🏻❤️ https://t.co/j2s2sezvSS
This fall, from the party that brought you LOCK HER UP, comes How Dare the FBI Investigate Politicians...
RT @overtime: Only in NYC 🤣 (via beautifulsoulsinnyc/IG) https://t.co/Go6Ft4mWiz
RT @WhiteHouse: Congressman Matt Gaetz had $482,321 in PPP loans forgiven. https://t.co/XPgC0pETkp
Key Insights & Takeaways
TVietor08 often highlights political hypocrisy and media bias through targeted tweets. They use links to support their arguments and provide additional context. Their content is designed to spark debate and encourage audience interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 568,877
- + 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 @TVietor08 reveals an exceptionally influential Twitter presence with 568,877 followers. The account demonstrates a conversation-first approach, averaging 1,409.9 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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