Troy Baker
Actor | Director | Host of HBO’s The Last of Us Podcast
466,379
Followers
1,036
Following
11,725
Tweets
962.0
Avg Engagement
1,158
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TroyBakerVA'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:2011-12-12
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:866.5
- Avg Retweets per Tweet:95.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsTroy Baker's tweets receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared, reinforcing his influence within the entertainment community.
866.5
Avg Likes/Tweet
95.5
Avg Retweets/Tweet
2,813,398
Total Likes
310,158
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
60
Median Likes
1
Median Retweets
555
75th Percentile
65,717
Top Tweet
2.06
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
17.7%
Original
65.7%
Replies
5.1%
Retweets
11.5%
Quotes
0.0%
Threads
0.1%
With Media
43.0%
With Links
10.4%
With #Tags
76.3%
With @Mentions
16.3%
With Emojis
92
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.71
Reply/Original Ratio
2.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
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 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 166 retweets (5% 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 50,000 followersHis audience primarily consists of fans of his acting roles and podcast listeners. They are likely interested in behind-the-scenes content and personal insights from a respected industry figure.
Average
Audience Quality
22.6%
Suspicion Index
25.6%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
22.5%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
57.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.1%
No URL
14.9%
<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.
24,335,706
Total Potential Reach
24
Median Follower Reach
105
75th Percentile Reach
3.4%
>1K followers
0.4%
>10K followers
0.1%
>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).
57.8%
Creators
28,895 accounts
19.7%
Consumers
9,870 accounts
22.5%
Dormant
11,235 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):
726
Verified Followers
0.73% of total
10,926
Protected Accounts
10.93% of total
5 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 | 14,104,476 | Wrestler | Wrestling, Motivation, Self-promotion |
| @pokimanelol | 4,272,889 | Streamer | gaming, streaming, content creation |
| @HBO | 3,308,213 | Entertainment | TV shows, movies, streaming |
| @Calango | 1,402,021 | Influencer | - |
| @PopCrave | 1,379,746 | Entertainment | Music, Entertainment, Celebrities |
| @hbomax | 1,282,437 | - | - |
| @MrAndyNgo | 1,216,489 | Journalist | Conservative, Journalism, LGBTQ+ |
| @HBOMaxBR | 1,166,921 | - | - |
| @donwinslow | 934,466 | Author | books, writing, reading |
| @NOH8Campaign | 801,700 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,643
Followers With Bio
35,357
Followers Without Bio
64.64%
% With Bio
35.36%
% 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 analyzed273,055
Combined Engagement
194,007
Total Likes
79,048
Total Retweets
54,611
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Oh…hey. 😁 #TheLastOfUs https://t.co/IR1YkBMLyd
RT @officialKeef: https://t.co/YUR6lckf8k
His was the best. He will always be the best. He was my Batman. He was my friend. He’ll never fully know how much he inspired me but I’m sure glad I told him every chance I got. Thank you, Kevin. To sleep, to sleep, perchance to dream…
Worked on it. Waited for it. Played it. Finished it. Worth. Every. Second. #TheLastofUsPartll
You think I’d let you do this on your own? See you 2.21.20 #TheLastofus2
Key Insights & Takeaways
His tweets often reflect deep personal connections and admiration for his work He frequently engages with fans and shares behind-the-scenes insights His content is highly shareable and resonates emotionally with his audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 466,379
- + 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 @TroyBakerVA reveals an well-established Twitter presence with 466,379 followers. The account demonstrates a conversation-first approach, averaging 962.0 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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