Toby Turner
Bless your face Subscribe for.. exclusive stuff? https://www.youtube.com/tobuscus https://www.youtube.com/tobygames Link below for playlist of my new music Sincerely Word, Toby
845,907
Followers
1,332
Following
24,234
Tweets
96.0
Avg Engagement
2,322
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TobyTurner'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:2007-05-15
- Verification:No
- Location:LA/Vegas/TX
Data Summary
- Tweets Analyzed:3,161
- Avg Likes per Tweet:75.7
- Avg Retweets per Tweet:20.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,161 tweetsTobyTurner's tweets typically receive a high number of likes and retweets, indicating a highly engaged and active audience.
75.7
Avg Likes/Tweet
20.3
Avg Retweets/Tweet
239,213
Total Likes
64,218
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
0
Median Retweets
60
75th Percentile
31,377
Top Tweet
0.11
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
15.7%
Original
81.3%
Replies
0.5%
Retweets
2.5%
Quotes
0.0%
Threads
0.3%
With Media
16.4%
With Links
1.4%
With #Tags
79.2%
With @Mentions
10.3%
With Emojis
98
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.18
Reply/Original Ratio
4.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,161 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 17 retweets (1% 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 3,161 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 appears to be interested in music and social commentary, with a focus on broader societal and ethical discussions.
Average
Audience Quality
21.2%
Suspicion Index
19.1%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.3%
Empty Bio
17.3%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
60.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.4%
No URL
9.9%
<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.
125,946,658
Total Potential Reach
22
Median Follower Reach
81
75th Percentile Reach
3.4%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59.9%
Creators
29,933 accounts
22.8%
Consumers
11,421 accounts
17.3%
Dormant
8,646 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):
945
Verified Followers
0.94% of total
7,803
Protected Accounts
7.73% of total
6 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 |
|---|---|---|---|
| @MrBeast | 19,540,452 | YouTuber | Philanthropy, YouTube, Charity |
| @JohnCena | 14,105,419 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GermanGarmendia | 12,159,720 | Influencer | business, influencer, social media |
| @gadelmaleh | 7,563,561 | Comedian | Comedy, Acting, Stand-up |
| @Quackity | 5,550,480 | Content Creator | Gaming, Comedy, Memes |
| @notch | 3,609,543 | Game Developer | Gaming, Jokes, Dabbing |
| @MoezMasoud | 3,552,976 | Scholar | Cambridge Scholar, Cultural Critic, TV & Film Producer |
| @Vikkstar123 | 3,300,887 | YouTuber | YouTube, Gaming, Business |
| @garyvee | 3,169,537 | Entrepreneur | Family, CEO, Investor |
| @jschlatt | 3,106,867 | Content Creator | Business, Entrepreneurship, Comedy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,318
Followers With Bio
37,681
Followers Without Bio
62.69%
% With Bio
37.31%
% 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 3,161 analyzed73,934
Combined Engagement
20,632
Total Likes
53,302
Total Retweets
14,787
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: https://t.co/O3nGpfeRZ7
@elonmusk @LeighWolf ChatGPTQAI+
RT @OldRowSwig: THREAD: The Project Veritas Coup A whistleblower has contacted me about the news that @JamesOKeefeIII was put on leave an…
RT @patrickbetdavid: This is millions of people love @joerogan. Watch till the end. Great podcast with @BretWeinstein. https://t.co/ac…
@fasc1nate WHAT i’m literally an hour into watching the mask WHAT https://t.co/7qBEPIXvtL
Key Insights & Takeaways
TobyTurner's content often includes links to music and playlists, suggesting a focus on music promotion. His tweets frequently touch on social and ethical issues, indicating a deeper interest in public discourse. He has a verified status of 0.9%, which may suggest a mix of personal and professional branding.
Strengths
- + Established follower base of 845,907
- + 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 @TobyTurner reveals an growing Twitter presence with 845,907 followers. The account demonstrates a conversation-first approach, averaging 96.0 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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