Tubbo
I'm live everyday at https://www.twitch.tv/tubbo after 6pm BST
3,672,598
Followers
819
Following
7,556
Tweets
32,137.2
Avg Engagement
5,346
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TubboLive'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:2018-05-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:31,851.3
- Avg Retweets per Tweet:285.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,225 tweetsTubboLive's tweets consistently receive high engagement, with an average of 297,557 likes and 13,106 retweets per tweet. This indicates a highly interactive and loyal fan base.
31,851.3
Avg Likes/Tweet
285.9
Avg Retweets/Tweet
102,720,553
Total Likes
921,985
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19,725
Median Likes
104
Median Retweets
47,738
75th Percentile
494,559
Top Tweet
8.75
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
1.9%
Original
98.0%
Replies
0.1%
Retweets
0.0%
Quotes
0.0%
Threads
0.6%
With Media
9.9%
With Links
0.4%
With #Tags
98.1%
With @Mentions
5.6%
With Emojis
48
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
50.98
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,225 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 2 retweets (0% 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 3,225 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 appears to be diverse, including fans of live content, LGBTQ+ communities, and followers of viral trends. They also engage with younger demographics due to their active and relatable style.
Below Average
Audience Quality
41.8%
Suspicion Index
58.5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.8%
Empty Bio
71.6%
<10 Tweets
0.6%
Mass Following (>2K)
0.0%
New (<90 days)
86.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
57.2%
<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.
8,587,959
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.5%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
11.4%
Creators
5,717 accounts
16.9%
Consumers
8,460 accounts
71.6%
Dormant
35,823 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):
112
Verified Followers
0.11% of total
14,949
Protected Accounts
14.8% of total
1 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 |
|---|---|---|---|
| @samyriveratv | 2,561,381 | Streamer | Twitch, Gaming, Soccer |
| @Robleis01 | 2,451,766 | Influencer | music, fugitivo, entertainment |
| @Roiereal | 1,319,852 | DJ | Music, Travel, Adventure |
| @xCryboy | 1,161,080 | Influencer | Music, Gaming, Fashion |
| @Mechilambre | 1,048,585 | Crypto Influencer | NFTs, Crypto, Marketing |
| @Nuvia_OuO | 870,167 | Twitch Streamer | Twitch, Streamer, Gaming |
| @rodricarreraaa | 849,602 | Musician | Halloween, Music, Fashion |
| @OllieGamerz | 413,459 | Streamer | Gaming, Streaming, Esports |
| @rodezel | 365,478 | Musician | Nueva canción, OTRA VEZ, Contacto |
| @Emikukis | 344,407 | Artist | Art, Live2d, Twitch |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,148
Followers With Bio
55,840
Followers Without Bio
44.71%
% With Bio
55.29%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,225 analyzed1,786,859
Combined Engagement
1,708,335
Total Likes
78,524
Total Retweets
357,372
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Rest in peace techno it was a privilege to know you ❤️
gay ptide 🏳️🌈
200k likes and I’ll go to the US No joke
The boys are back https://t.co/2mdiCO2vuu
THINKING ABOUT VAGAINA A LOT RECENTLY
Key Insights & Takeaways
Their content often blends personal storytelling with social advocacy, which resonates with their audience. They leverage viral moments and personal milestones to boost engagement and visibility. Their consistent live streaming schedule builds trust and keeps followers engaged daily.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,672,598
- + 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 @TubboLive reveals an exceptionally influential Twitter presence with 3,672,598 followers. The account demonstrates a conversation-first approach, averaging 32,137.2 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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