Ranboo
The one and only :) Live on https://www.twitch.tv/ranboolive Business(ONLY) email: [email protected] @misfitsgg @thesorryboys he/they
3,095,678
Followers
610
Following
5,983
Tweets
72,962.5
Avg Engagement
5,535
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ranboosaysstuff'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:2020-01-30
- Verification:No
- Location:Thank you Techno
Data Summary
- Tweets Analyzed:25
- Avg Likes per Tweet:71,735.6
- Avg Retweets per Tweet:1,226.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 25 tweetsRanboosaysstuff's content is highly interactive, with a significant number of likes and retweets, indicating strong audience interest and support. Their personal and heartfelt tweets resonate well with followers.
71,735.6
Avg Likes/Tweet
1,226.9
Avg Retweets/Tweet
1,793,390
Total Likes
30,672
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
58,776
Median Likes
647
Median Retweets
83,137
75th Percentile
184,205
Top Tweet
23.57
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
16.0%
Original
84.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
32.0%
With Links
0.0%
With #Tags
72.0%
With @Mentions
0.0%
With Emojis
79
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.25
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.0%
Weekday Posts
28.0%
Weekend Posts
Most Mentioned
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Content Strategy Analysis
Based on 25 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.
Posting Patterns & Optimal Timing
Based on 25 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 followersThe audience primarily consists of gaming enthusiasts and individuals interested in business and personal development. They are highly engaged, with an average of 257k likes and 23k retweets per tweet.
Below Average
Audience Quality
40.9%
Suspicion Index
55.7%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.5%
Empty Bio
69.6%
<10 Tweets
0.7%
Mass Following (>2K)
0.0%
New (<90 days)
86.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
55.0%
<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.
4,194,966
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.4%
>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).
12.4%
Creators
6,178 accounts
18.1%
Consumers
9,026 accounts
69.6%
Dormant
34,796 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):
48
Verified Followers
0.05% of total
14,965
Protected Accounts
14.82% 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 |
|---|---|---|---|
| @LeBronJames | 1,005,561 | - | - |
| @ZachBoychuk | 830,400 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @daniellednicola | 685,957 | Cosplayer | Cosplay, Twitch, Gaming |
| @yvonnie | 667,843 | Gamer | gaming, streaming, business |
| @Kkatamina | 382,293 | Gamer | Gaming, Streaming, Business |
| @InTheLittleWood | 253,757 | Streamer | Gaming, Streaming, Japan |
| @wearewatcher | 243,648 | Entertainment | History, Mystery, Comedy |
| @deadmeatjames | 210,658 | YouTuber | Horror movies, Kill Count, Podcast |
| @Blodvyx | 207,543 | Gamer | Gamer, Tattoos, Plushies |
| @TOTMCoffee | 175,731 | Coffee Roaster | Coffee, Jacksepticeye, Absurdly Good |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,896
Followers With Bio
57,102
Followers Without Bio
43.46%
% With Bio
56.54%
% 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 25 analyzed751,874
Combined Engagement
736,873
Total Likes
15,001
Total Retweets
150,375
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Yo when is the bit over it’s been a day https://t.co/NoosuZ45OG
You guys keep making fun of the way I hold my sandwich but how the hell are you supposed to hold a footlong? I’m not in the wrong here https://t.co/zV83eBbsDP
Guck https://t.co/zsiJb0FhaA
@Technothepig I heard he is very punchable you could test that
Thank you misleading news article for making me think there was a fist fight that involved the queen of England absolutely clocking some dude https://t.co/W5T6lzCD1G
Key Insights & Takeaways
High follower count indicates a strong online presence and influence. Personal and emotional tweets drive significant engagement. Business-focused communication suggests a professional and strategic approach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,095,678
- + 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 @Ranboosaysstuff reveals an exceptionally influential Twitter presence with 3,095,678 followers. The account demonstrates a conversation-first approach, averaging 72,962.5 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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