roi
YouTuber 🇵🇭
433,221
Followers
507
Following
8,284
Tweets
1,028.3
Avg Engagement
383
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GuavaJuice'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:2009-07-01
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3,184
- Avg Likes per Tweet:420.4
- Avg Retweets per Tweet:608.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,184 tweetsGuavaJuice's tweets receive high engagement, with an average of 8,598 likes and 10,027 retweets, indicating a highly interactive fan base.
420.4
Avg Likes/Tweet
608.0
Avg Retweets/Tweet
1,338,428
Total Likes
1,935,770
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
295
Median Likes
23
Median Retweets
623
75th Percentile
254,650
Top Tweet
2.37
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.6%
Original
19.2%
Replies
5.8%
Retweets
2.4%
Quotes
0.0%
Threads
0.1%
With Media
46.6%
With Links
10.5%
With #Tags
38.2%
With @Mentions
9.2%
With Emojis
67
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,184 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 186 retweets (6% 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 3,184 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 young, tech-savvy individuals interested in YouTube content and social media trends.
Average
Audience Quality
31.6%
Suspicion Index
38.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.4%
Empty Bio
47.7%
<10 Tweets
4.3%
Mass Following (>2K)
0.0%
New (<90 days)
69.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
30.9%
<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.
62,888,427
Total Potential Reach
3
Median Follower Reach
20
75th Percentile Reach
2.6%
>1K followers
0.5%
>10K followers
0.2%
>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).
27.8%
Creators
13,894 accounts
24.5%
Consumers
12,238 accounts
47.7%
Dormant
23,868 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):
380
Verified Followers
0.38% of total
9,651
Protected Accounts
9.56% 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 |
|---|---|---|---|
| @MrBeast | 19,608,201 | YouTuber | Philanthropy, YouTube, Charity |
| @JohnCena | 14,104,281 | Wrestler | Wrestling, Motivation, Self-promotion |
| @shanedawson | 8,205,212 | YouTuber | Merchandise, YouTube, Comedy |
| @BenStiller | 5,606,386 | Actor | UNHCR, Goodwill Ambassador, Refugees |
| @laurDIY | 5,602,126 | YouTuber | Crafting, Podcasting, Dog mom |
| @MatPatGT | 5,526,046 | Content Creator | - |
| @JoeyGraceffa | 3,660,644 | YouTuber | YouTube, LGBTQ+, Fashion |
| @miniminter | 3,331,597 | YouTuber | Gaming, YouTube, Sidemen |
| @Banks | 2,813,992 | Gamer | gaming, internet, music |
| @Deji | 2,464,989 | Athlete | Boxing, Comedy, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,504
Followers With Bio
48,494
Followers Without Bio
51.99%
% With Bio
48.01%
% 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 3,184 analyzed932,067
Combined Engagement
0
Total Likes
932,067
Total Retweets
186,413
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @netflix: We’re disappointed in the decision to gut #NetNeutrality protections that ushered in an unprecedented era of innovation, creat…
RT @toystory: Summer 2019. #ToyStory4 https://t.co/jown2per0u
RT @MrAhmednurAli: It's a privilege to learn about racism instead of experiencing it your whole life.
RT @ikoifish: dont unfollow me https://t.co/blkOwqNfhw
RT @benjaminryan: Play it cool Rodney.......play it cool...... https://t.co/xfwQBtDVzJ
Key Insights & Takeaways
High engagement suggests a loyal and active fan base. Collaborations with major creators like MrBeastYT and MarkRober boost visibility and credibility. Promotional tweets with giveaways drive traffic and increase follower interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 433,221
- + Strong original content creation
- + 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 @GuavaJuice reveals an exceptionally influential Twitter presence with 433,221 followers. The account demonstrates a content-creator strategy, averaging 1,028.3 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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