Yumi
working
344,014
Followers
1,002
Following
13,529
Tweets
1,374.0
Avg Engagement
180
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YumiMain'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:2014-09-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:1,347.7
- Avg Retweets per Tweet:26.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsYumiMain's tweets consistently receive high engagement, indicating a strong connection with their followers. The use of links and emojis enhances interaction and visibility.
1,347.7
Avg Likes/Tweet
26.2
Avg Retweets/Tweet
4,373,324
Total Likes
85,152
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
656
Median Likes
3
Median Retweets
1,633
75th Percentile
191,091
Top Tweet
3.99
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
37.0%
Original
62.5%
Replies
0.2%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
21.4%
With Links
0.7%
With #Tags
61.8%
With @Mentions
17.4%
With Emojis
65
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.69
Reply/Original Ratio
1.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 7 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 3,245 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 appears to be young and interested in entertainment, memes, and relatable content. They are likely active on social media and enjoy light-hearted, viral moments.
Average
Audience Quality
29.1%
Suspicion Index
34.7%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.1%
Empty Bio
42.5%
<10 Tweets
1.4%
Mass Following (>2K)
0.0%
New (<90 days)
70.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
29.3%
<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.
6,972,914
Total Potential Reach
5
Median Follower Reach
20
75th Percentile Reach
0.8%
>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).
32.0%
Creators
15,994 accounts
25.5%
Consumers
12,766 accounts
42.5%
Dormant
21,240 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):
173
Verified Followers
0.17% of total
10,793
Protected Accounts
10.79% of total
3 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 |
|---|---|---|---|
| @ZachBoychuk | 829,391 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @iownjd | 778,147 | Lawyer | learn, inspire, engage |
| @SHITFROMFEAR | 472,340 | Horror Blogger | Horror, Fear, Submissions |
| @zammit_marc | 387,772 | Filmmaker | Film, Acting, Producing |
| @Its_Jawsh | 319,866 | President | Politics, Business, Retired |
| @georainbolt | 218,342 | Cartographer | Google Maps, Player, Geocaching |
| @prezoh | 177,931 | Video Editor | Video editing, Streaming, Content creation |
| @sleepy | 161,091 | Comedian | sleepy, tired, idiot |
| @kinganiii | 137,925 | Gamer | gaming, state of mind, always gaming |
| @joanagomez1990 | 113,589 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,019
Followers With Bio
39,981
Followers Without Bio
60.02%
% With Bio
39.98%
% 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 3,245 analyzed288,856
Combined Engagement
276,735
Total Likes
12,121
Total Retweets
57,771
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Nah wtf speed doin https://t.co/EM78CvevVc
I woke up and this was on my leg what does this mean ??? https://t.co/k70BIhbFy5
All of Dream’s friends being paid to pretend like they’ve never seen his face before 😱😱😱🤫😱😱😱😱🥵🤑
they really acted like white guy npc #7 was the hottest mf on the planet im dead
DUDE LOOKS LIKE SHANE DAWSON BRUH
Key Insights & Takeaways
YumiMain's content often includes personal anecdotes and humor, which drive engagement. Their tweets frequently reference pop culture and internet trends, making them relatable and shareable. They use links and emojis effectively to boost visibility and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 344,014
- + 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 @YumiMain reveals an exceptionally influential Twitter presence with 344,014 followers. The account demonstrates a conversation-first approach, averaging 1,374.0 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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