🔪susu
╰☆☆ 🔪knife collector | 🐸frog respecter | ▶️youtuber | @elgato partner ☆☆ ╮ [email protected]
782,714
Followers
808
Following
1,167
Tweets
4,058.1
Avg Engagement
1,098
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Susu_jpg'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:2019-10-11
- Verification:No
- Location:in your walls
Data Summary
- Tweets Analyzed:929
- Avg Likes per Tweet:3,616.3
- Avg Retweets per Tweet:441.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 929 tweetsSusu_jpg's tweets consistently receive high engagement, indicating a loyal and active follower base. Their content is well-received, with a mix of humor and relatability.
3,616.3
Avg Likes/Tweet
441.8
Avg Retweets/Tweet
3,359,522
Total Likes
410,433
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
174
Median Likes
2
Median Retweets
799
75th Percentile
280,082
Top Tweet
5.18
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
10.4%
Original
77.3%
Replies
12.1%
Retweets
0.2%
Quotes
0.0%
Threads
1.0%
With Media
21.1%
With Links
2.5%
With #Tags
88.7%
With @Mentions
27.7%
With Emojis
69
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.4
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 929 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 112 retweets (12% 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 929 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 likely includes fans of anime, memes, and pop culture, as well as individuals interested in niche hobbies like knife collecting and frog appreciation.
Average
Audience Quality
34.1%
Suspicion Index
46.7%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.1%
Empty Bio
45.4%
<10 Tweets
10.3%
Mass Following (>2K)
0.0%
New (<90 days)
68.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
34.4%
<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.
15,319,984
Total Potential Reach
21
Median Follower Reach
57
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
32.9%
Creators
16,430 accounts
21.8%
Consumers
10,887 accounts
45.4%
Dormant
22,683 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):
278
Verified Followers
0.28% of total
16,549
Protected Accounts
16.39% of total
4 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 |
|---|---|---|---|
| @soogz1 | 1,552,501 | Twitch Streamer | Twitch, Streamer, Gaming |
| @jenfoxxuwu | 1,422,252 | Influencer | - |
| @lamegff | 1,107,770 | Influencer | Gaming, Fashion, Luxury |
| @SamandColby | 1,016,443 | Content creators | Exploration, Adventure, Friendship |
| @LeBronJames | 1,008,440 | - | - |
| @suoiresnu | 808,193 | Artist | NSFW art, Comics, Commissions |
| @dystorra | 767,536 | Cosplayer | Virtual gf, cosplayer, Japan |
| @iamjennashea | 644,063 | Adult Entertainer | Fans, Money, Shooting |
| @savannah_solo | 553,658 | Content Creator | Star Wars, Podcasting, Onlyfans |
| @knowyourmeme | 548,175 | Internet researcher | Internet culture, memes, understanding |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,786
Followers With Bio
59,211
Followers Without Bio
41.37%
% With Bio
58.63%
% 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 929 analyzed828,661
Combined Engagement
519,967
Total Likes
308,694
Total Retweets
165,732
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @DannyDeVito: Supreme Court my ass
Cats are serotonin dispensers. https://t.co/F0FSi6PK1j
https://t.co/RmXiRSq2qS
Anime legs https://t.co/QEU9HP0L30
Just turned 31 today https://t.co/QdQqDoJACk
Key Insights & Takeaways
Their content often blends humor with niche interests, which resonates with their audience. They frequently use links to external content, suggesting a focus on multimedia and engagement. Their verified status is low, but their follower count and engagement suggest a strong organic presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 782,714
- + 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 @Susu_jpg reveals an exceptionally influential Twitter presence with 782,714 followers. The account demonstrates a conversation-first approach, averaging 4,058.1 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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