Do██ Sa███
DMFS. i put the gas in pee wee gaskins 📧 [email protected] or WA 081908888182 (Rika) for business inquiries.
408,525
Followers
582
Following
107,571
Tweets
265.5
Avg Engagement
543
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @katadochi'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:2009-05-02
- Verification:No
- Location:JKT
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:28.3
- Avg Retweets per Tweet:237.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,233 tweetsKatadochi's tweets consistently receive high engagement, with an average of 3,571 likes and 797 retweets per tweet. This suggests a highly interactive and loyal follower base.
28.3
Avg Likes/Tweet
237.1
Avg Retweets/Tweet
91,581
Total Likes
766,674
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
18
75th Percentile
106,262
Top Tweet
0.65
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
28.3%
Original
57.7%
Replies
10.9%
Retweets
3.1%
Quotes
0.0%
Threads
0.1%
With Media
21.3%
With Links
1.5%
With #Tags
68.0%
With @Mentions
3.4%
With Emojis
57
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.04
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 352 retweets (11% 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 3,233 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 adults and teenagers who appreciate humor, relatable content, and personal storytelling. They are likely interested in lifestyle, relationships, and self-improvement topics.
Average
Audience Quality
28.8%
Suspicion Index
42.4%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.3%
Empty Bio
45.6%
<10 Tweets
1.9%
Mass Following (>2K)
0.0%
New (<90 days)
57.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
36.4%
<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.
47,297,037
Total Potential Reach
6
Median Follower Reach
78
75th Percentile Reach
2.5%
>1K followers
0.3%
>10K followers
0.1%
>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).
41.5%
Creators
20,755 accounts
12.9%
Consumers
6,445 accounts
45.6%
Dormant
22,800 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):
45
Verified Followers
0.04% of total
9,466
Protected Accounts
9.47% of total
6 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 |
|---|---|---|---|
| @JohnCena | 14,104,382 | Wrestler | Wrestling, Motivation, Self-promotion |
| @andihiyat | 4,325,054 | Comedian | Comedy, Travel, Email Marketing |
| @iqbaale | 2,957,203 | Singer | - |
| @uusbiasaaja | 2,322,709 | Comedian | Introvert, Uus, Biasaaja |
| @VinoGBastian__ | 1,922,276 | Actor | Movies, Acting, Entertainment |
| @indraherlambang | 1,829,352 | TV Host | TV, Host, Writer |
| @sudjiwotedjo | 1,771,277 | Influencer | Politics, Social Commentary, Anti-Bullying |
| @cursedkidd | 1,582,054 | Influencer | Wild West, Outlaw, Cowboy |
| @HeyBudie | 1,424,802 | Author | Books, Heartbreak, Email |
| @jefrinichol | 1,276,591 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,189
Followers With Bio
58,811
Followers Without Bio
41.19%
% With Bio
58.81%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,233 analyzed334,999
Combined Engagement
0
Total Likes
334,999
Total Retweets
67,000
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @TansuYegen: When 2 groups of penguins meet on the road, they stop for a short exchange of information. When one of them moves in with…
RT @wingstop: fuck
RT @RezqiWahyu_05: Assalamualaikum Sebelumnya saya turut berduka cita sedalam"nya terhadap korban insiden yg terjadi di stadion Kanjuruhan…
RT @jimrosecircus1: I believe the main difference is that one will see you later and the other will see you in awhile. I could be wrong, I'…
RT @_TheFigen: His wife came home early! 🤣🤣 https://t.co/QhIPMhAKeT
Key Insights & Takeaways
Their content often blends humor with personal reflection, creating a relatable and engaging tone. They frequently reference pop culture and personal experiences, which helps in connecting with their audience. Their use of multimedia, such as links to WhatsApp, indicates a focus on direct engagement and business opportunities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 408,525
- + 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 @katadochi reveals an well-established Twitter presence with 408,525 followers. The account demonstrates a conversation-first approach, averaging 265.5 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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