prazteguh
IG: praz_teguh || Cp: 082283026624 (Niki) || email: [email protected] ||
130,465
Followers
334
Following
12,669
Tweets
74.9
Avg Engagement
60
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Praz_Teguh'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:2011-12-05
- Verification:No
- Location:Jakarta Capital Region
Data Summary
- Tweets Analyzed:3,059
- Avg Likes per Tweet:27.0
- Avg Retweets per Tweet:47.9
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,059 tweetsHis tweets receive an average of 6,328 likes and 2,222 retweets, indicating strong audience interaction. The high engagement suggests his content resonates with his followers.
27.0
Avg Likes/Tweet
47.9
Avg Retweets/Tweet
82,658
Total Likes
146,422
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
6
75th Percentile
41,544
Top Tweet
0.57
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
22.3%
Original
23.8%
Replies
41.3%
Retweets
12.6%
Quotes
0.0%
Threads
0.1%
With Media
49.1%
With Links
26.1%
With #Tags
73.1%
With @Mentions
8.6%
With Emojis
88
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.07
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.9%
Weekday Posts
32.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,059 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 1,263 retweets (41% 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 3,059 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 10,999 followersHis audience appears to be interested in legal matters, social issues, and personal development. The engagement suggests a community that values informative and thought-provoking content.
Average
Audience Quality
30.0%
Suspicion Index
42.6%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.4%
Empty Bio
45.0%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
65.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
34.8%
<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.
5,834,008
Total Potential Reach
3
Median Follower Reach
42
75th Percentile Reach
1.5%
>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).
37.6%
Creators
4,131 accounts
17.4%
Consumers
1,916 accounts
45.0%
Dormant
4,952 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):
8
Verified Followers
0.07% of total
1,811
Protected Accounts
16.47% 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 |
|---|---|---|---|
| @andihiyat | 4,349,082 | Comedian | Comedy, Travel, Email Marketing |
| @mediocrickey | 100,635 | Influencer | rebahan, review, dukung |
| @PasutriPadang17 | 75,809 | Travel Blogger | Travel, Food, Relationship |
| @fannysoegi | 59,952 | - | - |
| @wpmanggi | 51,221 | - | - |
| @Jominangg | 48,244 | Administrator | Zoom Jilatang Institute, Narasi MPJ, Buya Chief Army |
| @Tantebogigolo | 30,983 | - | - |
| @buyaalghifari | 30,730 | - | - |
| @fukyaw_ | 30,661 | - | - |
| @Minang_cyber | 26,686 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,459
Followers With Bio
5,540
Followers Without Bio
49.63%
% With Bio
50.37%
% 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 3,059 analyzed110,615
Combined Engagement
28,370
Total Likes
82,245
Total Retweets
22,123
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
HUKUMAN UNTUK YANG LANGGAR PSBB https://t.co/5MCPXaDKro
RT @TeamKhabib: Good always defeats evil. Very happy for @DustinPoirier I hope you will get the belt end of the year
RT @basuki_btp: Terima kasih kepada seluruh warga Jakarta. Doakan kami agar tidak pernah lelah mengabdi dan melayani Indonesia. https://t.co/WHtB8SibRl
RT @9GAG: Mayweather copying Ariana’s style #MayPac #MayweatherPacquiao http://t.co/mwOidtc0DL
RT @seterahdeh: gara2 manusia pada kayak setan, kasian setan malah jadi gabut :( https://t.co/R6lUnGvlnH
Key Insights & Takeaways
His top tweets often involve legal topics and public policy, indicating a focus on social responsibility. He shares personal skills, such as conflict resolution, which adds a relatable aspect to his content. His verified status and active presence suggest he is a public figure with a dedicated following.
Strengths
- + Established follower base of 130,465
- + 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 @Praz_Teguh reveals an growing Twitter presence with 130,465 followers. The account demonstrates a conversation-first approach, averaging 74.9 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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