Triawan Munaf
Kepala Bekraf 2015-2019
99,631
Followers
1,250
Following
34,825
Tweets
755.1
Avg Engagement
124
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Triawan'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: Mid-Tier (10K+)
- Account Age:2009-04-07
- Verification:No
- Location:Indonesia
Data Summary
- Tweets Analyzed:3,118
- Avg Likes per Tweet:4.5
- Avg Retweets per Tweet:750.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,118 tweetsTriawan's tweets receive moderate to high engagement, with an average of 391 likes and 544 retweets per tweet. His content is well-received and shared by his audience.
4.5
Avg Likes/Tweet
750.6
Avg Retweets/Tweet
13,979
Total Likes
2,340,378
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
12
75th Percentile
1,416,159
Top Tweet
7.58
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
17.2%
Original
5.9%
Replies
61.0%
Retweets
15.9%
Quotes
0.0%
Threads
0.1%
With Media
80.3%
With Links
21.7%
With #Tags
75.3%
With @Mentions
8.9%
With Emojis
131
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,118 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 1,901 retweets (61% 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 3,118 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 10,000 followersHis followers likely include Indonesians interested in politics, culture, and development projects. The audience may also consist of professionals and public servants.
Average
Audience Quality
24.7%
Suspicion Index
24.3%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.5%
Empty Bio
30.5%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.4%
No URL
20.1%
<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.
12,765,594
Total Potential Reach
23
Median Follower Reach
167
75th Percentile Reach
5.4%
>1K followers
0.7%
>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).
47.5%
Creators
4,753 accounts
22.0%
Consumers
2,201 accounts
30.5%
Dormant
3,046 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):
27
Verified Followers
0.27% of total
1,603
Protected Accounts
16.03% 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 |
|---|---|---|---|
| @KompasTV | 5,090,597 | News broadcaster | News, Independent, Trustworthy |
| @Dennysiregar7 | 1,504,690 | - | - |
| @tonykojansow | 788,348 | - | - |
| @tirta_cipeng | 499,872 | Doctor | shoes, fashion, travel |
| @jansen_jsp | 279,945 | Lawyer | Politics, Law, Loyalty |
| @Kemenparekraf | 262,093 | - | - |
| @penkopassus | 134,049 | Special Forces | BERANI, BENAR, BERHASIL |
| @muannas_alaidid | 132,839 | Lawyer | Law, Cybersecurity, Executive Committee |
| @ainunnajib | 126,798 | Data Scientist | Data Science, Analytics, AI/ML |
| @dirasugandi | 124,342 | Singer | Work, Life, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,148
Followers With Bio
2,852
Followers Without Bio
71.48%
% With Bio
28.52%
% 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 3,118 analyzed2,193,943
Combined Engagement
0
Total Likes
2,193,943
Total Retweets
438,789
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/InZ58zkoAm
RT @BarackObama: "People must learn to hate, and if they can learn to hate, they can be taught to love..."
RT @BarackObama: "...For love comes more naturally to the human heart than its opposite." - Nelson Mandela
RT @Wimbledon: 2003 🏆 2004 🏆 2005 🏆 2006 🏆 2007 🏆 2009 🏆 2012 🏆 2017 🏆 The moment @rogerfederer won #Wimbledon title No.8 https://t.co/rMzNNA6M0K
RT @ahmusawi: "People came to buy clothes to celebrate Eid. Now, they're buying coffins." #BaghdadAttack #تفجير_الكرادة https://t.co/eETxMK1KJU
Key Insights & Takeaways
He often shares personal stories of perseverance and success, which resonate with his audience. He highlights major national projects and achievements, positioning himself as a leader in development. He collaborates with media and public figures to promote initiatives and policies.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 99,631
- + 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 @Triawan reveals an well-established Twitter presence with 99,631 followers. The account demonstrates a content-creator strategy, averaging 755.1 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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