SAHABAT ICW
Indonesia Corruption Watch (ICW). We're fighting corruption with public support and civil society. Our Merchandise, IG @uncorrupted.store
67,510
Followers
483
Following
20,193
Tweets
69.8
Avg Engagement
140
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sahabatICW'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:2010-02-16
- Verification:No
- Location:Jakarta, Indonesia
Data Summary
- Tweets Analyzed:3,172
- Avg Likes per Tweet:4.7
- Avg Retweets per Tweet:65.1
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,172 tweetsThe account maintains a consistent level of engagement with an average of 254 likes and 269 retweets per tweet. The content often includes calls to action, which drive interaction and participation.
4.7
Avg Likes/Tweet
65.1
Avg Retweets/Tweet
14,788
Total Likes
206,586
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
15
75th Percentile
49,818
Top Tweet
1.03
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
22.4%
Original
29.7%
Replies
42.8%
Retweets
5.2%
Quotes
0.0%
Threads
0.0%
With Media
63.3%
With Links
39.0%
With #Tags
58.1%
With @Mentions
22.5%
With Emojis
183
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.33
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.4%
Weekday Posts
21.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,172 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 1,357 retweets (43% 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 3,172 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 followersThe primary audience includes Indonesian citizens concerned about corruption and civil society groups. The account also engages with journalists, activists, and legal professionals.
Average
Audience Quality
24.3%
Suspicion Index
26.0%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.4%
Empty Bio
28.9%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
18.5%
<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.
9,797,292
Total Potential Reach
16
Median Follower Reach
90
75th Percentile Reach
3.4%
>1K followers
0.4%
>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).
48.3%
Creators
5,312 accounts
22.8%
Consumers
2,503 accounts
28.9%
Dormant
3,184 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):
10
Verified Followers
0.09% of total
1,942
Protected Accounts
17.66% of total
5 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 |
|---|---|---|---|
| @Demokrat_TV | 5,881,306 | Media | Politics, News, Democracy |
| @tirta_cipeng | 501,109 | Doctor | shoes, fashion, travel |
| @mrshananto | 263,293 | Financial Trainer | Financial, Comedy, Acting |
| @Dandhy_Laksono | 256,128 | Journalist | Politics, Journalism, Activism |
| @nazaqistsha | 213,595 | Activist | Novel, Dunia, Akhirat |
| @PutraWadapi | 108,577 | Activist | Christ Wamea, Indonesia, Love for Country |
| @beritastenggara | 106,816 | - | - |
| @ValensDakiSoo | 71,697 | Entrepreneur | Law, Consulting, Indonesia |
| @AksiKamisan | 61,488 | Activist | HAM, kemanusiaan, #MerawatIngatan |
| @knpiharis | 55,506 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,325
Followers With Bio
3,674
Followers Without Bio
66.6%
% With Bio
33.4%
% 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 $15Viral Tweets
Top 5 by likes+RTs from 3,172 analyzed109,827
Combined Engagement
0
Total Likes
109,827
Total Retweets
21,965
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @jokoanwar: Bang Fahri usul bubarin KPK karena nggak ngaruh korupsi tetep banyak. Nggak usul bubarin DPR karena nggak ngaruh aspirasi rakyat nggak didengar juga?
RT @PUKAT_UGM: RUU Cipta Kerja dan Segala Permasalahannya (Sebuah Utas) RUU Cipta Kerja bermasalah baik secara proses, metode pembentukan, dan substansinya
RT @antikorupsi: Saat Menkumham ditanya soal naskah akademik revisi UU KPK.. Transkip: #*%%\+{>~£¥•?’ci@“&$;/#*^^*#%}.. #ReformasiDikorupsi https://t.co/ghYWdirS91
RT @KontraS: Agar menjadi perhatian bagi semua https://t.co/FKPQ7jimwS
RT @BungHattaAward: UU KPK ✅ UU Minerba ✅ UU MK✅ UU Cipta Lapangan Kerja ✅ Sunggu kinerja DPR yang luar biasa. Untuk semua hati yang tersakiti, mudah-mudahan dalam keadaan sehat walafiat. Ada satu tahap perlawanan pamungkas kita, judicial review di MK. Semoga mata keadilan para
Key Insights & Takeaways
The account frequently highlights legal cases involving anti-corruption figures, such as Novel Baswedan. It actively encourages public participation in petitions and campaigns against corruption. The use of hashtags and direct mentions of institutions like KPK_RI helps in amplifying the message and reaching a wider audience.
Strengths
- + Established follower base of 67,510
- + 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 @sahabatICW reveals an growing Twitter presence with 67,510 followers. The account demonstrates a conversation-first approach, averaging 69.8 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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