Rosianna Silalahi
News Director of @KompasTV., Kompas Gramedia Group. CP: [email protected] / 081514055239
385,998
Followers
999
Following
15,780
Tweets
151.8
Avg Engagement
480
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Rosianna766Hi'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:2010-02-04
- Verification:No
- Location:Jakarta
Data Summary
- Tweets Analyzed:3,191
- Avg Likes per Tweet:18.9
- Avg Retweets per Tweet:132.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,191 tweetsOn average, her tweets receive around 2,970 likes and 996 retweets, indicating a moderate level of audience interaction.
18.9
Avg Likes/Tweet
132.9
Avg Retweets/Tweet
60,294
Total Likes
424,126
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
19
75th Percentile
216,751
Top Tweet
0.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
44.6%
Original
6.3%
Replies
37.8%
Retweets
11.3%
Quotes
0.0%
Threads
0.8%
With Media
62.6%
With Links
24.1%
With #Tags
74.1%
With @Mentions
6.2%
With Emojis
104
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,191 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 1,205 retweets (38% 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 3,191 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 followersHer audience appears to be interested in news, media, and public figures, with a mix of professional and general followers.
Average
Audience Quality
27.6%
Suspicion Index
31.4%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.4%
Empty Bio
35.7%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
66.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.8%
No URL
23.4%
<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.
33,000,658
Total Potential Reach
12
Median Follower Reach
68
75th Percentile Reach
3.6%
>1K followers
0.5%
>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).
40.0%
Creators
20,007 accounts
24.3%
Consumers
12,137 accounts
35.7%
Dormant
17,856 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):
145
Verified Followers
0.14% of total
10,596
Protected Accounts
10.49% 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 |
|---|---|---|---|
| @Demokrat_TV | 5,928,770 | Media | Politics, News, Democracy |
| @Kemdikbud_RI | 1,916,302 | - | - |
| @indraherlambang | 1,829,167 | TV Host | TV, Host, Writer |
| @Dennysiregar7 | 1,484,419 | - | - |
| @soledadobrien | 1,318,430 | Journalist | working, mom, journalist |
| @antaranews | 1,290,523 | News Agency | Berita, Indonesia, Telegram |
| @tantemeilany | 1,135,309 | - | - |
| @hariankompas | 1,042,344 | News outlet | - |
| @LeBronJames | 998,927 | - | - |
| @budimandjatmiko | 945,916 | Politician | Duniaku, Bumi Manusia, Big Things |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,951
Followers With Bio
49,046
Followers Without Bio
51.44%
% With Bio
48.56%
% 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 3,191 analyzed281,508
Combined Engagement
0
Total Likes
281,508
Total Retweets
56,302
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @J4CKMULL: Who's cutting onions? https://t.co/PlnJ1CzGFr
RT @attn: It's amazing what happens when boys are actually taught to respect women. https://t.co/IbjdtAPyRD
RT @SoundofMusic: We're saddened to hear of Christopher Plummer’s passing. His legacy as our Captain will live on in THE SOUND OF MUSIC for…
RT @KompasTV: BREAKING NEWS - Ani Yudhoyono Tutup Usia https://t.co/pDgUOXkwpu
RT @ajplus: Pink tells her daughter about the importance of loving who she is. 🙌 https://t.co/WEqkVdpoQS
Key Insights & Takeaways
Her top tweets often include personal and lighthearted content, which may help in building a more relatable image. She frequently shares content related to public figures and events, suggesting a focus on media and current affairs. Her account is likely used for both professional communication and personal engagement with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 385,998
- + 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 @Rosianna766Hi reveals an well-established Twitter presence with 385,998 followers. The account demonstrates a content-creator strategy, averaging 151.8 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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