ruangguru
Siap taklukkan ((hati kamu)) eh PTN impian bareng Etmin🤍
167,982
Followers
74
Following
30,093
Tweets
105.2
Avg Engagement
193
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ruangguru'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:2012-01-07
- Verification:No
- Location:Jakarta Capital Region
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:78.6
- Avg Retweets per Tweet:26.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,229 tweetsThe account sees a high number of likes and retweets on average, indicating strong audience interaction with its content.
78.6
Avg Likes/Tweet
26.6
Avg Retweets/Tweet
253,674
Total Likes
86,000
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
17
75th Percentile
27,435
Top Tweet
0.63
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
24.1%
Original
64.4%
Replies
8.9%
Retweets
2.6%
Quotes
0.0%
Threads
0.0%
With Media
44.0%
With Links
17.7%
With #Tags
48.6%
With @Mentions
63.4%
With Emojis
167
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.67
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.7%
Weekday Posts
13.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 287 retweets (9% 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 3,229 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 primary audience is students preparing for university entrance exams, particularly those aiming for prestigious national universities (PTN).
Good
Audience Quality
17.7%
Suspicion Index
20.3%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.7%
Empty Bio
20.3%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
44.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
13.9%
<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.
12,274,678
Total Potential Reach
13
Median Follower Reach
145
75th Percentile Reach
5.5%
>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).
63.0%
Creators
31,520 accounts
16.7%
Consumers
8,340 accounts
20.3%
Dormant
10,140 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):
19
Verified Followers
0.02% of total
21,896
Protected Accounts
21.68% of total
3 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 |
|---|---|---|---|
| @GNFI | 1,676,336 | News Outlet | Indonesia, Good News, Social Media |
| @halokampus | 888,162 | Education influencer | kuliah, beasiswa, pengembangan diri |
| @Santi_nya | 859,790 | Student | Football, Music, Travel |
| @riyansupyans | 685,395 | - | - |
| @txtdaripelajar | 599,733 | - | - |
| @sbmptnfess | 586,431 | Education | SNMPTN, SBMPTN, UTBK |
| @schfess | 536,283 | Student Community | SchoolFess, Indonesian Students, Community |
| @ArditErwandha | 524,089 | Influencer | Ya Biasa Lah, Ichaaa, 0812 101 1121 |
| @tirta_cipeng | 497,763 | Doctor | shoes, fashion, travel |
| @Dylan_Bostic | 349,197 | Wrestler | Pro Wrestling, Boxing, Acting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
74,753
Followers With Bio
26,245
Followers Without Bio
74.01%
% With Bio
25.99%
% 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 3,229 analyzed87,916
Combined Engagement
69,681
Total Likes
18,235
Total Retweets
17,583
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
my world with darari song https://t.co/bjRvgBFYCF
Juara 1 lomba memenangkan hati Hamada Asahi
i want i want i want i want i want i want LOLOS i want SNBP/SNBT 2023 i want i want i want i want i want
Mau hadiah apa tahun ini? 🎁 🎁 🎁 🎁 LULUS 🎁 SNBP/SNBT 🎁 2023 🎁 🎁 🎁 🎁
248 tahun di Bumi setara dengan 1 tahun di Pluto Haii, selamat ulang tahun HARUTO💙🤍💎 #VersatileGeniusHarutoDay #ハルトちゃーん18バースデイ #스껄_하루토왕자님생일이다 @treasuremembers
Key Insights & Takeaways
The account leverages music and viral content to boost engagement It highlights academic success stories to inspire followers It uses emojis and hashtags to make content more relatable and shareable
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 167,982
- + 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 @ruangguru reveals an well-established Twitter presence with 167,982 followers. The account demonstrates a conversation-first approach, averaging 105.2 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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