RCTI Sports
94,705
Followers
361
Following
10,843
Tweets
79.6
Avg Engagement
119
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RCTISports_'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:2013-08-19
- Verification:No
- Location:Kebon Jeruk, Indonesia
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:47.3
- Avg Retweets per Tweet:32.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,196 tweetsThe account maintains a consistent level of engagement with its followers, indicating a loyal and active audience. The use of hashtags and direct interactions suggests a strategy to foster community and visibility.
47.3
Avg Likes/Tweet
32.3
Avg Retweets/Tweet
151,148
Total Likes
103,095
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
7
Median Retweets
77
75th Percentile
7,107
Top Tweet
0.84
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
75.5%
Original
9.4%
Replies
14.3%
Retweets
0.8%
Quotes
0.0%
Threads
0.3%
With Media
84.6%
With Links
94.3%
With #Tags
31.1%
With @Mentions
4.3%
With Emojis
173
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.4%
Weekday Posts
42.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 456 retweets (14% 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 3,196 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 followersThe audience appears to be sports enthusiasts, especially those interested in football and international tournaments. The account likely targets fans looking for updates, event reminders, and community engagement.
Below Average
Audience Quality
36.5%
Suspicion Index
43.2%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.8%
Empty Bio
58.5%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
84.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
43.5%
<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.
736,355
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.8%
>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).
21.1%
Creators
2,108 accounts
20.5%
Consumers
2,046 accounts
58.5%
Dormant
5,846 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):
2
Verified Followers
0.02% of total
1,237
Protected Accounts
12.37% 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 |
|---|---|---|---|
| @penkopassus | 134,037 | Special Forces | BERANI, BENAR, BERHASIL |
| @rctitv | 102,927 | TV Network | Entertainment, News, Television |
| @jakblay | 13,212 | - | - |
| @rifqilmoeslim | 13,081 | - | - |
| @Marimar_Aauw | 12,110 | - | - |
| @cagubnyinyir2 | 9,950 | - | - |
| @Sawala_id_ | 8,821 | - | - |
| @GozaliAljadidi | 7,716 | - | - |
| @BunNaKloppass | 6,898 | - | - |
| @ArmyNgalam | 6,613 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,721
Followers With Bio
4,279
Followers Without Bio
57.21%
% With Bio
42.79%
% 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 3,196 analyzed16,521
Combined Engagement
8,674
Total Likes
7,847
Total Retweets
3,304
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Yang kemarin nanyain #SerieARCTIRujuk mana ya? #SerieAdiRCTI #WelcomeBackSerieA https://t.co/rsHCphP7Q6
AHAAYYY TSUBASA DI RCTI! Mulai Minggu, 3 Februari, jam 10.30 pagi, ya. #Tsubasa #TsubasaRCTI https://t.co/PyW4OwGoIq
Jumat berkah! Menjawab beberapa pertanyaan via DM yang masuk. Benvenuto, Serie A! #SerieA #seriearcti https://t.co/PBTshB5nFm
All set! Mark your calendar! 📆 #euro2020 #europhoria #roundof16 https://t.co/lT9OXAnRr9
Ehem ehem.... . Salam Olahraga ⚽️ . #seriea https://t.co/oPg834HgBb
Key Insights & Takeaways
The account frequently uses hashtags related to sports events and tournaments, which helps in increasing visibility and engagement. It interacts with followers through direct messages and responds to queries, building a sense of community and trust. The use of links in tweets suggests a focus on driving traffic to related content or event pages.
Strengths
- + Established follower base of 94,705
- + 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 @RCTISports_ reveals an growing Twitter presence with 94,705 followers. The account demonstrates a content-creator strategy, averaging 79.6 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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