GSC
Largest Cinema Chain in Malaysia. https://linktr.ee/gscinemas Golden Screen Cinemas Sdn. Bhd. 195901000261 (3609-M)
210,466
Followers
352
Following
61,162
Tweets
124.9
Avg Engagement
205
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GSCinemas'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:2009-08-25
- Verification:No
- Location:Malaysia
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:87.2
- Avg Retweets per Tweet:37.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsThe account has a high average engagement rate with likes and retweets, indicating strong audience interaction. The use of hashtags and mentions helps drive further engagement.
87.2
Avg Likes/Tweet
37.8
Avg Retweets/Tweet
282,465
Total Likes
122,366
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
27
75th Percentile
42,297
Top Tweet
0.59
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
34.7%
Original
63.5%
Replies
1.5%
Retweets
0.3%
Quotes
0.0%
Threads
0.3%
With Media
39.1%
With Links
30.6%
With #Tags
63.6%
With @Mentions
36.8%
With Emojis
122
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.83
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.6%
Weekday Posts
24.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 47 retweets (1% 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 3,240 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 includes moviegoers and fans of popular films and celebrities. The content also appeals to a younger demographic due to its use of trending topics and hashtags.
Average
Audience Quality
30.4%
Suspicion Index
40.3%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.6%
Empty Bio
47.8%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
65.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
39.0%
<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.
11,587,000
Total Potential Reach
3
Median Follower Reach
49
75th Percentile Reach
1.9%
>1K followers
0.2%
>10K followers
0.1%
>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).
38.6%
Creators
19,309 accounts
13.6%
Consumers
6,778 accounts
47.8%
Dormant
23,913 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):
67
Verified Followers
0.07% of total
21,901
Protected Accounts
21.9% 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 |
|---|---|---|---|
| @CGV_ID | 4,530,751 | Cinema | Movies, Entertainment, Cultureplex |
| @UMonline | 816,141 | News Outlet | News, Malaysia, Updates |
| @Bosslogic | 516,729 | Artist | Gaming, Art, NFTs |
| @ZeeAvi | 395,541 | Musician | Music, Storytelling, Pancakes |
| @zammit_marc | 387,600 | Filmmaker | Film, Acting, Producing |
| @TI25AQYAH | 336,340 | Influencer | Dragons, Malaysia, Apology |
| @UMusicMalaysia | 319,518 | Music Industry | Music, Malaysia, Global |
| @NetflixMY | 319,010 | Entertainment | Netflix, Malaysia, Pubba |
| @sarimahi | 317,517 | TV Host | Psychology, Fitness, MIASA |
| @DrAnwarFazal | 286,365 | Medical Doctor | Medicine, Medico-Legal, Author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,672
Followers With Bio
35,328
Followers Without Bio
64.67%
% With Bio
35.33%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,240 analyzed131,702
Combined Engagement
97,706
Total Likes
33,996
Total Retweets
26,340
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
TAHNIAH Datuk Seri Anwar!!! 🍿 https://t.co/jg3WnqzRTN
COMING TO GSC SOON ✨ https://t.co/MkJDBOsBDR
THANK YOU ARMYS! 💜✌🏻 #BTSYetToComeinCinemas https://t.co/aYs7xZerat
Boleh walk-in atau GrabFood 😉 https://t.co/xNN2Z7ERlO
#NCTDREAMTHEMOVIE in GSC this 30 November & 3 December only! Ticket Price: RM40 Advance Tickets will go on sale 4 November, 7:00AM. (Malaysia Time) https://t.co/W4I3tpomgm
Key Insights & Takeaways
The account frequently engages with celebrities and fans, which boosts visibility and interaction. Promotional content about upcoming films drives interest and attendance. Collaborations with fan groups and celebrities enhance brand loyalty and community building.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 210,466
- + 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 @GSCinemas reveals an well-established Twitter presence with 210,466 followers. The account demonstrates a conversation-first approach, averaging 124.9 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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