SF Cinema
ชอบดูหนังในโรง ชอบโมเมนต์ในโรงหนัง ชอบกิน 🍿❤
1,473,546
Followers
78
Following
110,178
Tweets
161.5
Avg Engagement
658
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WeLoveSF'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: Mega Influencer (1M+)
- Account Age:2009-09-03
- Verification:No
- Location:Thailand
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:79.6
- Avg Retweets per Tweet:81.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsWeLoveSF has high average likes and retweets, indicating strong audience interaction. The account frequently uses hashtags and links to drive traffic and promote events.
79.6
Avg Likes/Tweet
81.9
Avg Retweets/Tweet
258,442
Total Likes
266,135
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
3
Median Retweets
26
75th Percentile
7,324
Top Tweet
0.11
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
72.3%
Original
26.7%
Replies
0.8%
Retweets
0.2%
Quotes
0.0%
Threads
0.3%
With Media
90.4%
With Links
96.5%
With #Tags
5.6%
With @Mentions
96.9%
With Emojis
266
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.0%
Weekday Posts
21.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 25 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 3,248 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 audience consists mainly of Thai fans of K-pop and cinema enthusiasts. They are likely young adults who enjoy social media engagement and event promotions.
Average
Audience Quality
34.3%
Suspicion Index
48.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
50.2%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
76.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
41.6%
<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.
6,134,160
Total Potential Reach
2
Median Follower Reach
16
75th Percentile Reach
1.4%
>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).
37.2%
Creators
18,598 accounts
12.6%
Consumers
6,297 accounts
50.2%
Dormant
25,105 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):
82
Verified Followers
0.08% of total
12,013
Protected Accounts
11.89% 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 |
|---|---|---|---|
| @NationTV22 | 2,495,902 | - | - |
| @peartunwarat | 1,091,839 | Social Media Influencer | self-improvement, happiness, social media |
| @waiibearbie | 915,115 | Influencer | cats, food, cosmetics |
| @SABENZZ | 871,461 | Writer | writing, friendship, tweeting |
| @Dr_coachbear | 528,895 | Wellness Doctor | wellness, healthy lifestyle, weight loss |
| @MVDeepQuotes | 326,228 | Quote Curator | Movies, Quotes, Life |
| @bbigkachu | 306,442 | Reviewer | Review everything, Eat travel, Movies series |
| @Plollipop2 | 230,572 | Content Creator | chubby, curvy, bbw |
| @nookvip | 230,239 | Bookstore | Books, Reading, Literature |
| @thainnfx | 219,695 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,874
Followers With Bio
52,125
Followers Without Bio
48.39%
% With Bio
51.61%
% 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 3,248 analyzed33,478
Combined Engagement
17,128
Total Likes
16,350
Total Retweets
6,696
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
🎂 Happy Birthday 🎉 #LISA สุขสันต์วันคล้ายวันเกิด ✨ หนึ่งในสมาชิกวง #BLACKPINK มาร่วมอวยพรวันเกิดให้น้องลิซ่ากันน้า~ 🥰 #26EdelweissForLISA #TheGreatestLalisaDay #락스타_팝스타_라리사_생일날 #SFcinema 🍿❤️ https://t.co/62o72vIktE
🎂 Happy Birthday 🎉 นนน - กรภัทร์ เกิดพันธุ์ สุขสันต์วันคล้ายวันเกิด น้องนนน FRIEND OF SF มาร่วมอวยพรให้น้องกันค่ะ~ ✨🥰 🎬ใครรอดู #MyPrecious #รักแรกโคตรลืมยาก ก็ติดตามกันได้ เร็ว ๆ นี้ ที่ #SFcinema 🍿❤️ #HappyTripleNDay2022 #nanon_korapat #mynameisnanon https://t.co/2TClHyBz84
🎉 ยินดีกับ #NCTDREAM ด้วยน้า กับการคว้ารางวัล 🏆 Worldwide Fans Choice Top 10 ในงาน #2022MAMAAWARDS 🐯🐰🐶🐻🦊🐬🐹 และพรุ่งนี้อย่าลืมมาเชียร์น้องดรีมกับภาพยนตร์ #NCTDREAMTHEMOVIEInADREAM ที่ #SFcinema 🍿💚 ภาพจาก Twitter | NCTsmtown_DREAM https://t.co/KOk4E0JFnS
💜รวมเรื่องที่ #ARMY ต้องรู้ ก่อนไปดู #BTS #YetToComeinCinemas 🗓เข้าฉาย 1 ก.พ. 66 - 4 ก.พ. 66 🎟ขายบัตร 11 ม.ค. 66 เวลา 07.00 น. ✨ราคาเริ่มต้น 550 บ. สมาชิก SF+ รับส่วนลด 50 บ. / ที่นั่ง 📢ทุกที่นั่งรับของพรีเมียมลิขสิทธิ์แท้จากภาพยนตร์ #BTSYTC_in_Cinemas #SFcinema 🍿💜 https://t
💜เหล่า #ARMY เตรียมตัวรับความฟิน ที่ เอส เอฟ กับ BTS: Yet To Come in Cinemas 📌 เปิดขายบัตรวันพุธ ที่ 11 ม.ค. 66 แล้วเจอกันน้าาา~ ทุกคน #BTS #YetToComeInCinemas #SFcinema 🍿💜 https://t.co/ZuJkANF2tL
Key Insights & Takeaways
The account heavily relies on birthday wishes and celebrity content to maintain engagement. It promotes movie events and concerts, often with special offers for followers. The use of trending hashtags and links helps increase visibility and participation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,473,546
- + 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 @WeLoveSF reveals an well-established Twitter presence with 1,473,546 followers. The account demonstrates a content-creator strategy, averaging 161.5 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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