#東京国際映画祭 #TIFFJP
第36回東京国際映画祭 2023年10月23日(月)~11月1日(水)10日間開催! 36th TIFF October 23 – November 1, 2023! https://www.youtube.com/c/TIFFTOKYOnet English Account→@tiff_english
58,765
Followers
13,992
Following
33,690
Tweets
299.5
Avg Engagement
1,572
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tiff_site'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:2009-09-25
- Verification:No
- Location:東京都
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:40.1
- Avg Retweets per Tweet:259.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,246 tweetsThe account has a high average engagement rate with likes and retweets, suggesting active interaction from followers. It uses promotional and event-based tweets to drive engagement.
40.1
Avg Likes/Tweet
259.5
Avg Retweets/Tweet
130,058
Total Likes
842,269
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
12
Median Retweets
80
75th Percentile
137,595
Top Tweet
5.1
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
21.6%
Original
4.8%
Replies
71.7%
Retweets
1.9%
Quotes
0.0%
Threads
0.1%
With Media
89.0%
With Links
70.8%
With #Tags
77.5%
With @Mentions
46.1%
With Emojis
163
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.9%
Weekday Posts
20.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 2,329 retweets (72% 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 3,246 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 is likely film enthusiasts, industry professionals, and potential attendees of the Tokyo International Film Festival. Followers are interested in film events, cast information, and behind-the-scenes content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.0%
No URL
100.0%
<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.
15,728,140
Total Potential Reach
54
Median Follower Reach
236
75th Percentile Reach
6.9%
>1K followers
1.2%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,606
Protected Accounts
16.06% 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 |
|---|---|---|---|
| @THR | 3,448,390 | Entertainment News | Entertainment, News, Reviews |
| @LiSA_OLiVE | 1,608,305 | Singer | Music, Anime, Live Performances |
| @tsuda_ken | 1,074,368 | Voice Actor | anime, movies, photography |
| @renampme | 1,055,738 | Actress | Movies, Theater, Stage productions |
| @cinematoday | 681,112 | Film Critic | Movies, Updates, Staff |
| @AEON_CINEMA | 427,283 | Entertainment | movies, entertainment, events |
| @kohmi | 349,898 | Singer | music, singer-songwriter, TikTok |
| @ISOKO_MOCHIZUKI | 293,505 | Journalist | politics, investigative journalism, social issues |
| @tyougakusei | 239,465 | Influencer | Art, Work, Social Media |
| @erikatodastaff | 219,604 | Actress | Actress, Japan, Instagram |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,048
Followers With Bio
2,952
Followers Without Bio
70.48%
% With Bio
29.52%
% 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 3,246 analyzed241,977
Combined Engagement
0
Total Likes
241,977
Total Retweets
48,395
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @livedoornews: 【訃報】音楽家の坂本龍一さん死去 71歳 https://t.co/PQ6k4eokvv 80年代に3人組バンド・YMOで世界的ヒット曲を生み出した。映画音楽でも知られ、88年には米映画『ラストエンペラー』で米アカデミー作曲賞を日本人で初めて受賞。晩年はがん闘病が続いたが、最後まで音楽作りに情熱を注いだ。 https://t.co/n7DlL2UdpA
RT @livedoornews: 【訃報】女優でタレントのあき竹城さんが死去 75歳 https://t.co/QGK83B1tDU
RT @godzilla_jp: ゴジラ最新作、製作決定。 監督:山崎貴 2023年11月3日(金)公開。 https://t.co/2ZxeMaNeUB
RT @KR_BLACKSUN: ◤ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄◥ #仮面ライダーBLACKSUN 予告映像解禁 ◣___________◢ 10/28(金)0時〜 #プライムビデオ にて 全10話、一挙世界独占配信❗️ 🔽視聴ページ https://t.co/vkk8i9aIo4 🔽詳細 https://t.co/ovnVoUu045 #ブラックサン #白石和彌 #西島秀俊 #中村倫也 https://t.co/UnZksoZyuc
RT @eiga_tsukimichi: 第46回 #日本アカデミー賞 🎬優秀賞9部門&新人俳優賞受賞🎖️  ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ☾*・。 受賞一覧 。・*☽ ✧作品賞:#月の満ち欠け ✧主演男優賞:#大泉洋 ✧助演女優賞:#有村架純 ✧助演男優賞:#目黒蓮 (#SnowMan) ✧新人俳優賞:#目黒蓮 (#SnowMan) #菊池日菜子 https://t.co/GDS8DFhPmn
Key Insights & Takeaways
The account leverages event announcements and promotions to boost engagement Interactive tweets such as contests and Q&A sessions encourage user participation Focus on film-related content and collaborations with notable cast members attracts a dedicated audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,765
- + 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 @tiff_site reveals an well-established Twitter presence with 58,765 followers. The account demonstrates a content-creator strategy, averaging 299.5 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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