「万聖街(ばんせいがい)」公式

「万聖街(ばんせいがい)」公式

@banseigai

「万聖街」日本語吹替版 好評配信中! 寒木春華(HMCH)スタジオと非人哉工作室(FENZスタジオ)が制作を手掛けたアニメ「万聖街」日本語吹替版公式アカウントです。

万聖街 https://banseigai.com/ Joined 2022-03-11 Date of Analysis: Dec 16, 2025

38,271

Followers

22

Following

458

Tweets

1,288.5

Avg Engagement

227

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @banseigai'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:2022-03-11
  • Verification:No
  • Location:万聖街

Data Summary

  • Tweets Analyzed:435
  • Avg Likes per Tweet:832.3
  • Avg Retweets per Tweet:456.2
  • Followers Analyzed:38,330

Engagement Analysis

Based on 435 tweets

The account has a high average engagement rate with likes and retweets, indicating strong audience interaction. The use of hashtags and links to promotional content further boosts engagement.

832.3

Avg Likes/Tweet

456.2

Avg Retweets/Tweet

362,045

Total Likes

198,445

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

393

Median Likes

158

Median Retweets

1,236

75th Percentile

21,976

Top Tweet

33.67

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

59.1%

Original

3.4%

Replies

33.8%

Retweets

3.7%

Quotes

0.0%

Threads

0.0%

With Media

75.6%

With Links

77.9%

With #Tags

35.9%

With @Mentions

81.1%

With Emojis

140

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.06

Reply/Original Ratio

0.11

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

83.4%

Weekday Posts

16.6%

Weekend Posts

Top Hashtags

#万聖街 (325) #allsaintsstreet (76) #山下大輝 (44) #石川界人 (37) #福山潤 (23) #前野智昭 (17) #小さな万聖街 (12) #羅小黒戦記 (12) #aof2022 (12) #animejapan (11)

Most Mentioned

@nekobolo (21) @sfhbsfhb (20) @daiking_boy (16) @allsaintsstree1 (13) @banseigai (10) @aniplex_plus (9) @aniplex_event (8) @onsenradio (7) @sasanomaly_info (6) @magazine_pash (5)

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Content Strategy Analysis

Based on 435 tweets

Content Type Distribution

Content Breakdown

Original Tweets 257 (59%)
Replies 15 (3%)
Retweets 147 (34%)
Quote Tweets 16 (4%)

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 147 retweets (34% 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 435 tweets

Engagement 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 38,330 followers

The primary audience consists of anime fans, particularly those interested in the dubbed version of '万聖街'. The content appeals to both Japanese and international audiences due to the dubbing aspect.

Good

Audience Quality

15.7%

Suspicion Index

10.2%

Low-Quality %

33

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

15.0%

Empty Bio

8.2%

<10 Tweets

9.2%

Mass Following (>2K)

0.0%

New (<90 days)

50.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

81.6%

No URL

5.4%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

19,935,530

Total Potential Reach

33

Median Follower Reach

146

75th Percentile Reach

4.8%

>1K followers

0.7%

>10K followers

0.1%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

82.9%

Creators

31,783 accounts

8.9%

Consumers

3,415 accounts

8.2%

Dormant

3,132 accounts

58

Verified Followers

0.15% of total

0.6%

Professional Bios

founder, dev, analyst, etc.

0.1

Median Follow Ratio

follower/following

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):

日本 (598) Japan (147) 東京 (92) 日本 東京 (72) 関西 (62) 20↑ (56) 成人済 (54) Taiwan (49) he/him (47) 大阪 (46)

58

Verified Followers

0.15% of total

10,962

Protected Accounts

28.6% 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
@uki_violeta 859,425 Psychic Psychic, NIJISANJI EN, NOCTYX
@DaiKing_boy 665,218 Voice Actor Voice acting, Full power, Meat
@Anime_ABEMA 431,393 Anime Streaming Anime, Voice Actors, TV Shows
@ish_kaito 368,279 声優 anime, voice acting, natsume_san
@danidanihatikyu 332,023 Illustrator Okita Souji, Manga, Illustrator
@gaydio_zrong 323,852 Illustrator BL, Yaoi, Gay
@aniplex_plus 306,788 Anime Merchandise anime, merchandise, shop
@marika_0222 290,954 Voice Actress Voice acting, Music, Tourism
@tyougakusei 230,473 Influencer Art, Work, Social Media
@holy_yell0525 218,570 Musician Music, Travel, Food

Top Keywords in Follower Bios

rt (800) rom (573) art (529) repost (422) bl (399) artist (358) love (342) fgo (304) sheher (250) hehim (236)

Top Hashtags in Follower Bios

#ハ (23) #1 (22) #石川界人の秘密基地 (18) #ホ (17) #アニメ (11) #フ (10) #原神 (9) #ヒロアカ (8) #blm (7) #blacklivesmatter (7)

32,593

Followers With Bio

5,737

Followers Without Bio

85.03%

% With Bio

14.97%

% 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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Viral Tweets

Top 5 by likes+RTs from 435 analyzed

94,352

Combined Engagement

60,964

Total Likes

33,388

Total Retweets

18,870

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

100%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Anime Dubbing Collaboration Festivity Promotion Studio Partnerships
「万聖街(ばんせいがい)」公式
@banseigai

■■―――――――🎃  🏠「万聖街」🚪   日本語吹替版   🎊制作決定🎉 🎃―――――――■■ 「羅小黒戦記」のHMCHスタジオと 非人哉工作室が制作を手掛けたアニメ 「#万聖街」日本語吹替版制作決定🎬 🐐🧛続報をお楽しみに🐺👼 https://t.co/LzeTz2tmvE #万聖街 https://t.co/sq58t2NFyZ

2022-03-20
Retweets: 8,557 Likes: 13,419 Engagement: 21,976
「万聖街(ばんせいがい)」公式
@banseigai

||◤ 🏠お知らせ1⃣📣 「万聖街」日本語吹替版  🎃2022年秋放送開始🍁  ━━━━━━━━━━━🐐 これは、あくまで  何気ない日常のお話。 吹替版キャスト解禁🎉🎉 “人ならざる者たち”の日常をぜひお楽しみください👀 📌公式HP https://t.co/LzeTz2tmvE #万聖街 #allsaintsstreet

2022-07-29
Retweets: 8,374 Likes: 11,347 Engagement: 19,721
「万聖街(ばんせいがい)」公式
@banseigai

👔👿お兄ちゃん組から        みなさまへ👼📚 🐰春節おめでとうございます🎉 幸せいっぱいの兎年になりますように🐇 #万聖街 #allsaintsstreet https://t.co/O35ZFGOz2K

2023-01-22
Retweets: 4,700 Likes: 14,137 Engagement: 18,837
「万聖街(ばんせいがい)」公式
@banseigai

Merry Christmas🎄 📷🎁🥂🍗⛄ #万聖街 #allsaintsstreet https://t.co/nHlUADC8nN

2022-12-24
Retweets: 4,675 Likes: 13,125 Engagement: 17,800
「万聖街(ばんせいがい)」公式
@banseigai

||◤🏠 お知らせ📣 「万聖街」日本語吹替版   📺放送情報解禁💡 ━━━━━━━━━━━ TVアニメ「万聖街」日本語吹替版 11月11日(金)24:00~放送開始! 10月7日(金)からは 同放送枠で「#羅小黒戦記 ぼくが選ぶ未来」を 全5話にて分割放送🐾 どちらも放送をお楽しみに✨ #万聖街 https://t.co/n6b0OZUnmS

2022-08-27
Retweets: 7,082 Likes: 8,936 Engagement: 16,018

Key Insights & Takeaways

The account frequently uses festive and celebratory themes to connect with its audience. It leverages collaborations between studios to increase credibility and reach. Promotional content is often shared with links to official announcements and updates.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 38,271
  • + 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 @banseigai reveals an exceptionally influential Twitter presence with 38,271 followers. The account demonstrates a content-creator strategy, averaging 1,288.5 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025