江川 清音@ウェザーニュースLiVE

江川 清音@ウェザーニュースLiVE

@sah_yan

ウェザーニュースキャスター☀️24時間天気をお伝えする番組『ウェザーニュースLiVE』のキャスターです!56回全日本学生競技ダンス選手権大会 ルンバの部優勝🏆&ボールルームクイーン受賞🏅好き→ダンス💃自然季節🌷ハンドメイド✂️

https://weathernews.jp/wnl/caster/egawa.html Joined 2011-07-05 Date of Analysis: Dec 16, 2025

36,871

Followers

208

Following

11,477

Tweets

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sah_yan'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:2011-07-05
  • Verification:No
  • Location:Not specified

Data Summary

  • Followers Analyzed:36,490

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Audience Demographics

Based on 36,490 followers

The audience primarily consists of weather enthusiasts and individuals interested in lifestyle content. They are likely to be young adults who enjoy both informative and creative content.

Average

Audience Quality

22.4%

Suspicion Index

27.2%

Low-Quality %

52

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

39.4%

Empty Bio

21.6%

<10 Tweets

16.7%

Mass Following (>2K)

0.0%

New (<90 days)

42.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.5%

No URL

15.0%

<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.

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Follower Reach & Influence

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

17,613,427

Total Potential Reach

52

Median Follower Reach

244

75th Percentile Reach

6.5%

>1K followers

0.3%

>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).

62.8%

Creators

22,917 accounts

15.6%

Consumers

5,700 accounts

21.6%

Dormant

7,873 accounts

315

Verified Followers

0.86% of total

0.5%

Professional Bios

founder, dev, analyst, etc.

0.13

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 (909) Japan (464) 東京 (183) 日本 東京 (183) 東京都 (161) Tokyo-to, Japan (125) 北海道 (107) 愛知県 (96) 神奈川県 (91) 千葉県 (89)

315

Verified Followers

0.86% of total

5,555

Protected Accounts

15.22% of total

7 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
@wni_jp 626,585 Meteorologist weather forecast, meteorology, disaster prevention
@nauru_japan 485,410 Tourism tourism, government, promotion
@AliceProject_mb 422,888 Idol Music, Idol, Performance
@sayahiyama_1027 390,423 Weathercaster Anime, Books, Games
@zammit_marc 383,528 Filmmaker Film, Acting, Producing
@arakencloud 338,292 Meteorologist Weather, Disaster prevention, Clouds
@LINELIVE_JP 331,584 Entertainment Actor, Musician, Idol
@sinrinet 328,386 Psychiatrist psychiatry, manga, psychology
@cerisier_tokyo 248,586 - -
@kikko_no_blog 216,422 Blogger Black cats, Horse racing, Reading

Top Keywords in Follower Bios

twitter (305) live (257) youtube (243) dm (198) love (162) w (149) rt (145) f (138) life (94) japan (82)

Top Hashtags in Follower Bios

#ウェサ (83) #ハ (70) #フ (53) #ホ (48) #カ (30) #タ (26) #ト (23) #フォロハ (22) #ヒ (22) #阪神タイカ (20)

22,107

Followers With Bio

14,383

Followers Without Bio

60.58%

% With Bio

39.42%

% 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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Key Insights & Takeaways

Sah_yan's profile highlights a mix of professional and personal interests, which can be leveraged to create more relatable content. Their verified status is low, which may affect trust and credibility among followers. There is an opportunity to increase engagement by incorporating more multimedia elements such as videos or images.

Strengths

  • + Established follower base of 36,871
  • + 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 @sah_yan reveals an growing Twitter presence with 36,871 followers. The account demonstrates a content-creator strategy, averaging 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