紀野 紗良 🌸

紀野 紗良 🌸

@sakuramochisara

東京大学大学院/理系/司書と学芸員🥚/TBS『東大王』/道産子/YouTube始めました/勉強法の本発売中📖/謎解き/文房具/お仕事のご依頼▶︎sakurarah.k(@)https://accounts.google.com/v3/signin/identifier?continue=https%253A%252F%252Fmail.google.com%252Fmail%252Fu%252F0%252F&dsh=S1695284942%253A1782904082300822&emr=1&followup=https%253A%252F%252Fmail.google.com%252Fmail%252Fu%252F0%252F&osid=1&passive=1209600&service=mail&flowName=WebLiteSignIn&flowEntry=ServiceLogin&ifkv=AcDsRvy1j7OumnCrmNFfOaJh9kwbfqhaGzg3RjsOMrywnp3JkjVW6IyMh9mZ9kvOC3T3moOa82hVYw

https://www.facebook.com/unsupportedbrowser Joined 2019-03-06 Date of Analysis: Dec 16, 2025

76,074

Followers

98

Following

2,136

Tweets

1,244.7

Avg Engagement

410

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sakuramochisara'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:2019-03-06
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:500
  • Avg Likes per Tweet:945.0
  • Avg Retweets per Tweet:299.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 500 tweets

The account has a high average engagement rate with likes and retweets, indicating a loyal and active following. The content is well-received and shares personal milestones and achievements.

945.0

Avg Likes/Tweet

299.7

Avg Retweets/Tweet

472,479

Total Likes

149,874

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

502

Median Likes

35

Median Retweets

1,445

75th Percentile

42,893

Top Tweet

16.36

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

42.6%

Original

37.8%

Replies

12.0%

Retweets

7.6%

Quotes

0.0%

Threads

0.2%

With Media

49.2%

With Links

29.8%

With #Tags

43.0%

With @Mentions

52.4%

With Emojis

86

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.89

Reply/Original Ratio

0.63

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

72.6%

Weekday Posts

27.4%

Weekend Posts

Top Hashtags

#東大王 (42) #紀野紗良 (12) #fifaworldcup (9) #日向坂46 (8) #東大王春のファン祭り2022 (8) #tokyoエシカル (7) #きののめし (5) #ひなくり2022 (5) #バゲット (4) #潜在能力テスト (4)

Most Mentioned

@toudaiou_tbs (16) @arai_kucam (10) @sakuramochisara (9) @163_oosr (9) @youtubeより (9) @01030405_ (8) @sakuzyo_skz (7) @sngw22 (5) @kazamaraita (5) @ichirota0325 (4)

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Content Strategy Analysis

Based on 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 213 (43%)
Replies 189 (38%)
Retweets 60 (12%)
Quote Tweets 38 (8%)

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 60 retweets (12% 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 500 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 50,000 followers

The audience likely includes students, academics, and fans of the TBS show『東大王』. They are interested in education, puzzles, and creative content.

Good

Audience Quality

19.4%

Suspicion Index

23.4%

Low-Quality %

35

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

33.8%

Empty Bio

19.5%

<10 Tweets

7.5%

Mass Following (>2K)

0.0%

New (<90 days)

45.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.5%

No URL

13.0%

<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.

13,251,145

Total Potential Reach

35

Median Follower Reach

180

75th Percentile Reach

3.6%

>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).

62.3%

Creators

31,144 accounts

18.2%

Consumers

9,099 accounts

19.5%

Dormant

9,757 accounts

93

Verified Followers

0.19% of total

0.2%

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 (1,354) Japan (386) 東京 (242) 日本 東京 (213) 東京都 (124) 北海道 (123) 大阪 (86) Tokyo-to, Japan (85) 神奈川県 (83) 愛知県 (80)

137

Verified Followers

0.18% of total

20,762

Protected Accounts

26.95% 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
@ryogomatsumaru 725,937 Game Developer Puzzle solving, Pokemon, Vocaloid
@thetvjp 634,550 Entertainment Drama, Anime, News
@tax_i_ 446,867 Quiz Player Quiz, YouTube, Adventure
@nauru_japan 445,286 Tourism tourism, government, promotion
@kadokawa_san 408,884 Book Blogger Books, Movies, Animals
@fukura_p 308,296 Entertainer QuizKnock, Music, Entertainment
@yukirin_u 291,289 YouTuber YouTube, Science, Cola
@Sugai_Shunki 257,801 Academic QuizKnock, Academia, Media
@Miracle_Fusion 245,386 Quiz Master Quiz, FairWind, TQC
@sou_mizukami 240,056 TV Personality 東大王, オフコース, 出演

Top Keywords in Follower Bios

quizknock (2,246) qk (605) youtube (546) twitter (464) dm (446) line (409) rt (375) b (340) love (281) youtuber (205)

Top Hashtags in Follower Bios

#quizknock (180) #ハ (110) #日向坂46 (109) #フ (104) #乃木坂46 (86) #ホ (83) #qk学ほ (80) #東大王 (79) #クイス (64) #シ (57)

52,690

Followers With Bio

24,356

Followers Without Bio

68.39%

% With Bio

31.61%

% 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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Viral Tweets

Top 5 by likes+RTs from 500 analyzed

118,691

Combined Engagement

31,235

Total Likes

87,456

Total Retweets

23,738

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Education Entertainment Personal Achievements Puzzles Stationery Youtube Books
紀野 紗良 🌸
@sakuramochisara

RT @TEPCOPG: 電力需給が極めて厳しくなっています。このままの状況が続くと、本日の夜20時以降に揚水式水力発電の運転が停止し、約500万kW(200万~300万軒規模)の停電が発生するおそれがあります。 そのため、更に毎時200万kW程度の節電が必要であり、もう一段の…

2022-03-22
Retweets: 42,893 Likes: 0 Engagement: 42,893
紀野 紗良 🌸
@sakuramochisara

RT @arakencloud: スマホの停電対策のまとめです。 https://t.co/d8sk9rjAw2

2022-03-16
Retweets: 25,946 Likes: 0 Engagement: 25,946
紀野 紗良 🌸
@sakuramochisara

東京大学農学部を卒業しました。大学内外ともに、人に恵まれた4年間でした。本当にありがとうございました! https://t.co/7f79Ndy3eH https://t.co/fDczEkBMOS

2022-03-25
Retweets: 948 Likes: 20,040 Engagement: 20,988
紀野 紗良 🌸
@sakuramochisara

RT @livedoornews: 【停電中の方へ】iPhoneのバッテリー消耗を抑える方法 ・画面を暗めに設定 ・必要時以外はWi-Fi・Bluetoothをオフ ・「設定」→「アクセシビリティ」→「動作」→「視差効果を減らす」をオン ・「設定」→「バッテリー」→「低電力モ…

2022-03-16
Retweets: 16,716 Likes: 0 Engagement: 16,716
紀野 紗良 🌸
@sakuramochisara

#東大王 ありがとうございました! 多くの方々に支えられた東大王での3年間は非常に濃く、充実していました。たくさんの愛をありがとうございました。 https://t.co/SvdqvJpcRd

2022-03-23
Retweets: 953 Likes: 11,195 Engagement: 12,148

Key Insights & Takeaways

The user frequently shares personal achievements and milestones, which helps build a connection with followers. They engage with educational and entertainment content, suggesting a mix of informative and recreational interests. The use of hashtags and links to external content (like YouTube and books) indicates a strategy to expand their reach and provide additional value.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 76,074
  • + 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 @sakuramochisara reveals an exceptionally influential Twitter presence with 76,074 followers. The account demonstrates a content-creator strategy, averaging 1,244.7 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