檜山沙耶
ウェザーニュース気象キャスター・防災士・いばらき大使🌹/ 茨城県水戸市出身 /アニメ・本・ゲームが好きです/エッセイ「ブルーモーメント」お仕事のご依頼は[email protected]までお願いいたします
382,819
Followers
670
Following
4,110
Tweets
2,646.6
Avg Engagement
1,279
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sayahiyama_1027'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: Macro Influencer (100K+)
- Account Age:2018-10-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:2,343.6
- Avg Retweets per Tweet:303.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsTheir tweets consistently receive high engagement, indicating a strong connection with their audience. Popular topics like SPY×FAMILY and New Year greetings drive significant interaction.
2,343.6
Avg Likes/Tweet
303.0
Avg Retweets/Tweet
7,614,333
Total Likes
984,447
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
858
Median Likes
87
Median Retweets
3,370
75th Percentile
200,342
Top Tweet
6.91
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
30.2%
Original
33.4%
Replies
19.6%
Retweets
16.8%
Quotes
0.0%
Threads
0.0%
With Media
49.0%
With Links
14.8%
With #Tags
51.6%
With @Mentions
54.5%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.1
Reply/Original Ratio
0.86
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 636 retweets (20% 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 3,249 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 includes fans of anime, weather enthusiasts, and disaster preparedness advocates. They also attract followers interested in entertainment and lifestyle content.
Average
Audience Quality
20.4%
Suspicion Index
28.6%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.9%
Empty Bio
23.9%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
42.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
17.2%
<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.
26,016,209
Total Potential Reach
28
Median Follower Reach
145
75th Percentile Reach
3.8%
>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).
58.6%
Creators
29,286 accounts
17.5%
Consumers
8,756 accounts
23.9%
Dormant
11,958 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):
327
Verified Followers
0.33% of total
19,426
Protected Accounts
19.43% 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 |
|---|---|---|---|
| @enako_cos | 2,045,696 | Cosplayer | 田村ゆかり, FPS, 音ゲー |
| @iorimoe_five | 1,355,960 | - | - |
| @SinghLions | 1,334,824 | Restaurateur | Food, Travel, Influencer |
| @amanekanatach | 1,207,352 | Singer | Singing, Gaming, Anime |
| @natsuiromatsuri | 1,180,579 | Cosplayer | Art, Cosplay, Voice Acting |
| @momosuzunene | 966,003 | Vtuber | idol, live streaming, merchandise |
| @SHARP_JP | 835,860 | Electronics | electronics, innovation, communication |
| @achan_UGA | 821,658 | Staff | VTuber, 2D Illustration, Hololive |
| @yozoramel | 727,054 | Virtual YouTuber | art, vampire, live streaming |
| @hakuikoyori | 696,446 | Virtual YouTuber | music, hololive, dreams |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,419
Followers With Bio
39,581
Followers Without Bio
60.42%
% With Bio
39.58%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed530,932
Combined Engagement
365,809
Total Likes
165,123
Total Retweets
106,186
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
SPY×FAMILY いばら姫🥀 ヨル・フォージャー https://t.co/WgY3ARJmhw
シャフ度 https://t.co/JjwKjIJCaK
RT @jujutsu_PR: 【プレゼント】#呪術廻戦 原作Twitterフォロワー120万人突破記念! 抽選で1名様に、JUMP SHOP 領域展開フェア2022で販売された一部商品を詰め合わせにしてプレゼント! 是非ご参加ください! 条件は下記のツイートをチェック!…
🎍謹賀新年🎍 https://t.co/50zUjUsBIj
RT @arakencloud: 地震発生時に気をつけることまとめです。 https://t.co/X0mmPxNOlW
Key Insights & Takeaways
They effectively combine professional expertise with personal interests to create relatable content Their engagement metrics suggest a loyal and active follower base Collaborations with anime and entertainment topics boost visibility and interaction
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 382,819
- + High community engagement through conversations
- + 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 @sayahiyama_1027 reveals an exceptionally influential Twitter presence with 382,819 followers. The account demonstrates a conversation-first approach, averaging 2,646.6 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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