佐野真彩
香川県出身 172㎝ 多摩ケーブルのキャスター早10年。
52,420
Followers
409
Following
43,456
Tweets
434.9
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sano_maya'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:2010-06-03
- Verification:No
- Location:日本 東京
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:315.2
- Avg Retweets per Tweet:119.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsHer tweets receive a high number of likes and retweets, indicating a loyal and active audience. The engagement is consistent across her posts.
315.2
Avg Likes/Tweet
119.6
Avg Retweets/Tweet
1,020,426
Total Likes
387,204
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
248
Median Likes
7
Median Retweets
467
75th Percentile
122,567
Top Tweet
8.3
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
64.3%
Original
24.2%
Replies
7.1%
Retweets
4.4%
Quotes
0.0%
Threads
0.2%
With Media
55.6%
With Links
22.2%
With #Tags
28.5%
With @Mentions
65.6%
With Emojis
53
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 229 retweets (7% 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 3,237 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 followersHer followers are likely interested in lifestyle, entertainment, and local culture. They appreciate her personal and relatable content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
76
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)
94.5%
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.
4,052,052
Total Potential Reach
76
Median Follower Reach
231
75th Percentile Reach
4.4%
>1K followers
0.2%
>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).
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
1,619
Protected Accounts
16.19% of total
4 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 |
|---|---|---|---|
| @Mimi4_TV | 453,709 | - | - |
| @AliceProject_mb | 373,372 | Idol | Music, Idol, Performance |
| @trueasianbeauty | 138,946 | Influencer | Asian women, celebration, featured |
| @08kenji01 | 121,052 | Adult entertainer | Adult content, Fanza, DLsite |
| @raguel000 | 105,969 | YouTuber | Solo camping, YouTuber support, Instagram |
| @kirisimayuto | 78,189 | - | - |
| @waki_tengoku | 60,497 | Fetishist | Armpits, Fetish, Sleeveless |
| @ec_nanaka | 51,572 | Racing Model | Racing Model, Round Girl, Gravure Model |
| @MoisesMoraes_RP | 45,641 | - | - |
| @orisyokunin | 42,116 | Entrepreneur | Leadership, Company, Struggle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,881
Followers With Bio
5,119
Followers Without Bio
48.81%
% With Bio
51.19%
% 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 3,237 analyzed307,780
Combined Engagement
0
Total Likes
307,780
Total Retweets
61,556
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @risase0610: https://t.co/AzohYwbMGy 本日の動画はみなさまへのお願いの動画になります。 昨年、私達の間に産まれた長男は、遺伝子疾患である接合部型表皮水疱症という病気であることがわかりました。 表皮水疱症という病気はその中でも様々な型があり、軽度なものから致死性のものまで重症度が様々です。… https://t.co/rUi2v0w0Dg https://t.co/j3KmlRJEae
RT @yamato_19191129: ヤマト運輸は新型コロナウィルス対策として『宅急便』を非対面🚪📦でお受取りいただく対応を行っております。ご希望されるお客さまは、ぜひご利用ください。 #ヤマト運輸 #クロネコヤマト #宅急便 #宅配 https://t.co/b5wiQmrt2n
RT @ore825: 皆様大変永らくお待たせいたしました 僕がSNSで発信してきた全レシピ、およそレシピ本12冊相当の「約1200レシピ」が無料で検索出来る史上最強のサイト 『バズレシピ.com』 オープンしました 余ってる食材を入れれば全部のレシピ出てきます 無料です 超使ってください https://t.co/qwx8GgRqXX https://t.co/17XEiaOhZ7
RT @wni_jp: 【台風19号の停電リスク】 台風19号が直撃する影響で、東京都心を含む広域で暴風が吹き荒れ、停電が発生するリスクがあります。 お住いの地域を確認し、赤や黄色に塗られているエリア の方は早めに台風への対策を行うようにしてください。 https://t.co/ANI4CMREcF https://t.co/k5GL3AbXLb
RT @horimateyo: 東京のエライお医者さんが言ってること聞きましょう https://t.co/GB57Uipu8o
Key Insights & Takeaways
She maintains a consistent posting schedule with daily tweets. Her content is personal and lifestyle-focused, which resonates with her audience. She uses emojis and hashtags to enhance engagement and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,420
- + 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 @sano_maya reveals an well-established Twitter presence with 52,420 followers. The account demonstrates a content-creator strategy, averaging 434.9 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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