太田光代
楽しいので始めてみました。
182,583
Followers
22,517
Following
28,573
Tweets
453.5
Avg Engagement
4,473
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ota324'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:2009-12-01
- Verification:No
- Location:TOKYO JAPAN
Data Summary
- Tweets Analyzed:3,228
- Avg Likes per Tweet:298.3
- Avg Retweets per Tweet:155.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,228 tweetsThe account maintains a high level of engagement, with tweets receiving substantial likes and retweets. The content is well-received and resonates with the audience.
298.3
Avg Likes/Tweet
155.2
Avg Retweets/Tweet
962,935
Total Likes
500,989
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
116
Median Likes
16
Median Retweets
401
75th Percentile
75,225
Top Tweet
2.48
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
32.3%
Original
34.0%
Replies
24.6%
Retweets
9.0%
Quotes
0.0%
Threads
1.4%
With Media
44.6%
With Links
20.1%
With #Tags
46.5%
With @Mentions
42.8%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.05
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,228 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 793 retweets (25% 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 3,228 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 appears to be interested in comedy, entertainment, and current events. They are likely fans of Japanese comedy and news content.
Average
Audience Quality
22.2%
Suspicion Index
28.3%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.1%
Empty Bio
23.1%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
46.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
15.5%
<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.
49,956,507
Total Potential Reach
32
Median Follower Reach
172
75th Percentile Reach
5.9%
>1K followers
0.6%
>10K followers
0.2%
>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).
59.2%
Creators
29,583 accounts
17.7%
Consumers
8,868 accounts
23.1%
Dormant
11,549 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):
381
Verified Followers
0.38% of total
18,816
Protected Accounts
18.63% of total
8 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 |
|---|---|---|---|
| @Starbucks_J | 7,025,121 | Coffee | coffee, community, customer service |
| @hikakin | 6,506,571 | YouTuber | YouTube, SNS, Collaboration |
| @takapon_jp | 3,589,397 | Entrepreneur | Entrepreneurship, Paid newsletter, Spaces |
| @0220nicole | 2,785,109 | Model | Fashion, Modeling, Magazines |
| @motohage | 2,569,293 | Entertainer | Music, Life, Instagram |
| @hirox246 | 2,384,064 | Author | Books, Comedy, Effort |
| @ABEMA | 2,140,605 | Media | News, Drama, Anime |
| @kskgroup2017 | 1,777,154 | Entrepreneur | Angel investor, Entrepreneur, Soccer |
| @sosotakei | 1,559,637 | Athlete | fencing, athlete, warrior |
| @takuya_hyon | 1,352,394 | Entertainer | LGBTQ+, honesty, personal growth |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,755
Followers With Bio
40,243
Followers Without Bio
60.15%
% With Bio
39.85%
% 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 3,228 analyzed201,540
Combined Engagement
59,411
Total Likes
142,129
Total Retweets
40,308
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @nhk_seikatsu: 【奄美群島とトカラ列島に津波警報】 南太平洋のトンガの火山島で日本時間のきのう午後発生した大規模な噴火で、気象庁は、津波警報を鹿児島県の奄美群島とトカラ列島に発表しました。予想される津波の高さは3メートルです。 津波が来ます。急いで逃げて下さ…
RT @M1GRANDPRIX: ━━━━━━━━━━━━━ 🏆M-1グランプリ2022🏆 ファイナリストはこの９組 ━━━━━━━━━━━━━ #真空ジェシカ #ダイヤモンド #ヨネダ2000 #男性ブランコ #さや香 #ウエストランド #キュウ #カベポスター #ロングコー…
お祝いしたの。嬉しかったから。そして楽しかった。 https://t.co/YBSwWPlnnJ
夜に夢を見たの。
RT @M1GRANDPRIX: 🔥M-1グランプリ 準決勝進出者決定🔥 11月30日(水)、決勝の座をかけた戦いに挑むのはこの27組！ https://t.co/tUeUNIjjt3 #M1 #M1グランプリ https://t.co/IErNoYr2pe
Key Insights & Takeaways
The account frequently shares personal and emotional experiences, which likely contribute to its engagement. It also engages with news and entertainment content, suggesting a mix of personal and public interests. The use of verified links indicates a focus on sharing credible and relevant information.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 182,583
- + 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 @ota324 reveals an well-established Twitter presence with 182,583 followers. The account demonstrates a conversation-first approach, averaging 453.5 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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