大濱﨑 卓真
選挙コンサルタント・政治アナリスト（ジャッグジャパン代表）。Yahoo!ニュース エキスパート オーサー（選挙・国内政治）。「選挙を科学する」「不偏不党」を社是に国政選挙や地方選を政党問わず支援。政治活動支援アプリ「ミエセン®︎」提供。『都道府県別新型コロナ感染者数マップ』でGIS学会賞。 ♻️＆❤️≠👍
20,060
Followers
1,150
Following
33,569
Tweets
435.1
Avg Engagement
491
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @oohamazaki'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:2009-06-18
- Verification:No
- Location:選挙情勢や裏話・政治活動のご相談などは公式LINE▶︎
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:99.7
- Avg Retweets per Tweet:335.4
- Followers Analyzed:20,267
Engagement Analysis
Based on 3,237 tweets其推文平均获得大量点赞和转发，显示出高互动性。内容常涉及热门政治事件，引发广泛讨论和转发。
99.7
Avg Likes/Tweet
335.4
Avg Retweets/Tweet
322,595
Total Likes
1,085,665
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
5
Median Retweets
89
75th Percentile
178,314
Top Tweet
21.69
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
42.0%
Original
27.7%
Replies
15.2%
Retweets
15.1%
Quotes
0.0%
Threads
0.0%
With Media
51.7%
With Links
10.8%
With #Tags
42.0%
With @Mentions
3.1%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.99
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
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 493 retweets (15% 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 20,267 followers主要受众为对政治、选举和公共政策感兴趣的日本国内用户，包括政治爱好者、学生及行业从业者。内容也吸引关注社会趋势和数据分析的用户。
Good
Audience Quality
16.6%
Suspicion Index
15.4%
Low-Quality %
201
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.2%
Empty Bio
9.6%
<10 Tweets
23.8%
Mass Following (>2K)
0.0%
New (<90 days)
27.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.4%
No URL
6.6%
<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.
56,413,980
Total Potential Reach
201
Median Follower Reach
692
75th Percentile Reach
18.3%
>1K followers
1.8%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
82.0%
Creators
16,628 accounts
8.4%
Consumers
1,693 accounts
9.6%
Dormant
1,946 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):
166
Verified Followers
0.82% of total
3,054
Protected Accounts
15.07% of total
9 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 |
|---|---|---|---|
| @JohnCena | 14,106,584 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hootsuite | 7,331,484 | Social Media Manager | Social media, news, tips |
| @verified | 4,201,279 | - | - |
| @tsuda | 1,495,280 | Journalist | Journalism, Media activism, Politics |
| @kenichiromogi | 1,427,194 | Neuroscientist | neuroscience, author, broadcaster |
| @h_ototake | 878,632 | Author | Disability advocate, author, motivational speaker |
| @kazuyo_k | 751,123 | Economist | economics, demographics, gender equality |
| @takeshi_tsuruno | 656,094 | Singer | music, singing, art |
| @macchi0222 | 378,266 | Real Estate | basketball, summer, sea |
| @miosugita | 329,467 | Politician | politics, networking, activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
15,360
Followers With Bio
4,907
Followers Without Bio
75.79%
% With Bio
24.21%
% 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 3,237 analyzed417,940
Combined Engagement
0
Total Likes
417,940
Total Retweets
83,588
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @elonmusk: Entering Twitter HQ – let that sink in! https://t.co/D68z4K2wq7
RT @UN_NERV: 【東京電力管内 停電情報】 約2,085,270軒で停電が発生しています。 https://t.co/J2JNQ6VqYG
RT @UN_NERV: 【NHKニュース速報 16:03】 漫画「遊戯王」作者の高橋和希さん死去 沖縄・名護市の沖合で遺体で見つかる
RT @irasutoya: プラカードのイラスト（吹き出し付き） https://t.co/fYClBBM1bL
RT @lrlrxxyy: 文京区大停電 https://t.co/vF5Oiqwfgm
Key Insights & Takeaways
oohamazaki 的内容聚焦于选举策略和政治分析，提供专业视角和数据支持。 他经常引用实时数据和趋势，如疫情数据和选情分析，增强内容可信度。 其推文风格直接且具有批判性，鼓励读者思考和讨论政治议题。
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 20,060
- + 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 @oohamazaki reveals an well-established Twitter presence with 20,060 followers. The account demonstrates a content-creator strategy, averaging 435.1 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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