Chris Sasaki
バスケットボール解説者 / B.LEAGUE公認アナリスト/ NBA ANALYST
58,687
Followers
541
Following
17,037
Tweets
382.1
Avg Engagement
717
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chrisnewtokyo'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:2010-01-08
- Verification:No
- Location:Tokyo
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:134.2
- Avg Retweets per Tweet:247.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe tweets are highly liked and shared, indicating strong audience interaction. The content often evokes strong emotional responses, which likely contributes to high engagement.
134.2
Avg Likes/Tweet
247.9
Avg Retweets/Tweet
435,875
Total Likes
805,303
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
60
Median Likes
6
Median Retweets
200
75th Percentile
82,800
Top Tweet
6.51
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
40.6%
Original
14.4%
Replies
17.9%
Retweets
27.1%
Quotes
0.0%
Threads
0.1%
With Media
69.1%
With Links
27.6%
With #Tags
32.8%
With @Mentions
51.3%
With Emojis
109
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
1.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 581 retweets (18% 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 3,248 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 sports enthusiasts, particularly those interested in basketball and its competitive aspects. The content resonates emotionally, suggesting a deep connection with fans.
Good
Audience Quality
16.3%
Suspicion Index
24.0%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.6%
Empty Bio
18.6%
<10 Tweets
4.3%
Mass Following (>2K)
0.0%
New (<90 days)
32.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
12.4%
<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.
44,986,487
Total Potential Reach
58
Median Follower Reach
227
75th Percentile Reach
3.7%
>1K followers
0.4%
>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).
64.1%
Creators
32,048 accounts
17.3%
Consumers
8,635 accounts
18.6%
Dormant
9,317 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):
193
Verified Followers
0.36% of total
11,776
Protected Accounts
21.91% of total
7 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 | 14,106,762 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hootsuite | 7,331,496 | Social Media Manager | Social media, news, tips |
| @yokoono | 4,535,773 | Artist | Peace, Love, Activism |
| @verified | 4,201,233 | - | - |
| @SoccerKingJP | 1,352,534 | Sports Journalist | soccer, YouTube, sports |
| @LILBTHEBASEDGOD | 1,251,090 | Rapper | Music, Writing, Film |
| @KalaniBallFree | 1,246,323 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @JoeyBats19 | 1,050,962 | Baseball Player | Baseball, Philanthropy, Sports |
| @LeBronJames | 1,006,966 | - | - |
| @kishownstarmaps | 836,838 | Voice Actor | Voice Actor, GRANRODEO, NBA |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34,958
Followers With Bio
18,801
Followers Without Bio
65.03%
% With Bio
34.97%
% 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 3,248 analyzed274,266
Combined Engagement
0
Total Likes
274,266
Total Retweets
54,853
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @naomiosaka: https://t.co/miKzgSdGxY
RT @warriors_jp: BTSの #SUGA さんと #ステフィン・カリー 選手🏀🗼 @BTS_twt x #SUGAatNBAJapan @bts_bighit #ウォリアーズ #ウォリアーズ来日 https://t.co/5p0p8ixh8P
RT @shinjo_freedom: たった今北海道日本ハムファイターズの監督に就任する事が決まりました。 プロ野球の存在意義は そこの街に住む人達の暮らしが少しだけ彩られたり、 単調な生活を少しだけ豊かにする事に他なりません その裏側に誰を笑顔にするのかを常に心に秘めて 新庄剛志らしく突き進んで生きます!
RT @espn: The Black Mamba is forever immortalized. Kobe Bryant is a Hall of Famer 🐍🏆 https://t.co/YX1j82YOnZ
RT @espn: Two years ago today, the world lost Kobe and Gianna Bryant 🙏 https://t.co/7Fd12A7RQS
Key Insights & Takeaways
The content often highlights intense and emotional moments in games, which can drive engagement. The tweets focus on both Japanese and international basketball, appealing to a broad audience. There is a strong emphasis on the emotional and psychological aspects of sports, which resonates with fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,687
- + 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 @chrisnewtokyo reveals an well-established Twitter presence with 58,687 followers. The account demonstrates a content-creator strategy, averaging 382.1 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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