ゴーちゃん。
テレビ朝日の公式マスコットキャラクターのパンダブイ！｜#ゴーちゃん朝のお悩み相談 でお悩み募集中ブイ｜＃今日のおしり｜ ✨インスタ→https://www.facebook.com/unsupportedbrowser ｜グッズ販売中ブイ→ https://shop.tv-asahi.co.jp/original/go-chan
112,209
Followers
604
Following
43,366
Tweets
846.3
Avg Engagement
552
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gochan_V'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:2011-06-30
- Verification:Yes
- Location:六本木かTwitter
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:715.0
- Avg Retweets per Tweet:131.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweets投稿の平均いいね数とリツイート数が高く、ファンとの交流が活発です。イベントやステージに関する投稿が特に反応が良い傾向があります。
715.0
Avg Likes/Tweet
131.3
Avg Retweets/Tweet
2,322,287
Total Likes
426,443
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
216
Median Likes
20
Median Retweets
650
75th Percentile
54,722
Top Tweet
7.54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.8%
Original
2.1%
Replies
5.1%
Retweets
20.0%
Quotes
0.0%
Threads
0.1%
With Media
74.7%
With Links
39.9%
With #Tags
6.7%
With @Mentions
13.5%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
3.89
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.2%
Weekday Posts
30.8%
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 167 retweets (5% 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 10,000 followers主に若い層のファンや、テレビ朝日を視ている人々がターゲットです。イベントやステージ出演の実況を求める視聴者が多いです。
Good
Audience Quality
18.0%
Suspicion Index
20.1%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.7%
Empty Bio
13.7%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
49.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
9.5%
<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.
18,287,991
Total Potential Reach
21
Median Follower Reach
106
75th Percentile Reach
2.6%
>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).
73.2%
Creators
7,316 accounts
13.1%
Consumers
1,313 accounts
13.7%
Dormant
1,371 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):
15
Verified Followers
0.15% of total
2,107
Protected Accounts
21.07% of total
5 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 | 14,093,741 | Wrestler | Wrestling, Motivation, Self-promotion |
| @simofuriseiyam | 545,371 | Comedian | Variety, Comedy, Radio |
| @TE_RUR_ET | 420,579 | Event Planner | Music, Events, Excitement |
| @sumika_inc | 369,417 | Musicians | Music, Live Tour, Anniversary |
| @ShinyaKiyozuka | 188,128 | Unknown | Music, Travel, Food |
| @tbs_baseball | 142,375 | - | - |
| @a_yanaka | 127,852 | Musician | Tokyo Ska Paradise Orchestra, Baritone Saxophonist, Poetry |
| @mackey_jun | 126,136 | ギタリスト | music, guitar, band |
| @niceflight_ex | 107,664 | TV Actor | aviation, drama, love |
| @sascha348 | 94,652 | Broadcaster | music, sports, events |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,928
Followers With Bio
3,072
Followers Without Bio
69.28%
% With Bio
30.72%
% 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 analyzed169,780
Combined Engagement
145,676
Total Likes
24,104
Total Retweets
33,956
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
ドリフェスの #HeySayJUMP のステージに出演したニノと、初めて2Sを撮れて感謝カンゲキブイ！ゴーちゃんの「５」ポーズをしてくれて本当に嬉しいブイ！ボクのグッズをたくさん渡せたし、いっぱいおしゃべりできたブイ。これからもずっと友達ブイ！ #ゴーちゃんドリフェス実況 #drefes #二宮和也 https://t.co/nfX4jqYv0K
ストプリの仲良し具合が最高すぎるブイ。ボクもあんな仲間がほしいブイ… #Mステ
SixTONESがステージ裏に向かう時に、みんなボクに声をかけてくれてうれしかったし、ほっくんが「ヨッ！」って言ってくれたのが「久しぶりに会った地元の友達」みたいで最高だったブイ ＃Mステ ＃ゴーちゃんMステ実況
ジャニーズWESTの小瀧くんとたくさんお話できたブイ！！「時給は？」とか「頭重くて肩凝るやろ」とか、ちょっとアレなことばかり聞かれたけど楽しかったブイ！！ ＃Mステ ＃ゴーちゃんMステ実況
ボクの夏うたは 「おいで、Sunshine！」 「みなみなサマー」 「スペースジャーニー」 「OH!サマーKING」 「サマー・ステーション」 迷うブイ… ＃Mステ
Key Insights & Takeaways
公式キャラクターとしての認知度が高く、ファンとのつながりが重要 イベントやステージ出演の実況投稿が高エンゲージメントを生み出している インスタやグッズ販売リンクを活用し、ファンとの関わりを深めている
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 112,209
- + 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 @gochan_V reveals an well-established Twitter presence with 112,209 followers. The account demonstrates a content-creator strategy, averaging 846.3 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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