KINTO～クルマのサブスク🚘～【キント公式】
月々定額で #トヨタ #レクサス の新車に乗れる”KINTO ONE"、純正オプションが後付けできる"KINTO FACTORY"などを提供しています😃クルマに関する税金や任意保険、メンテナンスなどの面倒事はサブスクで❗️モビリティライフのサポートから、時々日常会話もしています👍※全ての問合せには対応出来ません🙇
83,145
Followers
2,902
Following
372,361
Tweets
56.0
Avg Engagement
248
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KINTO_JP'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:2019-09-03
- Verification:Yes
- Location:愛知 名古屋市 中村区
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:19.6
- Avg Retweets per Tweet:36.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweets账号通过抽奖和互动活动提高参与度，同时结合汽车相关话题和用户生成内容来增强互动。
19.6
Avg Likes/Tweet
36.4
Avg Retweets/Tweet
63,640
Total Likes
118,073
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
19
75th Percentile
28,433
Top Tweet
0.67
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
36.5%
Original
44.5%
Replies
15.0%
Retweets
4.0%
Quotes
0.0%
Threads
0.1%
With Media
49.3%
With Links
59.1%
With #Tags
55.2%
With @Mentions
80.4%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.22
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.9%
Weekday Posts
4.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 487 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 3,247 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目标受众主要是对汽车感兴趣的新手和潜在购车者，以及对订阅服务和促销活动感兴趣的用户。
Average
Audience Quality
25.8%
Suspicion Index
15.8%
Low-Quality %
85
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.8%
Empty Bio
5.4%
<10 Tweets
41.2%
Mass Following (>2K)
0.0%
New (<90 days)
56.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
3.8%
<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.
9,783,493
Total Potential Reach
85
Median Follower Reach
358
75th Percentile Reach
13.1%
>1K followers
1.1%
>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).
88.7%
Creators
8,868 accounts
5.9%
Consumers
591 accounts
5.4%
Dormant
541 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):
50
Verified Followers
0.5% of total
504
Protected Accounts
5.04% 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 |
|---|---|---|---|
| @SoccerKingJP | 1,350,413 | Sports Journalist | soccer, YouTube, sports |
| @kaori_saison | 360,163 | Credit Card Marketing | Credit Saison, Campaigns, Saison Card |
| @BUFFALO_melco | 330,862 | - | - |
| @kibun_kitchen | 281,956 | Food Manufacturer | food, noodles, fish |
| @EarthOfficialJP | 276,189 | Pharmaceuticals | environment, home, customer feedback |
| @elecom_pr | 222,946 | Tech Company | innovation, lifestyle, support |
| @edokko_dey | 190,389 | Actor | acting, voice acting, challenges |
| @virtualworks1 | 157,661 | Cognitive Scientist | brainwashing, cognitive science, virtual doctor |
| @mufgcr_official | 125,973 | Credit Card Company | Credit cards, Financial services, Banking |
| @kameyamannendo | 121,842 | Confectioner | sweets, traditional, online shop |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,220
Followers With Bio
2,780
Followers Without Bio
72.2%
% With Bio
27.8%
% 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 3,247 analyzed68,521
Combined Engagement
10,153
Total Likes
58,368
Total Retweets
13,704
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
【フォロー&RTでAmazonギフト券が当たる！】 #KINTOの新生活応援キャンペーン ＼KINTOって？／ 頭金なしでも新車が持てる「クルマのサブスク」🚘 何かと物入りな #新生活 の時期にもぴったり！ 支払いも月々定額で諸費用込みだから安心👍 ▼参加方法 ①@KINTO_JP をフォロー ②この投稿をリツイート
RT @KINTO_JP: 【フォロー&RTでAmazonギフト券が当たる！】 #KINTOの新生活応援キャンペーン ＼KINTOって？／ 頭金なしでも新車が持てる「クルマのサブスク」🚘 何かと物入りな #新生活 の時期にもぴったり！ 支払いも月々定額で諸費用込みだから安心👍 ▼参加方法 ①@KINTO_JP をフォロー ②この投稿をリツイート
RT @TIGERandBUNNY: 2022. 10. 7. Fri. 16:00 JST 🎊🎊🎊🎊🎊🎊🎊🎊🎊 🎊🎊🎊🎊 『TIGER & BUNNY 2』パート2(第14話～第25話) Netflixにて全世界独占配信スタート！ 🎊🎊🎊🎊🎊🎊🎊🎊🎊 🎊🎊🎊🎊 職業・ヒーロー(会社員)！ 絆を深めたヒーロー達に新たな試練が訪れる！ #tigerbunny #タイバニ #タイバニ2 https://t.co/qYwmdP9IWo
【お知らせ】ヒーローがプレイスメント企業に来社⁉️ KINTOがワイルドタイガーに直撃インタビューしました🐯 また、 #タイバニ2 の開始を記念した、虎徹とバーナビーのフィギュアが当たるキャンペーンも実施中です。 ぜひご覧ください🙌 https://t.co/fj4928f4Ll #キント #KINTOマガジン
RT @seki_koe_nodo: どうも！キャンディのすぐ噛まれちゃう方、浅田飴です！ 浅田飴はアニメ『TIGER & BUNNY 2』のHERO「ワイルドタイガー」の喉…！ではなく「左踵（かかと）」へプレイスメントいたします！ #TB2プレイスメント #タイバニ2 https://t.co/nN1gN2CK5N
Key Insights & Takeaways
账号通过抽奖活动吸引用户关注和转发，提高品牌曝光度。 内容涵盖汽车订阅服务、促销活动和用户互动，增强用户粘性。 结合热门话题和节日活动，如新生活和免許取得，提高用户参与度。
Strengths
- + Established follower base of 83,145
- + 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 @KINTO_JP reveals an growing Twitter presence with 83,145 followers. The account demonstrates a conversation-first approach, averaging 56.0 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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