MKタクシー🚕
ハートマークのMKタクシー公式Xです。担当者が会社や京都情報等を発信し、時々お返事します。質問や配車等についてはお答え出来かねますのでご了承ください。お問い合せはリンクよりお願いします→https://www.mk-group.co.jp/ 各種リンク→https://linktr.ee/mktaxi
83,564
Followers
860
Following
38,672
Tweets
488.4
Avg Engagement
808
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MKofficial_PR'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:2011-01-04
- Verification:No
- Location:京都 京都市
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:263.9
- Avg Retweets per Tweet:224.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweets推文互动率较高，尤其在发布有趣或视觉吸引的内容时，如动物照片和旅游相关话题。
263.9
Avg Likes/Tweet
224.5
Avg Retweets/Tweet
856,982
Total Likes
728,987
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
97
Median Likes
16
Median Retweets
371
75th Percentile
53,458
Top Tweet
5.85
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
42.4%
Original
40.6%
Replies
12.0%
Retweets
5.0%
Quotes
0.0%
Threads
0.4%
With Media
69.2%
With Links
19.3%
With #Tags
39.1%
With @Mentions
26.7%
With Emojis
95
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.96
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
98.0%
Weekday Posts
2.0%
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 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 391 retweets (12% 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主要受众为对京都旅游和出租车服务感兴趣的用户，以及可能有出行需求的潜在客户。
Average
Audience Quality
21.3%
Suspicion Index
17.7%
Low-Quality %
77
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.3%
Empty Bio
11.8%
<10 Tweets
25.8%
Mass Following (>2K)
0.0%
New (<90 days)
45.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.7%
No URL
8.0%
<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.
9,347,904
Total Potential Reach
77
Median Follower Reach
294
75th Percentile Reach
9.3%
>1K followers
1.2%
>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).
78.0%
Creators
7,796 accounts
10.3%
Consumers
1,029 accounts
11.8%
Dormant
1,175 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):
69
Verified Followers
0.69% of total
1,439
Protected Accounts
14.39% of total
6 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 |
|---|---|---|---|
| @bozu_108 | 1,786,519 | Bartender | Pokémon GO, bars, virtual monk bar |
| @AliceProject_mb | 359,088 | Idol | Music, Idol, Performance |
| @rinc7600 | 302,961 | Illustrator | Kancolle, Drawing, Doujinshi |
| @May_Roma | 156,931 | IT Consultant | IT, 著述家, 国際関係 |
| @kohnan_official | 144,433 | Retail | DIY, Home Improvement, Camping |
| @mitsuyuka_lp | 138,700 | Photographer | photography, fantasy landscapes, cats |
| @irisohyama_info | 132,995 | Company | innovation, love, customer satisfaction |
| @haikarabitch | 115,881 | Cosplayer | cosplay, anime, fanart |
| @CRECIA_JP | 108,393 | Paper Industry | Tissue, Toilet paper, Giveaways |
| @JR_TOKAITOURS | 95,129 | Travel/Tourism | Travel, Shinkansen, Tours |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,269
Followers With Bio
2,731
Followers Without Bio
72.69%
% With Bio
27.31%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed216,562
Combined Engagement
0
Total Likes
216,562
Total Retweets
43,312
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @gionbubu: 危うく見逃すところでした。 https://t.co/RMkYT23Mq4
RT @englishcafe225: 電車に乗っていたら… 「私ごとですが、この電車を持ちまして私の41年の勤務を終えます。本日のご乗車誠に有難うございました」 と車掌さんが言ってて、駅に着くとご家族とみらる方が花束💐を持って待っていてジーンとした こういう私事はどんどんシェアしていただきたい お疲れ様でした✨
RT @a_cupapa: 祇園祭宵山で賑わう、八坂神社前⛩ 無事、鴨川に帰れますように🦆💨 #祇園祭 #宵山 #八坂神社 #鴨 #カモ https://t.co/rPp6JLt85n
RT @aizawa0192: 京都で出会った幻想的な桜の絨毯 https://t.co/4W0lG9E2Cl
RT @gionbubu: 高瀬川の花筏より堰を切って流れ落ちる桜。水中での桜乱舞は初めての体験。 https://t.co/rkp0gJWOIq
Key Insights & Takeaways
账号内容以公司宣传和趣味性话题为主， 注重与粉丝的互动和品牌形象塑造， 通过链接引导用户获取更多信息和联系方式。
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 83,564
- + 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 @MKofficial_PR reveals an well-established Twitter presence with 83,564 followers. The account demonstrates a content-creator strategy, averaging 488.4 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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