ローチケスポーツ
ローチケスポーツ公式アカウントです。 ※なりすましアカウントにご注意ください。 公式アカウントのIDは@lawsonticket_spです。 プロ野球⚾/Jリーグ⚽/モータースポーツ🏎/フィギュアスケート⛸/プロレス・格闘技🤼/相撲/バスケットボール🏀/バレーボール🏐 のチケット情報をつぶやきます。
106,550
Followers
984
Following
785,529
Tweets
160.5
Avg Engagement
199
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lawsonticket_sp'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:2017-06-13
- Verification:No
- Location:日本
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:35.0
- Avg Retweets per Tweet:125.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,234 tweetsThe account has a strong engagement rate with an average of 2,479 likes and 1,429 retweets per tweet. It frequently shares event promotions and ticket sales information, which drives interaction.
35.0
Avg Likes/Tweet
125.4
Avg Retweets/Tweet
113,331
Total Likes
405,618
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
31
75th Percentile
77,776
Top Tweet
1.51
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
53.9%
Original
27.6%
Replies
12.6%
Retweets
5.8%
Quotes
0.0%
Threads
0.0%
With Media
85.4%
With Links
52.5%
With #Tags
40.4%
With @Mentions
66.8%
With Emojis
139
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.8%
Weekday Posts
33.2%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,234 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 409 retweets (13% 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 3,234 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 followersThe primary audience includes sports fans and event attendees looking for ticket information. The audience is likely interested in events like figure skating, baseball, and motorsports.
Average
Audience Quality
20.2%
Suspicion Index
15.1%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.5%
Empty Bio
4.2%
<10 Tweets
25.1%
Mass Following (>2K)
0.0%
New (<90 days)
50.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
2.6%
<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.
20,993,722
Total Potential Reach
71
Median Follower Reach
278
75th Percentile Reach
9.2%
>1K followers
0.5%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
89.0%
Creators
8,895 accounts
6.9%
Consumers
690 accounts
4.2%
Dormant
415 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):
21
Verified Followers
0.21% of total
546
Protected Accounts
5.46% 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 |
|---|---|---|---|
| @JohnCena | 14,093,433 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SoccerKingJP | 1,350,874 | Sports Journalist | soccer, YouTube, sports |
| @SinghLions | 1,330,953 | Restaurateur | Food, Travel, Influencer |
| @SUPER_FORMULA | 61,670 | Racing | Racing, Championship, Global |
| @noah_marufuji_ | 57,155 | Professional Wrestler | Pro wrestling, Brand ambassador, Travel |
| @daichanja | 56,809 | Illustrator | Pixiv, Nico Nico, Melonbooks |
| @JAMA_jpn | 46,824 | - | - |
| @andland_info | 41,587 | Entertainment | Entertainment, Live Commerce, Talent |
| @RemiFra500 | 39,345 | Fan | Anime, Games, Touhou |
| @Master_Wato | 35,519 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,255
Followers With Bio
2,745
Followers Without Bio
72.55%
% With Bio
27.45%
% 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.
Buy Follower Data
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 3,234 analyzed142,828
Combined Engagement
0
Total Likes
142,828
Total Retweets
28,566
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @movie_slamdunk: 映画『SLAM DUNK』(タイトル未定)。 #2022年秋公開 予定。 #SLAMDUNK #SLAMDUNKMOVIE https://t.co/eODslBBTTJ
RT @lawson_ticket: ✨Wフォロー&RTキャンペーン✨ 🎄 #ユナイテッドシネマ × #ローチケ 🎄 #ニンテンドースイッチ を1名様 #QUOカード (10,000円) を3名様 プレゼント🎁 応募は簡単👇 ① @UNITED_CINEMAS と @lawson_ticket をフォロー ②本ツイートをRT ▼詳細はこちら https://t.co/H3Bz7ZL79j #NintendoSwitch https://t.co/mmkjoAVcs7
RT @Angels: Unreal. https://t.co/NPJEYOv2Yf
RT @HMV_Japan: ⚾️フォロー&RT⚾️ #大谷翔平選手MVP 記念グッズ発売決定🎉 決定を記念して👏 @HMV_Japan をフォロー&この投稿をRTで 5,000 #Ponta ポイント当たる🎯 抽選で1⃣7⃣名様にプレゼント🎁 ~12/16(木)まで⚾️ #大谷翔平 #オオタニサン #ポンタ #ポン活 #HMV 🔻グッズ詳細は https://t.co/v36lUkJS7Q https://t.co/RBfs1sz0Io
RT @l_tike_live: 💝ローチケライブ×バレンタインキャンペーン💝 @l_tike_live をフォロー&このツイートをRTすると抽選で15名様にGODIVAのギフト券3,000円分が当たる! キャンペーン期間は2/14(月)23:59まで💡 詳細はこちら👇 https://t.co/a7qiqM3UXR #GODIVA #プレキャン #バレンタイン https://t.co/bAyKz6CKYL
Key Insights & Takeaways
The account heavily promotes figure skating events, especially those involving Yuzuru Hanyu. It collaborates with brands like 雪肌精 for event promotions. It uses limited-time offers and exclusive ticket sales to drive engagement and urgency.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 106,550
- + 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 @lawsonticket_sp reveals an well-established Twitter presence with 106,550 followers. The account demonstrates a content-creator strategy, averaging 160.5 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access